Genetic Programming Bibliography entries for William B Langdon

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GP coauthors/coeditors: Jaume Bacardit, Ivan T Tanev, Jorn Mehnen, Thomas Bartz-Beielstein, Lawrence David Davis, Carlos Artemio Coello Coello, Dara Curran, Thomas Jansen, Daniele Loiacono, Albert Orriols-Puig, Ryan J Urbanowicz, Simon Harding, Man Leung Wong, Garnett Carl Wilson, Tony Lewis, Stephen L Smith, Stefano Cagnoni, Robert M Patton, William Michael Rand, Forrest Stonedahl, Gisele L Pappa, Alex Alves Freitas, Jerry Swan, John R Woodward, Maria J Blesa, Christian Blum, Steven M Gustafson, Ekaterina (Katya) Vladislavleva, Mark W Hauschild, Martin Pelikan, Ender Ozcan, Andrew J Parkes, Jonathan E Rowe, Pascal Bouvry, Samee U Khan, Gregoire Danoy, Alexandru-Adrian Tantar, Emilia Tantar, Bernabe Dorronsoro, Miguel Nicolau, L Darrell Whitley, Wolfgang Banzhaf, S J Barrett, Martijn C J Bot, Bernard Buxton, James Callan, Justyna Petke, Phyllis Chong, Riccardo Poli, Cecilia Di Chio, Jose Javier Dolado Cosin, Daniel Rodriguez, Mark Harman, Federica Sarro, Anna Esparcia-Alcazar, Ying-ping Chen, Gabriela Ochoa, Marc Schoenauer, Anne Auger, Hans-Georg Beyer, Nikolaus Hansen, Steffen Finck, Raymond Ros, Laurence D Merkle, Frank William Moore, Sevan G Ficici, Rick L Riolo, Nawwaf Kharma, William R Buckley, Julian F Miller, Kenneth O Stanley, Will N Browne, Jan Drugowitsch, Nicola Beume, Mike Preuss, Jim DeLeo, Alexandru Floares, Aaron Baughman, Maarten Keijzer, Arthur K Kordon, Clare Bates Congdon, Robert Feldt, Michael O'Neill, Conor Ryan, Peter Nordin, Yue Jia, David Robert White, Andrea Arcuri, John A Clark, Westley Weimer, Iman Hemati Moghadam, Shin Yoo, Fan Wu, Jens Krinke, Yuanyuan Zhang, Thomas D Haynes, Una-May O'Reilly, Justinian Rosca, Christian Igel, Dirk V Arnold, Christian Gagne, Elena Popovici, Dimo Brockhoff, Kalyanmoy Deb, Benjamin Doerr, James A Foster, Tobias Glasmachers, Emma Hart, Malcolm Heywood, Hitoshi Iba, Christian Jacob, Yaochu Jin, Marouane Kessentini, Joshua D Knowles, Pedro Larranaga, Sean Luke, Gabriel Luque, John A W McCall, Marco A Montes de Oca, Alison A Motsinger, Yew-Soon Ong, Michael E Palmer, Konstantinos E Parsopoulos, Gunther R Raidl, Sebastian Risi, Guenther Ruhe, Tom Schaul, Thomas Schmickl, Bernhard Sendhoff, Thomas Stuetzle, Dirk Thierens, Julian Togelius, Carsten Witt, Christine Zarges, Alexandru Marginean, Oliver Krauss, Adil Qureshi, Philip Treleaven, Christopher D Clack, Terence Soule, Terence C Fogarty, Erick Cantu-Paz, K Mathias, Rajkumar Roy, K Balakrishnan, Vasant Honavar, Guenter Rudolph, Joachim Wegener, Larry Bull, Mitchell A Potter, Alan C Schultz, Edmund Burke, Natasha Jonoska, Owen Holland, Thiemo Krink, Christopher R Stephens, Andrew P Harrison, J Rowsell, Olivia Sanchez Graillet, R I (Bob) McKay, Lee Spector, Marc Modat, Brian Yee Hong Lam, Albert Vilella, Bobby R Bruce, Bob Davidson, Nadarajen Veerapen, Ronny Lorenz, Karina Zile, Christopher Timperley, Zhen Yu Ding, Yiwei Lyu, Nicolas Chausseau, Eric Schulte, Shin Hwei Tan, Kevin Leach, Yu Huang, Gabin An, Erik M Fredericks, Seongmin Lee, Emily Winter, Michail Basios, Myra B Cohen, Aymeric Blot, Markus Wagner, Simos Gerasimou, Michael C Gerten, David Clark, Afnan Al-Subaihin, Brad Alexander, Vesna Nowack, Hyeonseok Lee, Daniel Blackwell, Daniel Hulme, Andreas Loizides, Mel Slater, Leslie Luthi, Marco Tomassini, Mario Giacobini, Nicholas Freitag McPhee, Pier Luca Lanzi, Andrea G B Tettamanzi, Jonathan Page, Anabela Simoes, Dirk Sudholt, Nur Zincir-Heywood, Jose Santos Reyes, Julia Handl, Amarda Shehu, David Walker, Richard Everson, Jonathan E Fieldsend, Karthik Kuber, Masaya Nakata, Kamran Shafi, Daniel R Tauritz, Manuel Lopez-Ibanez, Stefan Wagner, Michael Affenzeller, Youhei Akimoto, Olaf Mersmann, Petr Posik, Tea Tusar, Boris Naujoks, Abraham Prieto, Nicolas Bredeche, Evert Haasdijk, Chris Simons, Krzysztof Krawiec, James Smith, Colin G Johnson, Alberto Moraglio, Saemundur Oskar Haraldsson, Claire Le Goues, Stephanie Forrest, Kathryn T Stolee, Alden H Wright, Stephen Dignum, John Koza, Leonardo Vanneschi, Peter John Angeline, Erik Goodman, Annie S Wu, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H Garzon, Leonardo Trujillo, Kuber Karthik, Danilo Vasconcellos Vargas, Silvino Fernandez Alzueta, Pablo Valledor Pellicer, Dejan Tusar, Stephane Doncieux, Joshua E Auerbach, Richard Duro, Harold de Vladar, Mostafa M Hashim Ellabaan, Frank Neumann, Paul Kaufmann, Oliver Kramer, P G M Baltus, Giovanni Iacca, M N Andraud, Vanessa Volz, Frank Moore, Gunes Kayacik, Fabio Daolio, Arnaud Liefooghe, Sebastien Verel, Giovanni Squillero, Alberto Tonda, William La Cava, Randal Olson, Patryk Orzechowski, Ernesto Tarantino, Ivanoe De Falco, Antonio Della Cioppa, Umberto Scafuri, Heiko Hamann, Jared Moore, Anthony Clark, Bogdan Filipic, Alma Rahat, Handing Wang,

Genetic Programming Articles by William B Langdon

1. W. B. Langdon. Searching the Genetic Programming Bibliography. SIGEVOlution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation, 17(1) 2024. details

2. W. B. Langdon. ``Lost Gems'' ICGA 1985: Proceedings of an International Conference on Genetic Algorithms and their Applications. SIGEVOlution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation, 17(3) 2024. details

3. William B. Langdon and Gabin An and Aymeric Blot and Vesna Nowack and Justyna Petke and Shin Yoo and Oliver Krauss and Erik M. Fredericks and Daniel Blackwell. The 13th International Workshop on Genetic Improvement (GI @ ICSE 2024). SIGSOFT Software Engineering Notes, 49(3):42-50, 2024. details

4. W. B. Langdon. Generating Trust. Communications of the ACM, 67(6):8, 2024. Letter to the editor. details

5. W. B. Langdon. Jaws 30. Genetic Programming and Evolvable Machines, 24(2):Article number: 19, 2023. Special Issue: Thirtieth Anniversary of Genetic Programming: On the Programming of Computers by Means of Natural Selection. details

6. William B. Langdon and Vesna Nowack and Justyna Petke and Erik M. Fredericks and Gabin An and Aymeric Blot and Markus Wagner and Hyeonseok Lee. Genetic Improvement @ ICSE 2023. SIGSOFT Software Engineering Notes, 48(4):51-59, 2023. details

7. W. B. Langdon. Response to comments on ``Jaws 30''. Genetic Programming and Evolvable Machines, 24(2):Article number: 26, 2023. Special Issue: Thirtieth Anniversary of Genetic Programming: On the Programming of Computers by Means of Natural Selection. details

8. William B. Langdon. Dissipative Arithmetic. Complex Systems, 31(3):287-309, 2022. details

9. W. B. Langdon. Genetic Programming Convergence. Genetic Programming and Evolvable Machines, 23(1):71-104, 2022. details

10. William B. Langdon. Deep Genetic Programming Trees are Robust. ACM Transactions on Evolutionary Learning and Optimization, 2(2) 2022. details

11. W. B. Langdon. Evolving Open Complexity. SIGEVOlution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation, 15(1) 2022. details

12. William B. Langdon and Wolfgang Banzhaf. Long-Term Evolution Experiment with Genetic Programming. Artificial Life, 28(2):173-204, 2022. Invited submission to Artificial Life Journal special issue of the ALIFE'19 conference. details

13. William B. Langdon and Oliver Krauss. Genetic Improvement of Data for Maths Functions. ACM Transactions on Evolutionary Learning and Optimization, 1(2):Article No.: 7, 2021. details

14. Nicholas Freitag McPhee and William B. Langdon. GP+EM 20 Anniversary Editorial. Genetic Programming and Evolvable Machines, 21(1-2):3-9, 2020. Guest Editorial. details

15. W. B. Langdon. Multi-threaded Memory Efficient Crossover in C++ for Generational Genetic Programming. SIGEVOLution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation, 13(3):2-4, 2020. details

16. W. B. Langdon. Genetic Programming and Evolvable Machines at 20. Genetic Programming and Evolvable Machines, 21(1-2):205-217, 2020. Twentieth Anniversary Issue. details

17. William B. Langdon and Westley Weimer and Justyna Petke and Erik Fredericks and Seongmin Lee and Emily Winter and Michail Basios and Myra B. Cohen and Aymeric Blot and Markus Wagner and Bobby R. Bruce and Shin Yoo and Simos Gerasimou and Oliver Krauss and Yu Huang and Michael Gerten. Genetic Improvement @ ICSE 2020. SIGSOFT Software Engineering Notes, 45(4):24-30, 2020. details

18. Bill Langdon. Mark Harman wins both IEEE and ACM Awards in 2019. SIGEVOlution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation, 12(2):10-11, 2019. details

19. W. B. Langdon. Big Data Driven Genetic Improvement for Maintenance of Legacy Software Systems. SIGEVOlution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation, 12(3):6-9, 2019. details

20. W. B. Langdon. Home Monitoring for Parkinson's Patients Already.... Communications of the ACM, 62(2):7, 2019. Letter to the editor. details

21. William B. Langdon and Westley Weimer and Christopher Timperley and Oliver Krauss and Zhen Yu Ding and Yiwei Lyu and Nicolas Chausseau and Eric Schulte and Shin Hwei Tan and Kevin Leach and Yu Huang and Gabin An. The State and Future of Genetic Improvement. SIGSOFT Software Engineering Notes, 44(3):25-29, 2019. details

22. Leonardo Trujillo and W. B. Langdon. EuroGP 2018 Panel Debate: Genetic Programming in the Era of Deep Neural Networks. SIGEVOlution, 11(2):3-6, 2018. details

23. W. B. Langdon. Human-Competitive Awards 2018. SIGEVOlution, 11(4):3-8, 2018. details

24. Justyna Petke and Claire Le Goues and Stephanie Forrest and William B. Langdon. Genetic Improvement of Software: Report from Dagstuhl Seminar 18052. Dagstuhl Reports, 8(1):158-182, 2018. details

25. Justyna Petke and Saemundur O. Haraldsson and Mark Harman and William B. Langdon and David R. White and John R. Woodward. Genetic Improvement of Software: a Comprehensive Survey. IEEE Transactions on Evolutionary Computation, 22(3):415-432, 2018. details

26. Justyna Petke and Mark Harman and William B. Langdon and Westley Weimer. Specialising Software for Different Downstream Applications Using Genetic Improvement and Code Transplantation. IEEE Transactions on Software Engineering, 44(6):574-594, 2018. details

27. W. B. Langdon and Brian Yee Hong Lam. Genetically Improved BarraCUDA. BioData Mining, 20(28) 2017. details

28. William B. Langdon and Brian Yee Hong Lam and Marc Modat and Justyna Petke and Mark Harman. Genetic Improvement of GPU Software. Genetic Programming and Evolvable Machines, 18(1):5-44, 2017. details

29. Jose Javier Dolado and Daniel Rodriguez and Mark Harman and William B. Langdon and Federica Sarro. Evaluation of Estimation Models using the Minimum Interval of Equivalence. Applied Soft Computing, 49:956-967, 2016. details

30. John R. Woodward and Justyna Petke and William Langdon. How computers are learning to make human software work more efficiently. The Conversation, 2015. details

31. W. B. Langdon. Performance of Genetic Programming Optimised Bowtie2 on Genome Comparison and Analytic Testing (GCAT) Benchmarks. BioData Mining, 8(1) 2015. details

32. William B. Langdon and Mark Harman. Optimising Existing Software with Genetic Programming. IEEE Transactions on Evolutionary Computation, 19(1):118-135, 2015. details

33. William B. Langdon. News of the GP Bibliography http://www.cs.bham.ac.uk/~wbl/biblio/. SIGEVOlution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation, 6(3-4):12-16, 2014. details

34. W. B. Langdon. Distilling GeneChips with Genetic Programming on the Emerald GPU supercomputer. SIGEVOlution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation, 6(1):15-21, 2012. details

35. W. B. Langdon. The Halting Problem in the Clear Light of Probability. Communications of the ACM, 55(6):6, 2012. letters to the editor. details

36. W. B. Langdon. Graphics Processing Units and Genetic Programming: An overview. Soft Computing, 15:1657-1669, 2011. details

37. Riccardo Poli and Leonardo Vanneschi and William B. Langdon and Nicholas Freitag McPhee. Theoretical Results in Genetic Programming: The next ten years?. Genetic Programming and Evolvable Machines, 11(3/4):285-320, 2010. Tenth Anniversary Issue: Progress in Genetic Programming and Evolvable Machines. details

38. William B. Langdon and Mark Harman and Yue Jia. Efficient multi-objective higher order mutation testing with genetic programming. Journal of Systems and Software, 83(12):2416-2430, 2010. details

39. W. B. Langdon and S. M. Gustafson. Genetic Programming and Evolvable Machines: ten years of reviews. Genetic Programming and Evolvable Machines, 11(3/4):321-338, 2010. Tenth Anniversary Issue: Progress in Genetic Programming and Evolvable Machines. details

40. W. B. Langdon and A. P. Harrison. Evolving DNA motifs to Predict GeneChip Probe Performance. Algorithms in Molecular Biology, 4(6) 2009. details

41. W. B. Langdon. Scaling of Program Functionality. Genetic Programming and Evolvable Machines, 10(1):5-36, 2009. details

42. W. B. Langdon and A. P. Harrison. GP on SPMD parallel Graphics Hardware for mega Bioinformatics Data Mining. Soft Computing, 12(12):1169-1183, 2008. Special Issue on Distributed Bioinspired Algorithms. details

43. W. B. Langdon and R. Poli and W. Banzhaf. An Eigen Analysis of the GP Community. Genetic Programming and Evolvable Machines, 9(3):171-182, 2008. details

44. William B. Langdon and Riccardo Poli. Mapping Non-conventional Extensions of Genetic Programming. Natural Computing, 7:21-43, 2008. Invited contribution to special issue on Unconventional computing. details

45. W. B. Langdon and W. Banzhaf. Repeated Patterns in Genetic Programming. Natural Computing, 7(4):589-613, 2008. details

46. W. B. Langdon and Riccardo Poli. Evolving Problems to Learn about Particle Swarm Optimisers and other Search Algorithms. IEEE Transactions on Evolutionary Computation, 11(5):561-578, 2007. details

47. Marco Tomassini and L. Luthi and M. Giacobini and W. B. Langdon. The Structure of the Genetic Programming Collaboration Network. Genetic Programming and Evolvable Machines, 8(1):97-103, 2007. details

48. Riccardo Poli and William B. Langdon. Backward-chaining Evolutionary Algorithms. Artificial Intelligence, 170(11):953-982, 2006. details

49. W. B. Langdon. Web Usage of the GP Bibliography. SIGEVOlution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation, 1(4):16-21, 2006. details

50. W. B. Langdon and S. Gustafson. Genetic Programming and Evolvable Machines: Five years of Reviews. Genetic Programming and Evolvable Machines, 6(2):221-228, 2005. details

51. William B. Langdon and Wolfgang Banzhaf. Repeated Sequences in Linear Genetic Programming Genomes. Complex Systems, 15(4):285-306, 2005. details

52. W. B. Langdon and B. F. Buxton. Genetic Programming for Mining DNA Chip data from Cancer Patients. Genetic Programming and Evolvable Machines, 5(3):251-257, 2004. details

53. W. B. Langdon. Predicting Cancer. UCL Science, 17:2, 2003. details

54. William B. Langdon. Was Occam Wrong? Blunting Occam's Razor. BNVKI newsletter, 19(3):56-57, 2002. details

55. William B. Langdon. Evolutionary Computation II Session at BNAIC 2002. Newsletter BNVKI, 19(6):145-146, 2002. details

56. W. Banzhaf and W. B. Langdon. Some considerations on the reason for bloat. Genetic Programming and Evolvable Machines, 3(1):81-91, 2002. details

57. W. B. Langdon. Long Random Linear Programs Do Not Generalize. Genetic Programming and Evolvable Machines, 2(2):95-100, 2001. details

58. B. F. Buxton and W. B. Langdon and S. J. Barrett. Data Fusion by Intelligent Classifier Combination. Measurement and Control, 34(8):229-234, 2001. details

59. William B. Langdon. Genetic Programming and Evolvable Machines: Books and other Resources. Genetic Programming and Evolvable Machines, 1(1/2):165-169, 2000. details

60. W. B. Langdon. GECCO'99 Student Workshop. Robotica, 18(1):87, 2000. details

61. William B. Langdon. Size Fair and Homologous Tree Genetic Programming Crossovers. Genetic Programming and Evolvable Machines, 1(1/2):95-119, 2000. details

62. W. B. Langdon. Scaling of Program Tree Fitness Spaces. Evolutionary Computation, 7(4):399-428, 1999. details

63. W. B. Langdon. GECCO'99 Student Workshop. Newsletter BVNKI, 16(5):144-143, 1999. details

64. Riccardo Poli and William B. Langdon. Schema Theory for Genetic Programming with One-point Crossover and Point Mutation. Evolutionary Computation, 6(3):231-252, 1998. details

65. W. B. Langdon. GP97 Conference Report. Robotica, 16(1):117, 1998. details

66. W. B. Langdon and R. Poli. EvoGP Report Summary. EvoNews, 1998. details

67. W. B. Langdon. GP97 Conference Report. EvoNews, 1(5):4-5, 1997. details

Genetic Programming Books by William B Langdon

1. Riccardo Poli and William B. Langdon and Nicholas Freitag McPhee. A field guide to genetic programming. Published via \texttthttp://lulu.com and freely available at \texttthttp://www.gp-field-guide.org.uk, 2008. (With contributions by J. R. Koza). details

2. W. B. Langdon and Riccardo Poli. Foundations of Genetic Programming. Springer-Verlag, 2002. details

3. Lee Spector and W. B. Langdon and Una-May O'Reilly and Peter J. Angeline editors, Advances in Genetic Programming 3. MIT Press, Cambridge, MA, USA, 1999. details

4. William B. Langdon. Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming!. Kluwer, Boston, 1998. details

Genetic Programming PhD doctoral thesis William B Langdon

• W. B. Langdon. Data Structures and Genetic Programming. PhD thesis, University College, London, UK, 1996. details

Genetic Programming Conference proceedings edited by William B Langdon

1. Justyna Petke and Bobby R. Bruce and Yu Huang and Aymeric Blot and Westley Weimer and W. B. Langdon editors, 10th Genetic Improvement Workshop (GI 2021 @ ICSE) Chairs' Welcome. virtual event, IEEE, 2021. details

2. Justyna Petke and Shin Hwei Tan and William B. Langdon and Westley Weimer editors, Proceedings 2019 ACM/IEEE 6th International Genetic Improvement Workshop, GI 2019. Montreal, 2019. details

3. Justyna Petke and Kathryn Stolee and William B. Langdon and Westley Weimer editors, Proceedings 2018 ACM/IEEE 4th International Genetic Improvement Workshop, GI 2018. Gothenburg, Sweden, 2018. details

4. Markus Wagner and Julia Handl and Ryan Urbanowicz and Kuber Karthik and Danilo Vasconcellos Vargas and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and John R. Woodward and Daniel R. Tauritz and Manuel Lopez-Ibanez and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Dejan Tusar and Stephane Doncieux and Joshua Auerbach and Richard Duro and Harold de Vladar and Jose Santos and Amarda Shehu and Mostafa Ellabaan and Stefan Wagner and Michael Affenzeller and Frank Neumann and Markus Wagner and Paul Kaufmann and Oliver Kramer and P. G. M. Baltus and Giovanni Iacca and M. N. Andraud and Vanessa Volz and Boris Naujoks and Frank Moore and Gunes Kayacik and Nur Zincir-Heywood and Anna I Esparcia-Alcazar and Westley Weimer and Justyna Petke and David R. White and William B. Langdon and Nadarajen Veerapen and Fabio Daolio and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Giovanni Squillero and Alberto Tonda and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and John McCall and Dirk Thierens and William La Cava and Randal Olson and Patryk Orzechowski and Ernesto Tarantino and Ivanoe De Falco and Antonio Della Cioppa and Umberto Scafuri and Nicolas Bredeche and Evert Haasdijk and Abraham Prieto and Heiko Hamann and Jared Moore and Anthony Clark and David Walker and Richard Everson and Jonathan Fieldsend and Bogdan Filipic and Alma Rahat and Handing Wang and Yaochu Jin editors, GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Berlin, Germany, ACM, 2017. details

5. Gisele Pappa and Anabela Simoes and Dirk Sudholt and W. B. Langdon and David R. White and Justyna Petke and Frank W. Moore and Nur Zincir-Heywood and Jose Santos and Julia Handl and Amarda Shehu and David Walker and Richard Everson and Jonathan Fieldsend and Karthik Kuber and Masaya Nakata and Kamran Shafi and John Woodward and Daniel Tauritz and Manuel Lopez-Ibanez and Stefan Wagner and Michael Affenzeller and Youhei Akimoto and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Tea Tusar and Boris Naujoks and Abraham Prieto and Nicolas Bredeche and Evert Haasdijk and Chris Simons and Jerry Swan and Krzysztof Krawiec and Jim Smith and Colin Johnson and Alberto Moraglio and Michael O'Neill and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton editors, GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation. Madrid, Spain, 2015. details

6. Christian Igel and Dirk V. Arnold and Christian Gagne and Elena Popovici and Anne Auger and Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and Kalyanmoy Deb and Benjamin Doerr and James Foster and Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and Hitoshi Iba and Christian Jacob and Thomas Jansen and Yaochu Jin and Marouane Kessentini and Joshua D. Knowles and William B. Langdon and Pedro Larranaga and Sean Luke and Gabriel Luque and John A. W. McCall and Marco A. Montes de Oca and Alison Motsinger-Reif and Yew Soon Ong and Michael Palmer and Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and Guenther Ruhe and Tom Schaul and Thomas Schmickl and Bernhard Sendhoff and Kenneth O. Stanley and Thomas Stuetzle and Dirk Thierens and Julian Togelius and Carsten Witt and Christine Zarges editors, GECCO '14: Proceedings of the 2014 conference on Genetic and evolutionary computation. Vancouver, BC, Canada, 2014. details

7. Jaume Bacardit and Ivan Tanev and Joern Mehnen and Thomas Bartz-Beielstein and David Davis and Carlos Artemio Coello Coello and Dara Curran and Thomas Jansen and Daniele Loiacono and Albert Orriols-Puig and Ryan Urbanowicz and Simon Harding and W. B. Langdon and Man Leung Wong and Garnett Wilson and Tony Lewis and Stephen L. Smith and Stefano Cagnoni and Robert Patton and William Rand and Forrest Stonedahl and Gisele L. Pappa and Alex A. Freitas and Jerry Swan and John Woodward and Maria J. Blesa and Christian Blum and Steven Gustafson and Ekaterina Vladislavleva and Mark Hauschild and Martin Pelikan and Ender Ozcan and Andrew J. Parkes and Jonathan Rowe and Pascal Bouvry and Samee U. Khan and Gregoire Danoy and Alexandru-Adrian Tantar and Emilia Tantar and Bernabe Dorronsoro and Miguel Nicolau and Darrell Whitley editors, GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation. Dublin, Ireland, 2011. details

8. Anna I. Esparcia and Ying-ping Chen and Gabriela Ochoa and Ender Ozcan and Marc Schoenauer and Anne Auger and Hans-Georg Beyer and Nikolaus Hansen and Steffen Finck and Raymond Ros and Darrell Whitley and Garnett Wilson and Simon Harding and W. B. Langdon and Man Leung Wong and Laurence D. Merkle and Frank W. Moore and Sevan G. Ficici and William Rand and Rick Riolo and Nawwaf Kharma and William R. Buckley and Julian Miller and Kenneth Stanley and Jaume Bacardit and Will Browne and Jan Drugowitsch and Nicola Beume and Mike Preuss and Stephen L. Smith and Stefano Cagnoni and Jim DeLeo and Alexandru Floares and Aaron Baughman and Steven Gustafson and Maarten Keijzer and Arthur Kordon and Clare Bates Congdon and Laurence D. Merkle and Frank W. Moore editors, GECCO '09: Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference. Montreal, Qu\'ebec, Canada, ACM, 2009. details

9. W. B. Langdon and E. Cant\'u-Paz and K. Mathias and R. Roy and D. Davis and R. Poli and K. Balakrishnan and V. Honavar and G. Rudolph and J. Wegener and L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and E. Burke and N. Jonoska editors, GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference. New York, Morgan Kaufmann Publishers, 2002. details

10. Lee Spector and Erik D. Goodman and Annie Wu and W. B. Langdon and Hans-Michael Voigt and Mitsuo Gen and Sandip Sen and Marco Dorigo and Shahram Pezeshk and Max H. Garzon and Edmund Burke editors, Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2001. San Francisco, California, USA, Morgan Kaufmann, 2001. details

11. Julian Miller and Marco Tomassini and Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and William B. Langdon editors, Genetic Programming, Proceedings of EuroGP'2001. Volume 2038 of LNCS, Lake Como, Italy, Springer-Verlag, 2001. details

12. Riccardo Poli and Wolfgang Banzhaf and William B. Langdon and Julian F. Miller and Peter Nordin and Terence C. Fogarty editors, Genetic Programming, Proceedings of EuroGP'2000. Volume 1802 of LNCS, Edinburgh, Springer-Verlag, 2000. details

13. Riccardo Poli and Peter Nordin and William B. Langdon and Terence C. Fogarty editors, Genetic Programming, Proceedings of EuroGP'99. Volume 1598 of LNCS, Goteborg, Sweden, Springer-Verlag, 1999. details

14. W. B. Langdon and Riccardo Poli and Peter Nordin and Terry Fogarty editors, Late-Breaking Papers of EuroGP-99. Goteborg, Sweden, 1999. details

15. Thomas Haynes and William B. Langdon and Una-May O'Reilly and Riccardo Poli and Justinian Rosca editors, Foundations of Genetic Programming. Orlando, Florida, USA, 1999. details

16. Riccardo Poli and W. B. Langdon and Marc Schoenauer and Terry Fogarty and Wolfgang Banzhaf editors, Late Breaking Papers at EuroGP'98: the First European Workshop on Genetic Programming. Paris, France, 1998. details

Genetic Programming conference papers by William B Langdon

1. William B. Langdon and David Clark. Deep Mutations have Little Impact. In Gabin An and Aymeric Blot and Vesna Nowack and Oliver Krauss and Justyna Petke editors, 13th International Workshop on Genetic Improvement @ICSE 2024, pages 1-8, Lisbon, 2024. ACM. Best paper. details

2. William B. Langdon and David Clark. Genetic Improvement of Last Level Cache. In Mario Giacobini and Bing Xue and Luca Manzoni editors, EuroGP 2024: Proceedings of the 27th European Conference on Genetic Programming, volume 14631, pages 209-226, Aberystwyth, 2024. Springer Verlag. details

3. James Callan and William B. Langdon and Justyna Petke. On Reducing Network Usage with Genetic Improvement. In Gabin An and Aymeric Blot and Vesna Nowack and Oliver Krauss and Justyna Petke editors, 13th International Workshop on Genetic Improvement @ICSE 2024, pages 23-30, Lisbon, 2024. ACM. details

4. W. B. Langdon and Daniel Hulme. Sustaining Evolution for Shallow Embodied Intelligence. In Proceedings of 2024 International Conference on Embodied Intelligence, EI-2024, Internet, Cambridge, UK, 2024. forthcoming. details

5. William B. Langdon and Bradley J. Alexander. Genetic Improvement of OLC and H3 with Magpie. In Vesna Nowack and Markus Wagner and Gabin An and Aymeric Blot and Justyna Petke editors, 12th International Workshop on Genetic Improvement @ICSE 2023, pages 9-16, Melbourne, Australia, 2023. IEEE. details

6. William B. Langdon and Justyna Petke and Aymeric Blot and David Clark. Genetically Improved Software with fewer Data Caches Misses. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the Companion Conference on Genetic and Evolutionary Computation, pages 799-802, Lisbon, Portugal, 2023. Association for Computing Machinery. details

7. William B. Langdon and Afnan Al-Subaihin and Aymeric Blot and David Clark. Genetic Improvement of LLVM Intermediate Representation. In Gisele Pappa and Mario Giacobini and Zdenek Vasicek editors, EuroGP 2023: Proceedings of the 26th European Conference on Genetic Programming, volume 13986, pages 244-259, Brno, Czech Republic, 2023. Springer Verlag. details

8. William B. Langdon. Genetic Programming Convergence [Hot of the Press]. In Marcus Gallagher editor, GECCO 2022 Hot off the Press, pages 27-28, Boston, USA, 2022. Association for Computing Machinery. details

9. William B. Langdon and Wolfgang Banzhaf. Long-Term Evolution Experiment with Genetic Programming [Hot of the Press]. In Marcus Gallagher editor, Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 29-30, Boston, USA, 2022. Association for Computing Machinery. details

10. William B. Langdon. Failed Disruption Propagation in Integer Genetic Programming. In Heike Trautmann and Carola Doerr and Alberto Moraglio and Thomas Bartz-Beielstein and Bogdan Filipic and Marcus Gallagher and Yew-Soon Ong and Abhishek Gupta and Anna V Kononova and Hao Wang and Michael Emmerich and Peter A. N. Bosman and Daniela Zaharie and Fabio Caraffini and Johann Dreo and Anne Auger and Konstantin Dietric and Paul Dufosse and Tobias Glasmachers and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Tea Tusar and Dimo Brockhoff and Tome Eftimov and Pascal Kerschke and Boris Naujoks and Mike Preuss and Vanessa Volz and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Mark Coletti and Catherine (Katie) Schuman and Eric Scott and Robert Patton and Paul Wiegand and Jeffrey K. Bassett and Chathika Gunaratne and Tinkle Chugh and Richard Allmendinger and Jussi Hakanen and Daniel Tauritz and John Woodward and Manuel Lopez-Ibanez and John McCall and Jaume Bacardit and Alexander Brownlee and Stefano Cagnoni and Giovanni Iacca and David Walker and Jamal Toutouh and UnaMay O'Reilly and Penousal Machado and Joao Correia and Sergio Nesmachnow and Josu Ceberio and Rafael Villanueva and Ignacio Hidalgo and Francisco Fernandez de Vega and Giuseppe Paolo and Alex Coninx and Antoine Cully and Adam Gaier and Stefan Wagner and Michael Affenzeller and Bobby R. Bruce and Vesna Nowack and Aymeric Blot and Emily Winter and William B. Langdon and Justyna Petke and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Paetzel and Alexander Wagner and Michael Heider and Nadarajen Veerapen and Katherine Malan and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Mohammad Nabi Omidvar and Yuan Sun and Ernesto Tarantino and De Falco Ivanoe and Antonio Della Cioppa and Scafuri Umberto and John Rieffel and Jean-Baptiste Mouret and Stephane Doncieux and Stefanos Nikolaidis and Julian Togelius and Matthew C. Fontaine and Serban Georgescu and Francisco Chicano and Darrell Whitley and Oleksandr Kyriienko and Denny Dahl and Ofer Shir and Lee Spector and Alma Rahat and Richard Everson and Jonathan Fieldsend and Handing Wang and Yaochu Jin and Erik Hemberg and Marwa A. Elsayed and Michael Kommenda and William La Cava and Gabriel Kronberger and Steven Gustafson editors, Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 574-577, Boston, USA, 2022. Association for Computing Machinery. details

11. William B. Langdon and Afnan Al-Subaihin and David Clark. Measuring Failed Disruption Propagation in Genetic Programming. In Alma Rahat and Jonathan Fieldsend and Markus Wagner and Sara Tari and Nelishia Pillay and Irene Moser and Aldeida Aleti and Ales Zamuda and Ahmed Kheiri and Erik Hemberg and Christopher Cleghorn and Chao-li Sun and Georgios Yannakakis and Nicolas Bredeche and Gabriela Ochoa and Bilel Derbel and Gisele L. Pappa and Sebastian Risi and Laetitia Jourdan and Hiroyuki Sato and Petr Posik and Ofer Shir and Renato Tinos and John Woodward and Malcolm Heywood and Elizabeth Wanner and Leonardo Trujillo and Domagoj Jakobovic and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Inmaculada Medina-Bulo and Slim Bechikh and Andrew M. Sutton and Pietro Simone Oliveto editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference, pages 964-972, Boston, USA, 2022. Association for Computing Machinery. details

12. W. B. Langdon. Open to Evolve Embodied Intelligence. In Fumiya Iida and Josie Hughes and Arsen Abdulali and Ryman Hashem editors, Proceedings of 2022 International Conference on Embodied Intelligence, EI-2022, volume 1292, page 012021, Internet, Cambridge, 2022. IOP Publishing. details

13. William B. Langdon. Incremental Evaluation in Genetic Programming. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2021: Proceedings of the 24th European Conference on Genetic Programming, volume 12691, pages 229-246, Virtual Event, 2021. Springer Verlag. details

14. William B. Langdon and Oliver Krauss. Genetic Improvement of Data for Maths Functions*. In Carola Doerr editor, Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, pages 31-32, Internet, 2021. ACM. details

15. William B. Langdon and Justyna Petke and David Clark. Dissipative Polynomials. In Nadarajen Veerapen and Katherine Malan and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa editors, 5th Workshop on Landscape-Aware Heuristic Search, pages 1683-1691, Internet, 2021. ACM. details

16. William B. Langdon. Fitness First. In Wolfgang Banzhaf and Leonardo Trujillo and Stephan Winkler and Bill Worzel editors, Genetic Programming Theory and Practice XVIII, pages 143-164, East Lansing, MI, USA, 2021. Springer. details

17. William B. Langdon. Fitness First and Fatherless Crossover. In Francisco Chicano and Alberto Tonda and Krzysztof Krawiec and Marde Helbig and Christopher W. Cleghorn and Dennis G. Wilson and Georgios Yannakakis and Luis Paquete and Gabriela Ochoa and Jaume Bacardit and Christian Gagne and Sanaz Mostaghim and Laetitia Jourdan and Oliver Schuetze and Petr Posik and Carlos Segura and Renato Tinos and Carlos Cotta and Malcolm Heywood and Mengjie Zhang and Leonardo Trujillo and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Fuyuki Ishikawa and Inmaculada Medina-Bulo and Frank Neumann and Andrew M. Sutton editors, Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 253-254, Internet, 2021. Association for Computing Machinery. details

18. W. B. Langdon. Genetic Improvement of Genetic Programming. In Alexander (Sandy) Brownlee and Saemundur O. Haraldsson and Justyna Petke and John R. Woodward editors, GI @ CEC 2020 Special Session, page paper id24061, internet, 2020. IEEE Press. details

19. William B. Langdon and Oliver Krauss. Evolving sqrt into 1/x via Software Data Maintenance. In Brad Alexander and Alexander (Sandy) Brownlee and Saemundur O. Haraldsson and Markus Wagner and John R. Woodward editors, 9th edition of GI @ GECCO 2020, pages 1928-1936, Internet, 2020. ACM. details

20. Oliver Krauss and W. B. Langdon. Automatically Evolving Lookup Tables for Function Approximation. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming, volume 12101, pages 84-100, Seville, Spain, 2020. Springer Verlag. details

21. W. B. Langdon and Justyna Petke. Genetic Improvement of Data gives Binary Logarithm from sqrt. In Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 413-414, Prague, Czech Republic, 2019. ACM. details

22. W. B. Langdon. Parallel GPQUICK. In Carola Doerr editor, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 63-64, Prague, Czech Republic, 2019. ACM. details

23. W. B. Langdon. Genetic Improvement of Data gives double precision invsqrt. In Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and John R. Woodward editors, 7th edition of GI @ GECCO 2019, pages 1709-1714, Prague, Czech Republic, 2019. ACM. details

24. William B. Langdon and Ronny Lorenz. Evolving AVX512 Parallel C Code using GP. In Lukas Sekanina and Ting Hu and Nuno Lourenco editors, EuroGP 2019: Proceedings of the 22nd European Conference on Genetic Programming, volume 11451, pages 245-261, Leipzig, Germany, 2019. Springer Verlag. details

25. William B. Langdon and Wolfgang Banzhaf. Continuous Long-Term Evolution of Genetic Programming. In Rudolf Fuechslin editor, Conference on Artificial Life (ALIFE 2019), pages 388-395, Newcastle, 2019. MIT Press. details

26. William B. Langdon and Justyna Petke and Ronny Lorenz. Evolving better RNAfold structure prediction. In Mauro Castelli and Lukas Sekanina and Mengjie Zhang editors, EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming, volume 10781, pages 220-236, Parma, Italy, 2018. Springer Verlag. details

27. William B. Langdon and Justyna Petke. Evolving Better Software Parameters. In Thelma Elita Colanzi and Phil McMinn editors, SSBSE 2018 Hot off the Press Track, volume 11036, pages 363-369, Montpellier, France, 2018. Springer. details

28. William B. Langdon. Long-Term Stability of Genetic Programming Landscapes. In Nadarajen Veerapen and Fabio Daolio and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa editors, GECCO 2017 Workshop on Landscape-Aware Heuristic Search, Berlin, 2017. No paper, presentation only. details

29. William B. Langdon and Nadarajen Veerapen and Gabriela Ochoa. Visualising the Search Landscape of the Triangle Program. In Mauro Castelli and James McDermott and Lukas Sekanina editors, EuroGP 2017, volume 10196, pages 96-113, Amsterdam, 2017. Springer. details

30. William B. Langdon and Karina Zile. Genetic Improvement of Computational Biology Software. In Jose Santos and Julia Handl and Amarda Shehu and Mostafa Ellabaan editors, Evolutionary Computation in Computational Biology, pages 1657-1660, Berlin, 2017. details

31. William B. Langdon and Ronny Lorenz. Improving SSE Parallel Code with Grow and Graft Genetic Programming. In Justyna Petke and David R. White and W. B. Langdon and Westley Weimer editors, GI-2017, pages 1537-1538, Berlin, 2017. ACM. details

32. William B. Langdon. Long-Term Evolution of Genetic Programming Populations. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 235-236, Berlin, 2017. ACM. details

33. William B. Langdon and Gabriela Ochoa. Genetic Improvement: A Key Challenge for Evolutionary Computation. In Yun Li editor, Key Challenges and Future Directions of Evolutionary Computation, pages 3068-3075, Vancouver, 2016. IEEE. details

34. William B. Langdon and Mark Harman. Fitness Landscape of the Triangle Program. In Nadarajen Veerapen and Gabriela Ochoa editors, PPSN-2016 Workshop on Landscape-Aware Heuristic Search, Edinburgh, 2016. Also available as UCL RN/16/05. details

35. William B. Langdon and Albert Vilella and Brian Yee Hong Lam and Justyna Petke and Mark Harman. Benchmarking Genetically Improved BarraCUDA on Epigenetic Methylation NGS datasets and nVidia GPUs. In Justyna Petke and Westley Weimer and David R. White editors, Genetic Improvement 2016 Workshop, pages 1131-1132, Denver, 2016. ACM. details

36. William B. Langdon and David R. White and Mark Harman and Yue Jia and Justyna Petke. API-Constrained Genetic Improvement. In Federica Sarro and Kalyanmoy Deb editors, Proceedings of the 8th International Symposium on Search Based Software Engineering, SSBSE 2016, volume 9962, pages 224-230, Raleigh, North Carolina, USA, 2016. Springer. details

37. William B. Langdon. Kin Selection with Twin Genetic Programming. In Julia Handl and Emma Hart and Peter R. Lewis and Manuel Lopez-Ibanez and Gabriela Ochoa and Ben Paechter editors, 14th International Conference on Parallel Problem Solving from Nature, volume 9921, pages 313-323, Edinburgh, 2016. Springer. details

38. William B. Langdon and Justyna Petke and Bobby R. Bruce. Optimising Quantisation Noise in Energy Measurement. In Julia Handl and Emma Hart and Peter R. Lewis and Manuel Lopez-Ibanez and Gabriela Ochoa and Ben Paechter editors, 14th International Conference on Parallel Problem Solving from Nature, volume 9921, pages 249-259, Edinburgh, 2016. Springer. details

39. William B. Langdon and Mark Harman. Grow and Graft a better CUDA pknotsRG for RNA pseudoknot free energy calculation. In William B. Langdon and Justyna Petke and David R. White editors, Genetic Improvement 2015 Workshop, pages 805-810, Madrid, 2015. ACM. details

40. William B. Langdon and Justyna Petke and David R. White. Genetic Improvement 2015 Chairs' Welcome. In William B. Langdon and Justyna Petke and David R. White editors, Genetic Improvement 2015 Workshop, pages 791-792, Madrid, 2015. ACM. details

41. William B. Langdon and Justyna Petke. Software is Not Fragile. In Pierre Parrend and Paul Bourgine and Pierre Collet editors, Complex Systems Digital Campus E-conference, CS-DC'15, pages 203-211, 2015. Springer. Invited talk. details

42. Yue Jia and Mark Harman and William B. Langdon and Alexandru Marginean. Grow and Serve: Growing Django Citation Services Using SBSE. In Shin Yoo and Leandro Minku editors, SSBSE 2015 Challenge Track, volume 9275, pages 269-275, Bergamo, Italy, 2015. Springer. details

43. W. B. Langdon. Genetic Improvement of Software for Multiple Objectives. In Yvan Labiche and Marcio Barros editors, SSBSE, volume 9275, pages 12-28, Bergamo, Italy, 2015. Springer. Invited keynote. details

44. William B. Langdon and Brian Yee Hong Lam and Justyna Petke and Mark Harman. Improving CUDA DNA Analysis Software with Genetic Programming. In Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco Fernandez de Vega and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr editors, GECCO '15: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 1063-1070, Madrid, 2015. ACM. details

45. William B. Langdon. Genetic Improvement of Programs. In Franz Winkler and Viorel Negru and Tetsuo Ida and Tudor Jebelean and Dana Petcu and Stephen Watt and Daniela Zaharie editors, 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2014), pages 14-19, Timisoara, 2014. IEEE. Keynote. details

46. William B. Langdon and Mark Harman. Genetically Improved CUDA C++ Software. In Miguel Nicolau and Krzysztof Krawiec and Malcolm I. Heywood and Mauro Castelli and Pablo Garcia-Sanchez and Juan J. Merelo and Victor M. Rivas Santos and Kevin Sim editors, 17th European Conference on Genetic Programming, volume 8599, pages 87-99, Granada, Spain, 2014. Springer. details

47. Justyna Petke and Mark Harman and William B. Langdon and Westley Weimer. Using Genetic Improvement and Code Transplants to Specialise a C++ Program to a Problem Class. In Miguel Nicolau and Krzysztof Krawiec and Malcolm I. Heywood and Mauro Castelli and Pablo Garcia-Sanchez and Juan J. Merelo and Victor M. Rivas Santos and Kevin Sim editors, 17th European Conference on Genetic Programming, volume 8599, pages 137-149, Granada, Spain, 2014. Springer. details

48. William B. Langdon and Mark Harman. Improving Source Code with Genetic Programming. In Christian Igel and Dirk Arnold editors, GECCO 2014 Hot of the Press, Vancouver, Canada, 2014. ACM. details

49. William B. Langdon and Marc Modat and Justyna Petke and Mark Harman. Improving 3D Medical Image Registration CUDA Software with Genetic Programming. In Christian Igel and Dirk V. Arnold and Christian Gagne and Elena Popovici and Anne Auger and Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and Kalyanmoy Deb and Benjamin Doerr and James Foster and Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and Hitoshi Iba and Christian Jacob and Thomas Jansen and Yaochu Jin and Marouane Kessentini and Joshua D. Knowles and William B. Langdon and Pedro Larranaga and Sean Luke and Gabriel Luque and John A. W. McCall and Marco A. Montes de Oca and Alison Motsinger-Reif and Yew Soon Ong and Michael Palmer and Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and Guenther Ruhe and Tom Schaul and Thomas Schmickl and Bernhard Sendhoff and Kenneth O. Stanley and Thomas Stuetzle and Dirk Thierens and Julian Togelius and Carsten Witt and Christine Zarges editors, GECCO '14: Proceeding of the sixteenth annual conference on genetic and evolutionary computation conference, pages 951-958, Vancouver, BC, Canada, 2014. ACM. details

50. Mark Harman and Yue Jia and William B. Langdon and Justyna Petke and Iman Hemati Moghadam and Shin Yoo and Fan Wu. Genetic Improvement for Adaptive Software Engineering. In Gregor Engels editor, 9th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS'14), pages 1-4, Hyderabad, India, 2014. ACM. Keynote. details

51. Mark Harman and Yue Jia and Jens Krinke and W. B. Langdon and Justyna Petke and Yuanyuan Zhang. Search based software engineering for software product line engineering: a survey and directions for future work. In 18th International Software Product Line, SPLC 2014, pages 5-18, Florence, Italy, 2014. Invited keynote. details

52. Mark Harman and Yue Jia and William B. Langdon. Babel Pidgin: SBSE Can Grow and Graft Entirely New Functionality into a Real World System. In Claire Le Goues and Shin Yoo editors, Proceedings of the 6th International Symposium, on Search-Based Software Engineering, SSBSE 2014, volume 8636, pages 247-252, Fortaleza, Brazil, 2014. Springer. Winner SSBSE 2014 Challange Track. details

53. Justyna Petke and William B. Langdon and Mark Harman. Applying Genetic Improvement to MiniSAT. In Guenther Ruhe and Yuanyuan Zhang editors, Symposium on Search-Based Software Engineering, volume 8084, pages 257-262, Leningrad, 2013. Springer. Short Papers. details

54. W. B. Langdon. Which is faster: Bowtie2GP $>$ Bowtie $>$ Bowtie2 $>$ BWA. In Francisco Luna editor, GECCO 2013 Late breaking abstracts workshop, pages 1741-1742, Amsterdam, The Netherlands, 2013. ACM. details

55. Yue Jia and Mark Harman and Bill Langdon. The GISMOE Architecture. In Yan Hu and Xiaochen Lai and Zhilei Ren and Jifeng Xuan editors, 2nd Chinese Search Based Software Engineering workshop, Dalian, China, 2013. Invited keynote. details

56. Mark Harman and William B. Langdon and Westley Weimer. Genetic Programming for Reverse Engineering. In Rocco Oliveto and Romain Robbes editors, 20th Working Conference on Reverse Engineering (WCRE 2013), pages 1-10, Koblenz, Germany, 2013. IEEE. Invited Keynote. details

57. W. B. Langdon. Genetic Improvement of Programs. In Radomil Matousek editor, 18th International Conference on Soft Computing, MENDEL 2012, Brno, Czech Republic, 2012. Brno University of Technology. Invited keynote. details

58. Mark Harman and William B. Langdon and Yue Jia and David R. White and Andrea Arcuri and John A. Clark. The GISMOE challenge: Constructing the Pareto Program Surface Using Genetic Programming to Find Better Programs. In The 27th IEEE/ACM International Conference on Automated Software Engineering (ASE 12), pages 1-14, Essen, Germany, 2012. ACM. keynote paper. details

59. William B. Langdon. Generalisation in Genetic Programming. In Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors, GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, page 205, Dublin, Ireland, 2011. ACM. details

60. W. B. Langdon. Elementary Bit String Mutation Landscapes. In Hans-Georg Beyer and W. B. Langdon editors, Foundations of Genetic Algorithms, pages 25-41, Schwarzenberg, Austria, 2011. ACM. details

61. W. B. Langdon. A Many Threaded CUDA Interpreter for Genetic Programming. In Anna Isabel Esparcia-Alcazar and Aniko Ekart and Sara Silva and Stephen Dignum and A. Sima Uyar editors, Proceedings of the 13th European Conference on Genetic Programming, EuroGP 2010, volume 6021, pages 146-158, Istanbul, 2010. Springer. details

62. W. B. Langdon and M. Harman. Evolving a CUDA Kernel from an nVidia Template. In Pilar Sobrevilla editor, 2010 IEEE World Congress on Computational Intelligence, pages 2376-2383, Barcelona, 2010. IEEE. details

63. Mark Harman and Yue Jia and William B. Langdon. A Manifesto for Higher Order Mutation Testing. In Lydie du Bousquet and Jeremy Bradbury and Gordon Fraser editors, Mutation 2010, pages 80-89, Paris, 2010. IEEE Computer Society. Keynote. details

64. W. B. Langdon and Mark Harman and Yue Jia. Multi Objective Higher Order Mutation Testing with GP. In Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors, GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, page 1945, Montreal, 2009. ACM. details

65. William B. Langdon and J. Rowsell and A. P. Harrison. Creating Regular Expressions as mRNA Motifs with GP to Predict Human Exon Splitting. In Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors, GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 1789-1790, Montreal, 2009. ACM. details

66. William B. Langdon and Mark Harman and Yue Jia. Multi Objective Mutation Testing with Genetic Programming. In Leonardo Bottaci and Gregory Kapfhammer and Neil Walkinshaw editors, TAIC-PART, pages 21-29, Windsor, UK, 2009. IEEE. details

67. William B. Langdon and Wolfgang Banzhaf. A SIMD Interpreter for Genetic Programming on GPU Graphics Cards. In Michael O'Neill and Leonardo Vanneschi and Steven Gustafson and Anna Isabel Esparcia Alcazar and Ivanoe De Falco and Antonio Della Cioppa and Ernesto Tarantino editors, Proceedings of the 11th European Conference on Genetic Programming, EuroGP 2008, volume 4971, pages 73-85, Naples, 2008. Springer. details

68. W. B. Langdon and A. P. Harrison. Evolving Regular Expressions for GeneChip Probe Performance Prediction. In Gunter Rudolph and Thomas Jansen and Simon Lucas and Carlo Poloni and Nicola Beume editors, Parallel Problem Solving from Nature - PPSN X, volume 5199, pages 1061-1070, Dortmund, 2008. Springer. details

69. W. B. Langdon. Evolving GeneChip Correlation Predictors on Parallel Graphics Hardware. In Jun Wang editor, 2008 IEEE World Congress on Computational Intelligence, pages 4152-4157, Hong Kong, 2008. IEEE Press. details

70. Riccardo Poli and William B. Langdon and Stephen Dignum. On the Limiting Distribution of Program Sizes in Tree-based Genetic Programming. In Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar editors, Proceedings of the 10th European Conference on Genetic Programming, volume 4445, pages 193-204, Valencia, Spain, 2007. Springer. Best paper award. details

71. Leslie Luthi and Marco Tomassini and Mario Giacobini and William B. Langdon. The Genetic Programming Collaboration Network and its Communities. In Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann and Martin Pelikan and Riccardo Poli and Kumara Sastry and Kenneth Owen Stanley and Thomas Stutzle and Richard A Watson and Ingo Wegener editors, GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, volume 2, pages 1643-1650, London, 2007. ACM Press. details

72. R. Poli and A. H. Wright and N. F. McPhee and W. B. Langdon. Emergent Behaviour, Population-based Search and Low-pass Filtering. In 2006 IEEE World Congress on Computational Intelligence, 2006 IEEE Congress on Evolutionary Computation, pages 395-402, Vancouver, 2006. details

73. William B. Langdon and Riccardo Poli. On Turing complete T7 and MISC F--4 program fitness landscapes. In Dirk V. Arnold and Thomas Jansen and Michael D. Vose and Jonathan E. Rowe editors, Theory of Evolutionary Algorithms, Dagstuhl, Germany, 2006. Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany. $<$http://drops.dagstuhl.de/opus/volltexte/2006/595$>$ [date of citation: 2006-01-01]. details

74. W. B. Langdon and R. Poli. The Halting Probability in von~Neumann Architectures. In Pierre Collet and Marco Tomassini and Marc Ebner and Steven Gustafson and Anik\'o Ek\'art editors, Proceedings of the 9th European Conference on Genetic Programming, volume 3905, pages 225-237, Budapest, Hungary, 2006. Springer. details

75. W. B. Langdon. Mapping Non-conventional Extensions of Genetic Programming. In Cristian S. Calude and Michael J. Dinneen and Gheorghe Paun and Grzegorz Rozenberg and Susan Stepney editors, Unconventional Computing 2006, volume 4135, pages 166-180, York, 2006. Springer-Verlag. details

76. William B. Langdon and Riccardo Poli. Finding Social Landscapes for PSOs via Kernels. In Gary G. Yen and Lipo Wang and Piero Bonissone and Simon M. Lucas editors, Proceedings of the 2006 IEEE Congress on Evolutionary Computation, pages 6118-6125, Vancouver, 2006. IEEE Press. details

77. S. J. Barrett and W. B. Langdon. Advances in the Application of Machine Learning Techniques in Drug Discovery, Design and Development. In Ashutosh Tiwari and Joshua Knowles and Erel Avineri and Keshav Dahal and Rajkumar Roy editors, Applications of Soft Computing: Recent Trends, volume 36, pages 99-110, On the World Wide Web, 2006. Springer. details

78. Riccardo Poli and William B. Langdon. Backward-chaining genetic programming. In Hans-Georg Beyer and Una-May O'Reilly and Dirk V. Arnold and Wolfgang Banzhaf and Christian Blum and Eric W. Bonabeau and Erick Cantu-Paz and Dipankar Dasgupta and Kalyanmoy Deb and James A. Foster and Edwin D. de Jong and Hod Lipson and Xavier Llora and Spiros Mancoridis and Martin Pelikan and Guenther R. Raidl and Terence Soule and Andy M. Tyrrell and Jean-Paul Watson and Eckart Zitzler editors, GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, volume 2, pages 1777-1778, Washington DC, USA, 2005. ACM Press. details

79. Riccardo Poli and William B. Langdon and Owen Holland. Extending Particle Swarm Optimisation via Genetic Programming. In Maarten Keijzer and Andrea Tettamanzi and Pierre Collet and Jano I. van Hemert and Marco Tomassini editors, Proceedings of the 8th European Conference on Genetic Programming, volume 3447, pages 291-300, Lausanne, Switzerland, 2005. Springer. details

80. W. B. Langdon. Pfeiffer -- A Distributed Open-ended Evolutionary System. In Bruce Edmonds and Nigel Gilbert and Steven Gustafson and David Hales and Natalio Krasnogor editors, AISB'05: Proceedings of the Joint Symposium on Socially Inspired Computing (METAS 2005), pages 7-13, University of Hertfordshire, Hatfield, UK, 2005. SSAISB 2005 Convention. details

81. William B. Langdon and Wolfgang Banzhaf. Repeated Patterns in Tree Genetic Programming. In Maarten Keijzer and Andrea Tettamanzi and Pierre Collet and Jano I. van Hemert and Marco Tomassini editors, Proceedings of the 8th European Conference on Genetic Programming, volume 3447, pages 190-202, Lausanne, Switzerland, 2005. Springer. details

82. W. B. Langdon. The Distribution of Amorphous Computer Outputs. In Susan Stepney and Stephen Emmott editors, The Grand Challenge in Non-Classical Computation: International Workshop, York, UK, 2005. details

83. W. B. Langdon and Riccardo Poli and Owen Holland and Thiemo Krink. Understanding Particle Swarm Optimisation by Evolving Problem Landscapes. In Luca Maria Gambardella and Payman Arabshahi and Alcherio Martinoli editors, Proceedings SIS 2005 IEEE Swarm Intelligence, pages 30-37, Pasadena, California, USA, 2005. IEEE. details

84. W. B. Langdon. Evolving Benchmarks. In Katja Verbeeck and Karl Tuyls and Ann Nowe and Bernard Manderick and Bart Kuijpers editors, Proceedings of the Seventeenth Belgium/Netherlands Conference on Artificial Intelligence (BNAIC 2005), pages 365-366, Koninklijke Vlaamse Academie van Belgie voor Wetenschappen en Kunsten, Brussel, Belgium, 2005. Royal Flemish Academy of Belgium for Science and Arts, KVAB. details

85. William B. Langdon and Riccardo Poli. Evolving Problems to Learn about Particle Swarm and other Optimisers. In David Corne and Zbigniew Michalewicz and Marco Dorigo and Gusz Eiben and David Fogel and Carlos Fonseca and Garrison Greenwood and Tan Kay Chen and Guenther Raidl and Ali Zalzala and Simon Lucas and Ben Paechter and Jennifier Willies and Juan J. Merelo Guervos and Eugene Eberbach and Bob McKay and Alastair Channon and Ashutosh Tiwari and L. Gwenn Volkert and Dan Ashlock and Marc Schoenauer editors, Proceedings of the 2005 IEEE Congress on Evolutionary Computation, volume 1, pages 81-88, Edinburgh, UK, 2005. IEEE Press. details

86. William B. Langdon and Riccardo Poli. Evolutionary Solo Pong Players. In David Corne and Zbigniew Michalewicz and Marco Dorigo and Gusz Eiben and David Fogel and Carlos Fonseca and Garrison Greenwood and Tan Kay Chen and Guenther Raidl and Ali Zalzala and Simon Lucas and Ben Paechter and Jennifier Willies and Juan J. Merelo Guervos and Eugene Eberbach and Bob McKay and Alastair Channon and Ashutosh Tiwari and L. Gwenn Volkert and Dan Ashlock and Marc Schoenauer editors, Proceedings of the 2005 IEEE Congress on Evolutionary Computation, volume 3, pages 2621-2628, Edinburgh, UK, 2005. IEEE Press. details

87. Riccardo Poli and Cecilia Di Chio and William B. Langdon. Exploring extended particle swarms: a genetic programming approach. In Hans-Georg Beyer and Una-May O'Reilly and Dirk V. Arnold and Wolfgang Banzhaf and Christian Blum and Eric W. Bonabeau and Erick Cantu-Paz and Dipankar Dasgupta and Kalyanmoy Deb and James A. Foster and Edwin D. de Jong and Hod Lipson and Xavier Llora and Spiros Mancoridis and Martin Pelikan and Guenther R. Raidl and Terence Soule and Andy M. Tyrrell and Jean-Paul Watson and Eckart Zitzler editors, GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, volume 1, pages 169-176, Washington DC, USA, 2005. ACM Press. details

88. Cecilia Di Chio and Riccardo Poli and William B. Langdon. Evolution of Force-Generating Equations for PSO using GP. In Sara Manzoni and Matteo Palmonari and Fabio Sartori editors, AI*IA Workshop on Evolutionary Computation, Evoluzionistico GSICE05, University of Milan Bicocca, Italy, 2005. details

89. W. B. Langdon and W. Banzhaf. Repeated Sequences in Linear GP Genomes. In Maarten Keijzer editor, Late Breaking Papers at the 2004 Genetic and Evolutionary Computation Conference, Seattle, Washington, USA, 2004. AAAI. details

90. W. B. Langdon. Global Distributed Evolution of L-Systems Fractals. In Maarten Keijzer and Una-May O'Reilly and Simon M. Lucas and Ernesto Costa and Terence Soule editors, Genetic Programming, Proceedings of EuroGP'2004, volume 3003, pages 349-358, Coimbra, Portugal, 2004. Springer-Verlag. details

91. W. B. Langdon. Convergence of Program Fitness Landscapes. In E. Cant\'u-Paz and J. A. Foster and K. Deb and D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and R. Standish and G. Kendall and S. Wilson and M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and A. C. Schultz and K. Dowsland and N. Jonoska and J. Miller editors, Genetic and Evolutionary Computation -- GECCO-2003, volume 2724, pages 1702-1714, Chicago, 2003. Springer-Verlag. details

92. W. B. Langdon and S. J. Barrett and B. F. Buxton. Comparison of AdaBoost and Genetic Programming for combining Neural Networks for Drug Discovery. In G\"unther R. Raidl and Stefano Cagnoni and Juan Jes\'us Romero Cardalda and David W. Corne and Jens Gottlieb and Agn\`es Guillot and Emma Hart and Colin G. Johnson and Elena Marchiori and Jean-Arcady Meyer and Martin Middendorf editors, Applications of Evolutionary Computing, EvoWorkshops2003: EvoBIO, EvoCOP, EvoIASP, EvoMUSART, EvoROB, EvoSTIM, volume 2611, pages 87-98, University of Essex, UK, 2003. Springer-Verlag. details

93. W. B. Langdon and S. J. Barrett and B. F. Buxton. Predicting Biochemical Interactions -- Human P450 2D6 Enzyme Inhibition. In Ruhul Sarker and Robert Reynolds and Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and Tom Gedeon editors, Proceedings of the 2003 Congress on Evolutionary Computation CEC2003, pages 807-814, Canberra, 2003. IEEE Press. details

94. W. B. Langdon. Random Search is Parsimonious. In Erick Cant\'u-Paz editor, Late Breaking Papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), pages 308-315, New York, NY, 2002. AAAI. details

95. W. B. Langdon. How many Good Programs are there? How Long are they?. In Kenneth A. De Jong and Riccardo Poli and Jonathan E. Rowe editors, Foundations of Genetic Algorithms VII, pages 183-202, Torremolinos, Spain, 2002. Morgan Kaufmann. Published 2003. details

96. W. B. Langdon. Size of Random Programs to ensure Uniformity. In Hendrik Blockeel and Marc Denecker editors, Proceedings of the Fourteenth Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'02), pages 459-460, Leuven, Belgium, 2002. details

97. W. B. Langdon. Convergence Rates for the Distribution of Program Outputs. In W. B. Langdon and E. Cant\'u-Paz and K. Mathias and R. Roy and D. Davis and R. Poli and K. Balakrishnan and V. Honavar and G. Rudolph and J. Wegener and L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and E. Burke and N. Jonoska editors, GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, pages 812-819, New York, 2002. Morgan Kaufmann Publishers. details

98. William B. Langdon and S. J. Barrett and B. F. Buxton. Combining Decision Trees and Neural Networks for Drug Discovery. In James A. Foster and Evelyne Lutton and Julian Miller and Conor Ryan and Andrea G. B. Tettamanzi editors, Genetic Programming, Proceedings of the 5th European Conference, EuroGP 2002, volume 2278, pages 60-70, Kinsale, Ireland, 2002. Springer-Verlag. details

99. William B. Langdon. A Hybrid Genetic Programming Neural Network Classifier for Use in Drug Discovery. In Ajith Abraham and Javier Ruiz-del-Solar and Mario K\"oppen editors, Soft Computing Systems - Design, Management and Applications, page 6, Universidad de Chile, Chile, 2002. IOS Press Amsterdam, Berlin, Oxford, Tokyo, Washington D.C.. Invited conference speaker. details

100. A. Loizides and M. Slater and W. B. Langdon. Measuring Facial Emotional Expressions Using Genetic Programming. In Rajkumar Roy and Mario K\"oppen and Seppo Ovaska and Takeshi Furuhashi and Frank Hoffmann editors, Soft Computing and Industry Recent Applications, pages 545-554, 2001. Springer-Verlag. Published 2002. details

101. W. B. Langdon and S. J. Barrett and B. F. Buxton. Genetic Programming for Combining Neural Networks for Drug Discovery. In Rajkumar Roy and Mario K\"oppen and Seppo Ovaska and Takeshi Furuhashi and Frank Hoffmann editors, Soft Computing and Industry Recent Applications, pages 597-608, 2001. Springer-Verlag. Published 2002. details

102. W. B. Langdon and B. F. Buxton. Genetic Programming for Improved Receiver Operating Characteristics. In Josef Kittler and Fabio Roli editors, Second International Conference on Multiple Classifier System, volume 2096, pages 68-77, Cambridge, 2001. Springer Verlag. details

103. W. B. Langdon and B. F. Buxton. Genetic Programming for Combining Classifiers. In Lee Spector and Erik D. Goodman and Annie Wu and W. B. Langdon and Hans-Michael Voigt and Mitsuo Gen and Sandip Sen and Marco Dorigo and Shahram Pezeshk and Max H. Garzon and Edmund Burke editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pages 66-73, San Francisco, California, USA, 2001. Morgan Kaufmann. details

104. William B. Langdon and Peter Nordin. Evolving Hand-Eye Coordination for a Humanoid Robot with Machine Code Genetic Programming. In Julian F. Miller and Marco Tomassini and Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and William B. Langdon editors, Genetic Programming, Proceedings of EuroGP'2001, volume 2038, pages 313-324, Lake Como, Italy, 2001. Springer-Verlag. details

105. William B. Langdon and Bernard F. Buxton. Evolving Receiver Operating Characteristics for Data Fusion. In Julian F. Miller and Marco Tomassini and Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and William B. Langdon editors, Genetic Programming, Proceedings of EuroGP'2001, volume 2038, pages 87-96, Lake Como, Italy, 2001. Springer-Verlag. details

106. W. B. Langdon and J. P. Nordin. Seeding GP Populations. In Riccardo Poli and Wolfgang Banzhaf and William B. Langdon and Julian F. Miller and Peter Nordin and Terence C. Fogarty editors, Genetic Programming, Proceedings of EuroGP'2000, volume 1802, pages 304-315, Edinburgh, 2000. Springer-Verlag. details

107. W. B. Langdon and W. Banzhaf. Genetic Programming Bloat without Semantics. In Marc Schoenauer and Kalyanmoy Deb and G\"unter Rudolph and Xin Yao and Evelyne Lutton and Juan Julian Merelo and Hans-Paul Schwefel editors, Parallel Problem Solving from Nature - PPSN VI 6th International Conference, volume 1917, pages 201-210, Paris, France, 2000. Springer Verlag. details

108. W. B. Langdon. Quadratic Bloat in Genetic Programming. In Darrell Whitley and David Goldberg and Erick Cantu-Paz and Lee Spector and Ian Parmee and Hans-Georg Beyer editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), pages 451-458, Las Vegas, Nevada, USA, 2000. Morgan Kaufmann. details

109. Robert Feldt and Michael O'Neill and Conor Ryan and Peter Nordin and William B. Langdon. GP-Beagle: A Benchmarking Problem Repository for the Genetic Programming Community. In Darrell Whitley editor, Late Breaking Papers at the 2000 Genetic and Evolutionary Computation Conference, pages 90-97, Las Vegas, Nevada, USA, 2000. details

110. Martijn C. J. Bot and William B. Langdon. Application of Genetic Programming to Induction of Linear Classification Trees. In Riccardo Poli and Wolfgang Banzhaf and William B. Langdon and Julian F. Miller and Peter Nordin and Terence C. Fogarty editors, Genetic Programming, Proceedings of EuroGP'2000, volume 1802, pages 247-258, Edinburgh, 2000. Springer-Verlag. details

111. Riccardo Poli and Jonathan Page and W. B. Langdon. Smooth Uniform Crossover, Sub-Machine Code GP and Demes: A Recipe For Solving High-Order Boolean Parity Problems. In Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith editors, Proceedings of the Genetic and Evolutionary Computation Conference, volume 2, pages 1162-1169, Orlando, Florida, USA, 1999. Morgan Kaufmann. details

112. J. Page and R. Poli and W. B. Langdon. Smooth Uniform Crossover with Smooth Point Mutation in Genetic Programming: A Preliminary Study. In Riccardo Poli and Peter Nordin and William B. Langdon and Terence C. Fogarty editors, Genetic Programming, Proceedings of EuroGP'99, volume 1598, pages 39-49, Goteborg, Sweden, 1999. Springer-Verlag. details

113. W. B. Langdon. Linear Increase in Tree Height Leads to Sub-Quadratic Bloat. In Thomas Haynes and William B. Langdon and Una-May O'Reilly and Riccardo Poli and Justinian Rosca editors, Foundations of Genetic Programming, pages 55-56, Orlando, Florida, USA, 1999. details

114. W. B. Langdon. Size Fair and Homologous Tree Genetic Programming Crossovers. In Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith editors, Proceedings of the Genetic and Evolutionary Computation Conference, volume 2, pages 1092-1097, Orlando, Florida, USA, 1999. Morgan Kaufmann. details

115. W. B. Langdon. Size Fair Tree Crossovers. In Eric Postma and Marc Gyssen editors, Proceedings of the Eleventh Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'99), pages 255-256, Kasteel Vaeshartelt, Maastricht, Holland, 1999. details

116. W. B. Langdon and R. Poli. Boolean Functions Fitness Spaces. In Riccardo Poli and Peter Nordin and William B. Langdon and Terence C. Fogarty editors, Genetic Programming, Proceedings of EuroGP'99, volume 1598, pages 1-14, Goteborg, Sweden, 1999. Springer-Verlag. details

117. W. B. Langdon. Genetic Programming Approach to Benelearn 99: I. In Peter van der Putten and Maarten van Someren editors, The Benelearn 1999 Competition, page 3.5, Sociaal-Wetenschappelijke Informatica, Universiteit van Amsterdam, 1999. details

118. Fuey Sian Chong and W. B. Langdon. Java based Distributed Genetic Programming on the Internet. In Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith editors, Proceedings of the Genetic and Evolutionary Computation Conference, volume 2, page 1229, Orlando, Florida, USA, 1999. Morgan Kaufmann. Full text in technical report CSRP-99-7. details

119. Martijn Bot and William B. Langdon. Application of Genetic Programming to Induction of Linear Classification Trees. In Eric Postma and Marc Gyssens editors, Proceedings of the Eleventh Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'99), pages 107-114, Kasteel Vaeshartelt, Maastricht, Holland, 1999. details

120. Riccardo Poli and W. B. Langdon. A Review of Theoretical and Experimental Results on Schemata in Genetic Programming. In Wolfgang Banzhaf and Riccardo Poli and Marc Schoenauer and Terence C. Fogarty editors, Proceedings of the First European Workshop on Genetic Programming, volume 1391, pages 1-15, Paris, 1998. Springer-Verlag. details

121. Riccardo Poli and William B. Langdon. On the Search Properties of Different Crossover Operators in Genetic Programming. In John R. Koza and Wolfgang Banzhaf and Kumar Chellapilla and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max H. Garzon and David E. Goldberg and Hitoshi Iba and Rick Riolo editors, Genetic Programming 1998: Proceedings of the Third Annual Conference, pages 293-301, University of Wisconsin, Madison, Wisconsin, USA, 1998. Morgan Kaufmann. details

122. Riccardo Poli and William B. Langdon and Una-May O'Reilly. Analysis of Schema Variance and Short Term Extinction Likelihoods. In John R. Koza and Wolfgang Banzhaf and Kumar Chellapilla and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max H. Garzon and David E. Goldberg and Hitoshi Iba and Rick Riolo editors, Genetic Programming 1998: Proceedings of the Third Annual Conference, pages 284-292, University of Wisconsin, Madison, Wisconsin, USA, 1998. Morgan Kaufmann. details

123. W. B. Langdon and R. Poli. Boolean Functions Fitness Spaces. In John R. Koza editor, Late Breaking Papers at the Genetic Programming 1998 Conference, pages 125-133, University of Wisconsin, Madison, Wisconsin, USA, 1998. Stanford University Bookstore. details

124. W. B. Langdon and R. Poli. Genetic Programming Bloat with Dynamic Fitness. In Wolfgang Banzhaf and Riccardo Poli and Marc Schoenauer and Terence C. Fogarty editors, Proceedings of the First European Workshop on Genetic Programming, volume 1391, pages 97-112, Paris, 1998. Springer-Verlag. details

125. W. B. Langdon and R. Poli. Why Ants are Hard. In John R. Koza and Wolfgang Banzhaf and Kumar Chellapilla and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max H. Garzon and David E. Goldberg and Hitoshi Iba and Rick Riolo editors, Genetic Programming 1998: Proceedings of the Third Annual Conference, pages 193-201, University of Wisconsin, Madison, Wisconsin, USA, 1998. Morgan Kaufmann. details

126. W. B. Langdon. Better Trained Ants. In Riccardo Poli and W. B. Langdon and Marc Schoenauer and Terry Fogarty and Wolfgang Banzhaf editors, Late Breaking Papers at EuroGP'98: the First European Workshop on Genetic Programming, pages 11-13, Paris, France, 1998. CSRP-98-10, The University of Birmingham, UK. details

127. W. B. Langdon. The Evolution of Size in Variable Length Representations. In 1998 IEEE International Conference on Evolutionary Computation, pages 633-638, Anchorage, Alaska, USA, 1998. IEEE Press. details

128. W. B. Langdon and R. Poli. Fitness Causes Bloat: Mutation. In Wolfgang Banzhaf and Riccardo Poli and Marc Schoenauer and Terence C. Fogarty editors, Proceedings of the First European Workshop on Genetic Programming, volume 1391, pages 37-48, Paris, 1998. Springer-Verlag. details

129. Riccardo Poli and W. B. Langdon. A Review of Theoretical and Experimental Results on Schemata in Genetic Programming. In Chris Clack and Kanta Vekaria and Nadav Zin editors, ET'97 Theory and Application of Evolutionary Computation, pages 29-43, University College London, UK, 1997. details

130. Riccardo Poli and W. B. Langdon. A New Schema Theory for Genetic Programming with One-point Crossover and Point Mutation. In John R. Koza and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max Garzon and Hitoshi Iba and Rick L. Riolo editors, Genetic Programming 1997: Proceedings of the Second Annual Conference, pages 278-285, Stanford University, CA, USA, 1997. Morgan Kaufmann. details

131. Riccardo Poli and W. B. Langdon. An Experimental Analysis of Schema Creation, Propagation and Disruption in Genetic Programming. In Thomas Back editor, Genetic Algorithms: Proceedings of the Seventh International Conference, pages 18-25, Michigan State University, East Lansing, MI, USA, 1997. Morgan Kaufmann. details

132. Riccardo Poli and W. B. Langdon. Genetic Programming with One-Point Crossover. In P. K. Chawdhry and R. Roy and R. K. Pant editors, Soft Computing in Engineering Design and Manufacturing, pages 180-189, 1997. Springer-Verlag London. details

133. W. B. Langdon and R. Poli. An Analysis of the MAX Problem in Genetic Programming. In John R. Koza and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max Garzon and Hitoshi Iba and Rick L. Riolo editors, Genetic Programming 1997: Proceedings of the Second Annual Conference, pages 222-230, Stanford University, CA, USA, 1997. Morgan Kaufmann. details

134. W. B. Langdon and R. Poli. Fitness Causes Bloat. In P. K. Chawdhry and R. Roy and R. K. Pant editors, Soft Computing in Engineering Design and Manufacturing, pages 13-22, 1997. Springer-Verlag London. details

135. W. B. Langdon and R. Poli. Fitness Causes Bloat: Mutation. In Chris Clack and Kanta Vekaria and Nadav Zin editors, ET'97 Theory and Application of Evolutionary Computation, pages 59-77, University College London, UK, 1997. details

136. W. B. Langdon and R. Poli. Fitness Causes Bloat: Mutation. In John Koza editor, Late Breaking Papers at the GP-97 Conference, pages 132-140, Stanford, CA, USA, 1997. Stanford Bookstore. details

137. W. B. Langdon. Scheduling Maintenance of Electrical Power Transmission Networks Using Genetic Programming. In The 1st Online Workshop on Soft Computing (WSC1), 1996. Nagoya University, Japan. details

138. W. B. Langdon. Scheduling Maintenance of Electrical Power Transmission Networks Using Genetic Programming. In John Koza editor, Late Breaking Papers at the GP-96 Conference, pages 107-116, Stanford, CA, USA, 1996. Stanford Bookstore. details

139. W. B. Langdon. Using Data Structures within Genetic Programming. In John R. Koza and David E. Goldberg and David B. Fogel and Rick L. Riolo editors, Genetic Programming 1996: Proceedings of the First Annual Conference, pages 141-148, Stanford University, CA, USA, 1996. MIT Press. details

140. W. B. Langdon. Evolving Data Structures Using Genetic Programming. In Larry J. Eshelman editor, Genetic Algorithms: Proceedings of the Sixth International Conference (ICGA95), pages 295-302, Pittsburgh, PA, USA, 1995. Morgan Kaufmann. details

Genetic Programming book chapters by William B Langdon

1. William B. Langdon. Genetically Improved Software. In Amir H. Gandomi and Amir H. Alavi and Conor Ryan editors, Handbook of Genetic Programming Applications, chapter 8, pages 181-220. Springer, 2015. details

2. William B. Langdon. Large Scale Bioinformatics Data Mining with Parallel Genetic Programming on Graphics Processing Units. In Shigeyoshi Tsutsui and Pierre Collet editors, Massively Parallel Evolutionary Computation on GPGPUs, chapter 15, pages 311-347. Springer, 2013. details

3. William B. Langdon and Robert I. McKay and Lee Spector. Genetic Programming. In Michel Gendreau and Jean-Yves Potvin editors, Handbook of Metaheuristics, volume 146 of International Series in Operations Research \& Management Science, chapter 7, pages 185-225. Springer, 2010. details

4. W. B. Langdon. Large Scale Bioinformatics Data Mining with Parallel Genetic Programming on Graphics Processing Units. In Francisco Fernandez de Vega and Erick Cantu-Paz editors, Parallel and Distributed Computational Intelligence, volume 269 of Studies in Computational Intelligence, chapter 5, pages 113-141. Springer, 2010. details

5. William B. Langdon and Riccardo Poli and Nicholas F. McPhee and John R. Koza. Genetic Programming: An Introduction and Tutorial, with a Survey of techniques and Applications. In John Fulcher and Lakhmi C. Jain editors, Computational Intelligence: A Compendium, volume 115 of Studies in Computational Intelligence (SCI), chapter 22, pages 927-1028. Springer-Verlag, 2008. details

6. Wolfgang Banzhaf and Simon Harding and William B. Langdon and Garnett Wilson. Accelerating Genetic Programming through Graphics Processing Units. In Rick L. Riolo and Terence Soule and Bill Worzel editors, Genetic Programming Theory and Practice VI, chapter 15, pages 229-249. Springer, Ann Arbor, 2008. details

7. Riccardo Poli and William B. Langdon. Efficient Markov chain model of machine code program execution and halting. In Rick L. Riolo and Terence Soule and Bill Worzel editors, Genetic Programming Theory and Practice IV, volume 5 of Genetic and Evolutionary Computation, pages 257-278. Springer, Ann Arbor, 2006. details

8. Riccardo Poli and William B. Langdon. Running Genetic Programming Backward. In Tina Yu and Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice III, volume 9 of Genetic Programming, chapter 9, pages 125-140. Springer, Ann Arbor, 2005. details

9. W. B. Langdon and S. J. Barrett. Genetic Programming in Data Mining for Drug Discovery. In Ashish Ghosh and Lakhmi C. Jain editors, Evolutionary Computing in Data Mining, volume 163 of Studies in Fuzziness and Soft Computing, chapter 10, pages 211-235. Springer, 2004. details

10. W. B. Langdon. The distribution of Reversible Functions is Normal. In Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice, chapter 11, pages 173-187. Kluwer, 2003. details

11. Riccardo Poli and William B. Langdon. Sub-machine-code Genetic Programming. In Lee Spector and William B. Langdon and Una-May O'Reilly and Peter J. Angeline editors, Advances in Genetic Programming 3, chapter 13, pages 301-323. MIT Press, Cambridge, MA, USA, 1999. details

12. William B. Langdon and Terry Soule and Riccardo Poli and James A. Foster. The Evolution of Size and Shape. In Lee Spector and William B. Langdon and Una-May O'Reilly and Peter J. Angeline editors, Advances in Genetic Programming 3, chapter 8, pages 163-190. MIT Press, Cambridge, MA, USA, 1999. details

13. Lee Spector and W. B. Langdon and Una-May O'Reilly and Peter J. Angeline. An Introduction to the Third Volume. In Lee Spector and William B. Langdon and Una-May O'Reilly and Peter J. Angeline editors, Advances in Genetic Programming 3, chapter 1, pages 1-12. MIT Press, Cambridge, MA, USA, 1999. details

14. W. B. Langdon and P. C. Treleaven. Scheduling Maintenance of Electrical Power Transmission Networks Using Genetic Programming. In Kevin Warwick and Arthur Ekwue and Raj Aggarwal editors, Artificial Intelligence Techniques in Power Systems, chapter 10, pages 220-237. IEE, 1997. details

15. William B. Langdon. Data Structures and Genetic Programming. In Peter J. Angeline and K. E. Kinnear, Jr. editors, Advances in Genetic Programming 2, chapter 20, pages 395-414. MIT Press, Cambridge, MA, USA, 1996. details

16. William B. Langdon. A Bibliography for Genetic Programming. In Peter J. Angeline and K. E. Kinnear, Jr. editors, Advances in Genetic Programming 2, chapter B, pages 507-531. MIT Press, Cambridge, MA, USA, 1996. details

Genetic Programming technical reports by William B Langdon

1. William B. Langdon. Fast Generation of Big Random Binary Trees. Technical report, RN/20/01, Computer Science, University College, London, Gower Street, London, UK, 2020. details

2. W. B. Langdon and W. Banzhaf. Faster Genetic Programming GPquick via multicore and Advanced Vector Extensions. Technical report, RN/19/01, University College, London, London, UK, 2019. details

3. William B. Langdon and Westley Weimer and Christopher Timperley and Oliver Krauss and Zhen Yu Ding and Yiwei Lyu and Nicolas Chausseau and Eric Schulte and Shin Hwei Tan and Kevin Leach and Yu Huang and Gabin An. The State and Future of Genetic Improvement. Technical report, RN/19/02, Computer Science, University College, London, Gower Street, London, 2019. details

4. W. B. Langdon. Human-Competitive Awards 2018. Technical report, RN/18/07, University College, London, London, UK, 2018. in SIGEVOlution 2018(4). details

5. W. B. Langdon. Genetic Improvement GISMOE Blue Software Tool Demo. Technical report, RN/18/06, University College, London, London, UK, 2018. details

6. W. B. Langdon. Evolving Square Root into Binary Logarithm. Technical report, RN/18/05, University College, London, London, UK, 2018. details

7. W. B. Langdon. Evolving better RNAfold C source code. Technical report, RN/17/08, University College, London, London, UK, 2017. Also available as bioRxiv preprint 201640. details

8. W. B. Langdon. Long-Term Evolution of Genetic Programming Populations. Technical report, RN/17/05, University College, London, London, UK, 2017. Also available as arXiv 1843365. details

9. William B. Langdon. Landscape of the Triangle Program. Technical report, 5, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, Dagstuhl, Germany, 2017. 3.18. details

10. William B. Langdon. Convergence in Genetic Programming. Technical report, 5, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, Dagstuhl, Germany, 2017. 3.17. details

11. William B. Langdon. The Genetic Improvement Fitness Landscape. Technical report, RN/16/04, University College, London, London, UK, 2016. details

12. W. B. Langdon and M. Harman. Genetically Improved CUDA kernels for StereoCamera. Research Note , RN/14/02, Department of Computer Science, University College London, Gower Street, London WC1E 6BT, UK, 2014. details

13. W. B. Langdon and M. Harman. Using Genetic Programming to Model Software. Technical report, RN/13/12, Department of Computer Science, University College London, London WC1E 6BT, UK, 2013. details

14. W. B. Langdon. Which is faster: Bowtie2GP $>$ Bowtie $>$ Bowtie2 $>$ BWA. Research Note , RN/13/03, Department of Computer Science, University College London, Gower Street, London WC1E 6BT, UK, 2013. details

15. William B. Langdon and Mark Harman. Genetically Improving 50000 Lines of C++. Research Note , RN/12/09, Department of Computer Science, University College London, Gower Street, London WC1E 6BT, UK, 2012. details

16. W. B. Langdon. Initial experiences of the Emerald: e-Infrastructure South GPU supercomputer. Research Note , RN/12/08, Department of Computer Science, University College London, Gower Street, London WC1E 6BT, UK, 2012. details

17. W. B. Langdon. Minimising Testing in Genetic Programming. Technical report, RN/11/10, Computer Science, University College London, Gower Street, London WC1E 6BT, UK, 2011. details

18. W. B. Langdon and M. Harman. Evolving gzip matches Kernel from an nVidia CUDA Template. Technical report, TR-10-02, Department of Computer Science, King's College London, London, WC2R 2LS, UK, 2010. details

19. W. B. Langdon and M. Harman. Evolving a CUDA Kernel from an nVidia Template. Technical report, TR-10-07, Department of Computer Science, Crest Centre, King's College, London, Strand, London, WC2R 2LS, UK, 2010. Invited presentation to the Natural Computing Applications Forum, http://www.ncaf.org.uk, 12-13 July 2010, Surrey University. details

20. W. B. Langdon. 2-bit Flip Mutation Elementary Fitness Landscapes. Research Note , RN/10/04, Department of Computer Science, University College London, Gower Street, London WC1E 6BT, UK, 2010. Presented at Dagstuhl Seminar 10361, Theory of Evolutionary Algorithms, 8 September 2010. details

21. W. B. Langdon. A CUDA SIMT Interpreter for Genetic Programming. Technical report, TR-09-05, Department of Computer Science, King's College London, Strand, WC2R 2LS, UK, 2009. Revised. details

22. W. B. Langdon and J. Rowsell and A. P. Harrison. Creating Regular Expressions as mRNA Motifs with GP to Predict Human Exon Splitting. Technical report, TR-09-02, Department of Computer Science, Crest Centre, King's College, London, Strand, London, WC2R 2LS, UK, 2009. details

23. W. B. Langdon and A. P. Harrison. Evolving Regular Expressions for GeneChip Probe Performance Prediction. Technical report, CES-483, Computing and Electronic Systems, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UK, 2008. details

24. W. B. Langdon. Genetic Programming for Drug Discovery. Technical report, CES-481, Computing and Electronic Systems, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UK, 2008. details

25. W. B. Langdon. A SIMD interpreter for Genetic Programming on GPU Graphics Cards. Technical report, CSM-470, Department of Computer Science, University of Essex, Colchester, UK, 2007. details

26. Riccardo Poli and William B. Langdon and Nicholas F. McPhee and John R. Koza. Genetic Programming An Introductory Tutorial and a Survey of Techniques and Applications. Technical report, CES-475, Department of Computing and Electronic Systems, University of Essex, UK, 2007. details

27. R. Poli and W. B. Langdon and Stephen Dignum. On the Limiting Distribution of Program Sizes in Tree-based Genetic Programming. Technical Report , CSM-464, Department of Computer Science, University of Essex, 2006. details

28. Riccardo Poli and Alden H. Wright and Nicholas F. McPhee and William B. Langdon. Emergent Behaviour, Population-based Search and Low-pass Filtering. Technical Report , CSM-446, Department of Computer Science, University of Essex, 2006. details

29. W. B. Langdon. The Halting Probability in von Neumann Architectures. Technical report, CSM-456, Computer Science, University of Essex, UK, 2006. details

30. W. B. Langdon. Predicting Ten Thousand Bits from Ten Thousand Inputs. Technical report, CSM-457, Department of Computer Science, University of Essex, Colchester, UK, 2006. details

31. W. B. Langdon and R. Poli. Evolving Problems to Learn about Particle Swarm Optimisers and other Search Algorithms. Technical report, CSM-455, Computer Science, University of Essex, UK, 2006. details

32. W. B. Langdon and Riccardo Poli. Evolutionary Solo Pong Players. Technical report, CSM-423, Department of Computer Science, University of Essex, Colchester, UK, 2005. details

33. W. B. Langdon and R. Poli. On Turing complete T7 and MISC F-4 program fitness landscapes. Technical report, CSM-445, Computer Science, University of Essex, UK, 2005. details

34. W. B. Langdon and Riccardo Poli and Christopher R. Stephens. Kernel methods for PSOs. Technical report, CSM-443, Computer Science, University of Essex, UK, 2005. details

35. Riccardo Poli and William B. Langdon. Backward-chaining Genetic Programming. Technical Report , CSM-425, Department of Computer Science, University of Essex, 2005. details

36. W. B. Langdon. Lindenmayer Systems Fractals Evolved by Pfeiffer 10~September -- 9~November 2003. Research Note , RN/04/13, University College, London, 2004. details

37. W. B. Langdon. Characteristics of the Genetic Programming Search Space. Technical Report , 364, University of Hertfordshire, Computer Science, University of Hertfordshire, 2002. details

38. William B. Langdon. Structure of the Genetic Programming Search Space. Report , 330, Dagstuhl, Germany, 2002. details

39. W. B. Langdon. Prediction. Technical report, Commercial, 2001. details

40. W. B. Langdon. Evolutionary Data Fusion. Technical report, RN/01/19, University College, London, UK, 2001. details

41. Riccardo Poli and Jonathan Page and William B. Langdon. Solving Even-12, -13, -15, -17, -20 and -22 Boolean Parity Problems using Sub-machine Code GP with Smooth Uniform Crossover, Smooth Point Mutation and Demes. Technical report, CSRP-99-2, University of Birmingham, School of Computer Science, 1999. details

42. W. B. Langdon. Size Fair and Homologous Tree Crossovers. Technical report, SEN-R9907, Centrum voor Wiskunde en Informatica, CWI, P.O. Box 94079, Kruislaan 413, NL-1090 GB Amsterdam, The Netherlands, 1999. details

43. Riccardo Poli and William B Langdon. Sub-machine-code Genetic Programming. Technical report, CSRP-98-18, University of Birmingham, School of Computer Science, 1998. details

44. Riccardo Poli and William B. Langdon. On the Ability to Search the Space of Programs of Standard, One-point and Uniform Crossover in Genetic Programming. Technical report, CSRP-98-7, University of Birmingham, School of Computer Science, 1998. Presented at GP-98. details

45. Riccardo Poli and William B. Langdon and Una-May O'Reilly. Short Term Extinction Probability of Newly Created Schemata, and Schema Variance and Signal-to-Noise-Ratio Theorems in the Presence of Schema Creation. Technical report, CSRP-98-6, University of Birmingham, School of Computer Science, 1998. Presented at GP-98. details

46. Jonathan Page and Riccardo Poli and William B. Langdon. Smooth Uniform Crossover with Smooth Point Mutation in Genetic Programming: A Preliminary Study. Technical report, CSRP-98-20, University of Birmingham, School of Computer Science, 1998. details

47. W. B. Langdon and R. Poli. Why Ants are Hard. Technical report, CSRP-98-4, University of Birmingham, School of Computer Science, 1998. Presented at GP-98. details

48. W. B. Langdon and R. Poli. Better Trained Ants for Genetic Programming. Technical report, CSRP-98-12, University of Birmingham, School of Computer Science, 1998. details

49. W. B. Langdon and R. Poli. Why ``Building Blocks'' Don't Work on Parity Problems. Technical report, CSRP-98-17, University of Birmingham, School of Computer Science, 1998. details

50. Riccardo Poli and W. B. Langdon. A Review of Theoretical and Experimental Results on Schemata in Genetic Programming. Technical Report , CSRP-97-27, University of Birmingham, B15 2TT, UK, 1997. Presented at ET-97. details

51. Riccardo Poli and W. B. Langdon. A New Schema Theory for Genetic Programming with One-Point Crossover and Point Mutation. Technical Report , CSRP-97-3, School of Computer Science, The University of Birmingham, B15 2TT, UK, 1997. Presented at GP-97. details

52. Riccardo Poli and W. B. Langdon. Genetic Programming with One-Point Crossover and Point Mutation. Technical report, CSRP-97-13, University of Birmingham, School of Computer Science, Birmingham, B15 2TT, UK, 1997. details

53. Bill Langdon and Chris Clack. Software -- The Next Generation: Grow Your Own Programs. White paper , UCL, Andersen Consulting, University College London, Gower Street, London, 1997. details

54. W. B. Langdon. Scheduling Planned Maintenance of Electrical Power Transmission Networks Using Genetic Algorithms. Technical report, CSRP-97-26, University of Birmingham, Ukraine, 1997. Translated to Russian, but OSNOVA never published intended book. details

55. W. B. Langdon and R. Poli. Genetic Programming Bloat with Dynamic Fitness. Technical report, CSRP-97-29, University of Birmingham, School of Computer Science, 1997. details

56. W. B. Langdon. Fitness Causes Bloat: Simulated Annealing, Hill Climbing and Populations. Technical report, CSRP-97-22, University of Birmingham, School of Computer Science, 1997. details

57. Riccardo Poli and W. B. Langdon. An Experimental Analysis of Schema Creation, Propagation and Disruption in Genetic Programming. Technical Report , CSRP-97-8, University of Birmingham, School of Computer Science, 1997. Presented at ICGA-97. details

58. W. B. Langdon and R. Poli. Fitness Causes Bloat. Technical report, CSRP-97-09, University of Birmingham, School of Computer Science, Birmingham, B15 2TT, UK, 1997. details

59. W. B. Langdon. Fitness Causes Bloat in Variable Size Representations. Technical report, CSRP-97-14, University of Birmingham, School of Computer Science, 1997. Position paper at the Workshop on Evolutionary Computation with Variable Size Representation at ICGA-97. details

60. W. B. Langdon and R. Poli. Price's Theorem and the MAX Problem. Technical report, CSRP-97-4, University of Birmingham, School of Computer Science, 1997. details

61. W. B. Langdon. Scheduling Maintenance of Electrical Power Transmission Networks Using Genetic Programming. Research Note , RN/96/49, University College London, Gower Street, London WC1E 6BT, UK, 1996. details

62. W. B. Langdon. Genetic Programming and Databases. Internal Note , IN/96/4, University College London, Gower Street, London WC1E 6BT, UK, 1996. details

63. W. B. Langdon. Evolution of Genetic Programming Populations. Research Note , RN/96/125, University College London, Gower Street, London WC1E 6BT, UK, 1996. details

64. W. B. Langdon. Using Data Structures within Genetic Programming. Research Note , RN/96/1, UCL, Gower Street, London, WC1E 6BT, UK, 1996. details

65. William B. Langdon and Adil Qureshi. Genetic Programming -- Computers using ``Natural Selection'' to generate programs. Research Note , RN/95/76, University College London, Gower Street, London WC1E 6BT, UK, 1995. details

66. W. B. Langdon. Directed Crossover within Genetic Programming. Research Note , RN/95/71, University College London, Gower Street, London WC1E 6BT, UK, 1995. details

67. W. B. Langdon. Data Structures and Genetic Programming. Research Note , RN/95/70, University College London, Gower Street, London WC1E 6BT, UK, 1995. details

68. W. B. Langdon. Pareto, Population Partitioning, Price and Genetic Programming. Research Note , RN/95/29, University College London, Gower Street, London WC1E 6BT, UK, 1995. details

69. W. B. Langdon. Evolving Data Structures Using Genetic Programming. Research Note , RN/95/1, UCL, Gower Street, London, WC1E 6BT, UK, 1995. details

70. W. B. Langdon. Quick Intro to simple-gp.c. Internal Note , IN/95/2, University College London, Gower Street, London WC1E 6BT, UK, 1994. details

Genetic Programming other entries for William B Langdon

1. William B. Langdon. Evolutionary Robustness. 2024. Invited talk. details

2. William B. Langdon and Justyna Petke and Aymeric Blot and David Clark. GI Software with fewer Data Caches Misses. 2023. details

3. W. B. Langdon. A Trillion Genetic Programming Instructions per Second. 2022. details

4. W. B. Langdon. Multi-threaded Memory Efficient Crossover in C++ for Generational Genetic Programming. 2020. details

5. W. B. Langdon. Software Improvement by Data Improvement. 2019. details

6. W. B. Langdon and Bob Davidson. BarraCUDA in the Cloud. 2017. details

7. William B. Langdon and Justyna Petke. Genetic Improvement. 2016. details

8. Justyna Petke and Mark Harman and William B. Langdon and Westley Weimer. Using Genetic Improvement \& Code Transplants to Specialise a C++ Program to a Problem Class. 2014. Winner Silver Humie. details

9. W. B. Langdon. Improved CUDA 3D Medical Image Registration. 2014. details

10. W. B. Langdon and Olivia Sanchez Graillet and A. P. Harrison. Automated DNA Motif Discovery. 2010. details

11. W. B. Langdon. A field guide to genetic programming. 2008. Thank you to Seminar 08051. details

12. W. B. Langdon. A Field Guide to Genetic Programing. 2008. details

13. W. B. Langdon and B. F. Buxton. The Application of Genetic Programming for Drug Discovery in the Pharmaceutical Industry. EPSRC RAIS Secondment with GlaxoSmithKline. 2003. details

14. W. B. Langdon and B. F. Buxton and S. J. Barrett. Combining Machine Learning techniques to Predict Compounds' Cytochrome P450 High Throughput Screening Inhibition. 2002. Poster. details

15. W. B. Langdon. Application of genetic programming in drug lead discovery. 2002. Invited conference speaker. details

16. Dynamics of Evolutionary Algorithms. 2001. details

17. Fuey Sian Chong and W. B. Langdon. Java based Distributed Genetic Programming on the Internet. 1999. details

18. W. B. Langdon and R. Poli. Genetic Programming in Europe. 1997. details

19. W. B. Langdon. Fitness Causes Bloat: Mutation. 1997. details