Genetic Programming Bibliography entries for Conor Ryan

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GP coauthors/coeditors: Muhammad Sarmad Ali, Meghana Kshirsagar, Enrique Naredo, Muhammad Sheraz Anjum, Tom Arbuckle, Damien Hogan, R Muhammad Atif Azad, Mark E Burke, Ali Raza Ansari, Michael Walsh, Tim McGloughlin, David Medernach, Anthony Brabazon, Michael O'Neill, John James Collins, Robin Matthews, Samuel Carvalho, Joe Sullivan, Douglas Mota Dias, Gopinath Chennupati, Jeannie Fitzgerald, Stephan Eidenbenz, Nandakishore Santhi, Dan Costelloe, Allan De Lima, Allan Danilo de Lima, Jorge Luis Machado Do Amaral, Robert Feldt, Peter Nordin, William B Langdon, Krzysztof Krawiec, A H Gandomi, A H Alavi, Krishn Kumar Gupt, Lukas Rosenbauer, Yumnah Hasan, Fatemeh Amerehi, Darian Reyes Fernandez de Bulnes, Patrick Healy, Haym Hirsh, Wolfgang Banzhaf, John Koza, Lee Spector, Christian Jacob, Daniel Howard, Simon C Roberts, Adrian Brezulianu, Muhammad Rezaul Karim, Maarten Keijzer, Mike Cattolico, Vladan Babovic, Gearoid Murphy, Dirk V Arnold, Christian Blum, Peter A N Bosman, Martin V Butz, Carlos Artemio Coello Coello, Dipankar Dasgupta, Sevan G Ficici, James A Foster, Arturo Hernandez-Aguirre, Gregory S Hornby, Hod Lipson, Phil McMinn, Jason H Moore, Gunther R Raidl, Franz Rothlauf, Dirk Thierens, Rushikesh Jachak, Purva Chaudhari, Fergal Lane, Fiacc Larkin, Evelyne Lutton, Julian F Miller, Andrea G B Tettamanzi, Hammad Majeed, Taras Kowaliw, Rene Doursat, Marco Tomassini, Pier Luca Lanzi, Aidan Murphy, Grainne Murphy, Ivan Guevara, Tiziana Margaria, Paulo Urbano, Leonardo Trujillo, Candelaria Elizabeth Sansores Perez, Flaviano Godinez, Francisco Lopez Valverde, Miguel Nicolau, Anne Auger, Ian Dempsey, John O'Sullivan, James Vincent Patten, Atif Rafiq, Noman Javed, Adil Raja, Ambreen Hanif, Colin Flanagan, Dorel Picovici, Edgar Galvan Lopez, Paul J Walsh, Jim Buckley, Tony Cahill, Niall Griffith, Paddy Healy, Laur Ivan, Alan Sheahan, Terence Soule, Edward P K Tsang, Riccardo Poli, Ernesto Costa, Barry Fitzgerald, Una-May O'Reilly, Michael Tetteh, Gauri Vaidya, Andrew Cunningham, R Sivaraman, Eoin Ryan, Vijay Sambhe, Shanmukha Rajesh, Christopher R Stephens, Jack McEllin, Luise Ilg, Ayman Youssef, Bilal Majeed,

Genetic Programming Articles by Conor Ryan

  1. Krishn Kumar Gupt and Meghana Kshirsagar and Douglas Mota Dias and Joseph P. Sullivan and Conor Ryan. A novel ML-driven test case selection approach for enhancing the performance of grammatical evolution. Frontiers in Computer Science, 2024. details

  2. Michael Tetteh and Allan de Lima and Jack McEllin and Aidan Murphy and Douglas Mota Dias and Conor Ryan. Evolving Multi-Output Digital Circuits Using Multi-Genome Grammatical Evolution. Algorithms, 16(8):Article No. 365, 2023. details

  3. Enrique Naredo and Candelaria Sansores and Flaviano Godinez and Francisco Lopez and Paulo Urbano and Leonardo Trujillo and Conor Ryan. Comprehensive Analysis of Learning Cases in an Autonomous Navigation Task for the Evolution of General Controllers. Mathematical and Computational Applications, 28(2) 2023. details

  4. Conor Ryan and Meghana Kshirsagar and Gauri Vaidya and Andrew Cunningham and R. Sivaraman. Design of a cryptographically secure pseudo random number generator with grammatical evolution. Scientific Reports, 12:Article number: 8602, 2022. details

  5. Muhammad Sheraz Anjum and Conor Ryan. Seeding Grammars in Grammatical Evolution to Improve Search-Based Software Testing. SN Computer Science, 2:280, 2021. details

  6. Conor Ryan. A rebuttal to Whigham, Dick, and Maclaurin by one of the inventors of Grammatical Evolution: Commentary on ``On the Mapping of Genotype to Phenotype in Evolutionary Algorithms'' by Peter A. Whigham, Grant Dick, and James Maclaurin. Genetic Programming and Evolvable Machines, 18(3):385-389, 2017. Special Peer Commentary on Mapping of Genotype to Phenotype in Evolutionary Algorithms. details

  7. Jeannie Fitzgerald and Conor Ryan. Balancing exploration and exploitation in genetic programming using inversion with individualized self-adaptation. International Journal of Hybrid Intelligent Systems, 11(4):273-285, 2014. details

  8. Raja Muhammad Atif Azad and Conor Ryan. A Simple Approach to Lifetime Learning in Genetic Programming based Symbolic Regression. Evolutionary Computation, 22(2):287-317, 2014. details

  9. Tom Arbuckle and Damien Hogan and Conor Ryan. Learning predictors for flash memory endurance: a comparative study of alternative classification methods. International Journal of Computational Intelligence Studies, 3(1):18-39, 2014. details

  10. Muhammad Rezaul Karim and Conor Ryan. Attributed Grammatical Evolution with Lookahead for the Multiple Knapsack Problem. Memetic Computing, 4(4):279-302, 2012. details

  11. Adil Raja and R. Muhammad Atif Azad and Colin Flanagan and Conor Ryan. Evolutionary speech quality estimation in VoIP. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 15(1):89-94, 2011. Special issue on Bio-inspired Learning and Intelligent Systems. details

  12. A. Raja and R. M. A. Azad and C. Flanagan and C. Ryan. A Methodology for Deriving VoIP Equipment Impairment Factors for a Mixed NB/WB Context. IEEE Transactions on Multimedia, 10(6):1046-1058, 2008. details

  13. Daniel Howard and Simon C. Roberts and Conor Ryan and Adrian Brezulianu. Textural Classification of Mammographic Parenchymal Patterns with the SONNET Selforganizing Neural Network. Journal of Biomedicine and Biotechnology, 2008:526343, 2008. details

  14. Daniel Howard and Simon C. Roberts and Conor Ryan. Pragmatic Genetic Programming strategy for the problem of vehicle detection in airborne reconnaissance. Pattern Recognition Letters, 27(11):1275-1288, 2006. Evolutionary Computer Vision and Image Understanding. details

  15. R. Muhammad Atif Azad and Ali R. Ansari and Conor Ryan and Michael Walsh and Tim McGloughlin. An evolutionary approach to Wall Sheer Stress prediction in a grafted artery. Applied Soft Computing, 4(2):139-148, 2004. details

  16. Michael O'Neill and Conor Ryan and Maarten Keijzer and Mike Cattolico. Crossover in Grammatical Evolution. Genetic Programming and Evolvable Machines, 4(1):67-93, 2003. details

  17. Michael O'Neill and Conor Ryan. Grammatical Evolution. IEEE Transactions on Evolutionary Computation, 5(4):349-358, 2001. details

  18. Conor Ryan. Book Review: Genetic Programming 3: Darwinian Invention and Problem Solving. Genetic Programming and Evolvable Machines, 1(4) 2000. details

  19. Conor Ryan. Genetic programming tools have the answers. IEEE Intelligent Systems, 15(3):78-80, 2000. details

  20. Haym Hirsh and Wolfgang Banzhaf and John R. Koza and Conor Ryan and Lee Spector and Christian Jacob. Genetic Programming. IEEE Intelligent Systems, 15(3):74-84, 2000. details

Genetic Programming Books by Conor Ryan

  1. Conor Ryan and Michael O'Neill and J. J. Collins editors, Handbook of Grammatical Evolution. Springer, 2018. details

  2. Amir H. Gandomi and Amir H. Alavi and Conor Ryan editors, Handbook of Genetic Programming Applications. Springer, 2015. details

  3. Michael O'Neill and Conor Ryan. Grammatical Evolution: Evolutionary Automatic Programming in a Arbitrary Language. Kluwer Academic Publishers, 2003. details

  4. Conor Ryan. Automatic Re-engineering of Software Using Genetic Programming. Kluwer Academic Publishers, 1999. details

Genetic Programming PhD doctoral thesis Conor Ryan

Genetic Programming Conference proceedings edited by Conor Ryan

  1. Maarten Keijzer and Mike Cattolico and Dirk Arnold and Vladan Babovic and Christian Blum and Peter Bosman and Martin V. Butz and Carlos Coello Coello and Dipankar Dasgupta and Sevan G. Ficici and James Foster and Arturo Hernandez-Aguirre and Greg Hornby and Hod Lipson and Phil McMinn and Jason Moore and Guenther Raidl and Franz Rothlauf and Conor Ryan and Dirk Thierens editors, GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation. Seattle, Washington, USA, ACM Press, 2006. details

  2. Conor Ryan and Terence Soule and Maarten Keijzer and Edward Tsang and Riccardo Poli and Ernesto Costa editors, Genetic Programming, Proceedings of the 6th European Conference, EuroGP 2003. Volume 2610 of LNCS, Essex, UK, Springer-Verlag, 2003. details

  3. 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 of LNCS, Kinsale, Ireland, Springer-Verlag, 2002. details

  4. 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

Genetic Programming conference papers by Conor Ryan

  1. Darian Reyes Fernandez De Bulnes and Allan De Lima and Aidan Murphy and Douglas Mota Dias and Conor Ryan. Feature Encapsulation by Stages Using Grammatical Evolution. In Ting Hu and Aniko Ekart editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pages 531-534, Melbourne, Australia, 2024. Association for Computing Machinery. details

  2. Allan de Lima and Samuel Carvalho and Douglas Mota Dias and Jorge Amaral and Joseph P. Sullivan and Conor Ryan. Fuzzy Pattern Trees for Classification Problems Using Genetic Programming. In Mario Giacobini and Bing Xue and Luca Manzoni editors, EuroGP 2024: Proceedings of the 27th European Conference on Genetic Programming, volume 14631, pages 3-20, Aberystwyth, 2024. Springer. details

  3. Darian Reyes Fernandez de Bulnes and Allan de Lima and Edgar Galvan and Conor Ryan. Feature Encapsulation by Stages in the Regression Domain Using Grammatical Evolution. In Heike Trautmann and Tea Tusar and Penousal Machado and Thomas Baeck editors, 18th International Conference on Parallel Problem Solving from Nature, University of Applied Sciences Upper Austria, Hagenberg, Austria, 2024. Springer. details

  4. Yumnah Hasan and Allan de Lima and Fatemeh Amerehi and Darian Reyes Fernandez de Bulnes and Patrick Healy and Conor Ryan. Interpretable Solutions for Breast Cancer Diagnosis with Grammatical Evolution and Data Augmentation. In Stephen Smith and Joao Correia and Christian Cintrano editors, 27th International Conference, EvoApplications 2024, volume 14634, pages 224-239, Aberystwyth, 2024. Springer. Best poster. details

  5. Aidan Murphy and Allan De Lima and Douglas Mota Dias and Conor Ryan. Error and Correlation as Fitness Functions for Scaled Symbolic Regression in Grammatical Evolution. 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 2023 Genetic and Evolutionary Computation Conference, pages 607-610, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  6. Allan De Lima and Samuel Carvalho and Douglas Dias and Joseph Sullivan and Conor Ryan. Leap Mapping: Improving Grammatical Evolution for Modularity Problems. 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 2023 Genetic and Evolutionary Computation Conference, pages 555-558, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  7. Atif Rafiq and Enrique Naredo and Meghana Kshirsagar and Conor Ryan. On the Effect of Embedding Hierarchy within Multi-Objective Optimization for Evolving Symbolic Regression Models. 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 ``Siggy'' 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 2022 Genetic and Evolutionary Computation Conference Companion, pages 594-597, Boston, USA, 2022. Association for Computing Machinery. details

  8. Krishn Gupt and Meghana Kshirsagar and Lukas Rosenbauer and Joseph Sullivan and Douglas Dias and Conor Ryan. PreDive: Preserving Diversity in Test Cases for Evolving Digital Circuits using Grammatical Evolution. 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 ``Siggy'' 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 2022 Genetic and Evolutionary Computation Conference Companion, pages 719-722, Boston, USA, 2022. Association for Computing Machinery. details

  9. Allan de Lima and Samuel Carvalho and Douglas Dias and Enrique Naredo and Joseph Sullivan and Conor Ryan. Lexi2: Lexicase Selection with Lexicographic Parsimony Pressure. 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 929-937, Boston, USA, 2022. Association for Computing Machinery. details

  10. Muhammad Sarmad Ali and Meghana Kshirsagar and Enrique Naredo and Conor Ryan. Automated Grammar-based Feature Selection in Symbolic Regression. 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 902-910, Boston, USA, 2022. Association for Computing Machinery. details

  11. Gauri Vaidya and Luise Ilg and Meghana Kshirsagar and Enrique Naredo and Conor Ryan. HyperEstimator: Evolving Computationally Efficient CNN Models with Grammatical Evolution. In Proceedings of the 19th International Conference on Smart Business Technologies (ICSBT 2022), pages 57-68, Lisbon, Portugal, 2022. details

  12. Muhammad Sarmad Ali and Meghana Kshirsagar and Enrique Naredo and Conor Ryan. Towards Automatic Grammatical Evolution for Real-world Symbolic Regression. In Thomas Baeck and Christian Wagner and Jonathan M. Garibaldi and H. K. Lam and Marie Cottrell and Juan Julian Merelo and Kevin Warwick editors, Proceedings of the 13th International Joint Conference on Computational Intelligence, IJCCI, pages 68-78, Online, 2021. SCITEPRESS. details

  13. Muhammad Sarmad Ali and Meghana Kshirsagar and Enrique Naredo and Conor Ryan. AutoGE: A Tool for Estimation of Grammatical Evolution Models. In Ana Paula Rocha and Luc Steels and H. Jaap van den Herik editors, Proceedings of the 13th International Conference on Agents and Artificial Intelligence, ICAART 2021, volume 2, pages 1274-1281, Online, 2021. SCITEPRESS. details

  14. Ayman Youssef and Bilal Majeed and Conor Ryan. Optimizing combinational logic circuits using Grammatical Evolution. In 2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES), pages 87-92, 2021. details

  15. Michael Tetteh and Douglas Mota Dias and Conor Ryan. Evolution of Complex Combinational Logic Circuits Using Grammatical Evolution with SystemVerilog. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2021: Proceedings of the 24th European Conference on Genetic Programming, volume 12691, pages 146-161, Virtual Event, 2021. Springer Verlag. details

  16. Aidan Murphy and Grainne Murphy and Jorge Amaral and Douglas Mota Dias and Enrique Naredo and Conor Ryan. Towards incorporating Human Knowledge in Fuzzy Pattern Tree Evolution. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2021: Proceedings of the 24th European Conference on Genetic Programming, volume 12691, pages 66-81, Virtual Event, 2021. Springer Verlag. Best paper. details

  17. Atif Rafiq and Enrique Naredo and Meghana Kshirsagar and Conor Ryan. Pyramid-Z: Evolving Hierarchical Specialists in Genetic Algorithms. In Thomas B\"ack and Christian Wagner and Jonathan M. Garibaldi and H. K. Lam and Marie Cottrell and Juan Juli\'an Merelo and Kevin Warwick editors, Proceedings of the 13th International Joint Conference on Computational Intelligence, IJCCI 2021, pages 49-58, Online Streaming, 2021. SciTePress. details

  18. Vijay Sambhe and Shanmukha Rajesh and Enrique Naredo and Douglas Mota Dias and Meghana Kshirsagar and Conor Ryan. Multi-objective Classification and Feature Selection of Covid-19 Proteins Sequences using NSGA-II and MAP-Elites. In Ana Paula Rocha and Luc Steels and H. Jaap van den Herik editors, Proceedings of the 13th International Conference on Agents and Artificial Intelligence, ICAART 2021, volume 2, pages 1241-1248, Online Streaming, 2021. SciTePress. details

  19. Samuel Carvalho and Joe Sullivan and Douglas Dias and Enrique Naredo and Conor Ryan. Using Grammatical Evolution for Modelling Energy Consumption on a Computer Numerical Control Machine. In Silvino Fernandez Alzueta and Thomas Stuetzle and Pablo Valledor editors, 6th Workshop on Industrial Applications of Metaheuristics, pages 1557-1563, internet, 2021. Association for Computing Machinery. details

  20. Conor Ryan and Michael Kwaku Tetteh and Douglas Mota Dias. Behavioural Modelling of Digital Circuits in System Verilog using Grammatical Evolution. In Juan Julian Merelo Guervos and Jonathan M. Garibaldi and Christian Wagner and Thomas Baeck and Kurosh Madani and Kevin Warwick editors, Proceedings of the 12th International Joint Conference on Computational Intelligence, IJCCI 2020, pages 28-39, Budapest, Hungary, 2020. SCITEPRESS. details

  21. Meghana Kshirsagar and Rushikesh Jachak and Purva Chaudhari and Conor Ryan. GEMO: Grammatical Evolution Memory Optimization System. In Juan Julian Merelo Guervos and Jonathan M. Garibaldi and Christian Wagner and Thomas Baeck and Kurosh Madani and Kevin Warwick editors, Proceedings of the 12th International Joint Conference on Computational Intelligence, IJCCI 2020, pages 184-191, Budapest, Hungary, 2020. SCITEPRESS. details

  22. Muhammad Adil Raja and Aidan Murphy and Conor Ryan. GELAB and Hybrid Optimization Using Grammatical Evolution. In Cesar Analide and Paulo Novais and David Camacho and Hujun Yin editors, Intelligent Data Engineering and Automated Learning, IDEAL 2020, Part I, volume 12489, pages 292-303, Guimaraes, Portugal, 2020. Springer. details

  23. Atif Rafiq and Noman Javed and Muhammad Adil Raja and Ambreen Hanif and Conor Ryan. Devising Technical Trading Rules for Pakistan Stock Exchange using Genetic Programming. In 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS), pages 395-401, Thoothukudi, India, 2020. IEEE. details

  24. Enrique Naredo and Conor Ryan and Ivan Guevara and Tiziana Margaria and Paulo Urbano and Leonardo Trujillo. General Controllers Evolved through Grammatical Evolution with a Divergent Search. In Richard Allmendinger and Hugo Terashima Marin and Efren Mezura Montes and Thomas Bartz-Beielstein and Bogdan Filipic and Ke Tang and David Howard and Emma Hart and Gusz Eiben and Tome Eftimov and William La Cava and Boris Naujoks and Pietro Oliveto and Vanessa Volz and Thomas Weise and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Rui Wang and Ran Cheng and Guohua Wu and Miqing Li and Hisao Ishibuchi and Jonathan Fieldsend and Ozgur Akman and Khulood Alyahya and Juergen Branke and John R. Woodward and Daniel R. Tauritz and Marco Baioletti and Josu Ceberio Uribe and John McCall and Alfredo Milani and Stefan Wagner and Michael Affenzeller and Bradley Alexander and Alexander (Sandy) Brownlee and Saemundur O. Haraldsson and Markus Wagner and Nayat Sanchez-Pi and Luis Marti and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and Matthew Johns and Nick Ross and Ed Keedwell and Herman Mahmoud and David Walker and Anthony Stein and Masaya Nakata and David Paetzel and Neil Vaughan and Stephen Smith and Stefano Cagnoni and Robert M. Patton and Ivanoe De Falco and Antonio Della Cioppa and Umberto Scafuri and Ernesto Tarantino 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 Erik Hemberg and Riyad Alshammari and Tokunbo Makanju and Fuijimino-shi and Ivan Zelinka and Swagatam Das and Ponnuthurai Nagaratnam and Roman Senkerik editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pages 243-244, internet, 2020. Association for Computing Machinery. details

  25. Aidan Murphy and Muhammad Sarmad Ali and Douglas Mota Dias and Jorge Amaral and Enrique Naredo and Conor Ryan. Grammar-based Fuzzy Pattern Trees for Classification Problems. In Proceedings of the 12th International Joint Conference on Computational Intelligence - ECTA, pages 71-80, Online, 2020. SciTePress. Best Student paper. details

  26. Aidan Murphy and Conor Ryan. Improving Module Identification and Use in Grammatical Evolution. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation, CEC 2020, page paper id24431, internet, 2020. IEEE Press. details

  27. Conor Ryan and Meghana Kshirsagar and Purva Chaudhari and Rushikesh Jachak. GETS: Grammatical Evolution based Optimization of Smoothing Parameters in Univariate Time Series Forecasting. In Ana Paula Rocha and Luc Steels and H. Jaap van den Herik editors, Proceedings of the 12th International Conference on Agents and Artificial Intelligence, ICAART 2020, volume 2, pages 595-602, Valletta, Malta, 2020. SCITEPRESS. details

  28. Muhammad Sheraz Anjum and Conor Ryan. Scalability Analysis of Grammatical Evolution Based Test Data Generation. In Carlos Artemio Coello Coello and Arturo Hernandez Aguirre and Josu Ceberio Uribe and Mario Garza Fabre and Gregorio Toscano Pulido and Katya Rodriguez-Vazquez and Elizabeth Wanner and Nadarajen Veerapen and Efren Mezura Montes and Richard Allmendinger and Hugo Terashima Marin and Markus Wagner and Thomas Bartz-Beielstein and Bogdan Filipic and Heike Trautmann and Ke Tang and John Koza and Erik Goodman and William B. Langdon and Miguel Nicolau and Christine Zarges and Vanessa Volz and Tea Tusar and Boris Naujoks and Peter A. N. Bosman and Darrell Whitley and Christine Solnon and Marde Helbig and Stephane Doncieux and Dennis G. Wilson and Francisco Fernandez de Vega and Luis Paquete and Francisco Chicano and Bing Xue and Jaume Bacardit and Sanaz Mostaghim and Jonathan Fieldsend and Oliver Schuetze and Dirk Arnold and Gabriela Ochoa and Carlos Segura and Carlos Cotta and Michael Emmerich and Mengjie Zhang and Robin Purshouse and Tapabrata Ray and Justyna Petke and Fuyuki Ishikawa and Johannes Lengler and Frank Neumann editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pages 1213-1221, internet, 2020. Association for Computing Machinery. details

  29. Muhammad Sheraz Anjum and Conor Ryan. Seeding Grammars in Grammatical Evolution to Improve Search Based Software Testing. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming, volume 12101, pages 18-34, Seville, Spain, 2020. Springer Verlag. details

  30. Muhammad Sheraz Anjum and Conor Ryan. Ariadne: Evolving test data using Grammatical Evolution. In Lukas Sekanina and Ting Hu and Nuno Lourenco editors, EuroGP 2019: Proceedings of the 22nd European Conference on Genetic Programming, volume 11451, pages 3-18, Leipzig, Germany, 2019. Springer Verlag. details

  31. Muhammad Adil Raja and Conor Ryan. GELAB - A Matlab Toolbox for Grammatical Evolution. In Hujun Yin and David Camacho and Paulo Novais and Antonio J. Tallon-Ballesteros editors, 19th International Conference Intelligent Data Engineering and Automated Learning, IDEAL 2018, Part II, volume 11315, pages 191-200, Madrid, Spain, 2018. Springer. details

  32. David Medernach and Jeannie Fitzgerald and R. Muhammad Atif Azad and Conor Ryan. A New Wave: A Dynamic Approach to Genetic Programming. In Tobias Friedrich editor, GECCO '16: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 757-764, Denver, USA, 2016. ACM. details

  33. Gopinath Chennupati and R. Muhammad Atif Azad and Conor Ryan. Automatic Lock-free Parallel Programming on Multi-core Processors. In Yew Soon Ong editor, CEC 2016, pages 4143-4150, Vancouver, 2016. IEEE. details

  34. James Vincent Patten and Conor Ryan. Attributed Grammatical Evolution using Shared Memory Spaces and Dynamically Typed Semantic Function Specification. In Penousal Machado and Malcolm I. Heywood and James McDermott and Mauro Castelli and Pablo Garcia-Sanchez and Paolo Burelli and Sebastian Risi and Kevin Sim editors, 18th European Conference on Genetic Programming, volume 9025, pages 105-112, Copenhagen, 2015. Springer. details

  35. David Medernach and Jeannie Fitzgerald and R. Muhammad Atif Azad and Conor Ryan. Wave: A Genetic Programming Approach to Divide and Conquer. 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 Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 1435-1436, Madrid, Spain, 2015. ACM. details

  36. David Medernach and Jeannie Fitzgerald and R. Muhammad Atif Azad and Conor Ryan. Wave: Incremental Erosion of Residual Error. In Colin Johnson and Krzysztof Krawiec and Alberto Moraglio and Michael O'Neill editors, GECCO 2015 Semantic Methods in Genetic Programming (SMGP'15) Workshop, pages 1285-1292, Madrid, Spain, 2015. ACM. details

  37. Jeannie M. Fitzgerald and Conor Ryan and David Medernach and Krzysztof Krawiec. An Integrated Approach to Stage 1 Breast Cancer Detection. 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 1199-1206, Madrid, Spain, 2015. ACM. details

  38. Jeannie M. Fitzgerald and Conor Ryan. Adjudicated GP: A Behavioural Approach to Selective Breeding. In Juan Julian Merelo and Agostinho Rosa and Jose M. Cadenas and Antonio Dourado Correia and Kurosh Madani and Antonio Ruano and Joaquim Filipe editors, The 7th International Joint Conference on Computational Intelligence (IJCCI 2015), volume 669, pages 135-154, Lisbon, Portugal, 2015. Springer. Revised Selected Papers. details

  39. Jeannie M. Fitzgerald and Conor Ryan. For Sale or Wanted: Directed Crossover in Adjudicated Space. In Agostinho Rosa and Juan Julian Merelo and Antonio Dourado and Jose M. Cadenas and Kurosh Madani and Antonio Ruano and Joaquim Filipe editors, Proceedings of the 7th International Joint Conference on Computational Intelligence, ECTA 2015, volume 1, pages 95-105, Lisbon, Portugal, 2015. SCITEPRESS - Science and Technology Publications. details

  40. Jeannie M. Fitzgerald and R. Muhammad Atif Azad and Conor Ryan. GEML: A Grammatical Evolution, Machine Learning Approach to Multi-class Classification. In Juan Julian Merelo and Agostinho Rosa and Jose M. Cadenas and Antonio Dourado Correia and Kurosh Madani and Antonio Ruano and Joaquim Filipe editors, The 7th International Joint Conference on Computational Intelligence (IJCCI 2015), volume 669, pages 113-134, Lisbon, Portugal, 2015. Springer. Revised Selected Papers. details

  41. Jeannie Fitzgerald and R. Muhammad Atif Azad and Conor Ryan. GEML: Evolutionary Unsupervised and Semi-Supervised Learning of Multi-class Classification with Grammatical Evolution. In Agostinho Rosa and Juan Julian Merelo and Antonio Dourado and Jose M. Cadenas and Kurosh Madani and Antonio Ruano and Joaquim Filipe editors, ECTA. 7th International Conference on Evolutionary Computation Theory and Practice, pages 83-94, Lisbon, Portugal, 2015. SCITEPRESS - Science and Technology Publications. details

  42. Gopinath Chennupati and R. Muhammad Atif Azad and Conor Ryan. Automatic Evolution of Parallel Sorting Programs on Multi-cores. In Antonio M. Mora and Giovanni Squillero editors, 18th European Conference on the Applications of Evolutionary Computation, volume 9028, pages 706-717, Copenhagen, 2015. Springer. details

  43. Gopinath Chennupati and R. Muhammad Atif Azad and Conor Ryan. On the Automatic Generation of Efficient Parallel Iterative Sorting Algorithms. 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 Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 1369-1370, Madrid, Spain, 2015. ACM. details

  44. Gopinath Chennupati and R. Muhammad Atif Azad and Conor Ryan. Synthesis of Parallel Iterative Sorts with Multi-Core Grammatical Evolution. In John Woodward and Daniel Tauritz and Manuel Lopez-Ibanez editors, GECCO 2015 5th Workshop on Evolutionary Computation for the Automated Design of Algorithms (ECADA'15), pages 1059-1066, Madrid, Spain, 2015. ACM. details

  45. Gopinath Chennupati and R. Muhammad Atif Azad and Conor Ryan. Performance Optimization of Multi-Core Grammatical Evolution Generated Parallel Recursive Programs. 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 1007-1014, Madrid, Spain, 2015. ACM. details

  46. Gopinath Chennupati and R. Muhammad Atif Azad and Conor Ryan. Automatic Evolution of Parallel Recursive Programs. In Penousal Machado and Malcolm I. Heywood and James McDermott and Mauro Castelli and Pablo Garcia-Sanchez and Paolo Burelli and Sebastian Risi and Kevin Sim editors, 18th European Conference on Genetic Programming, volume 9025, pages 167-178, Copenhagen, 2015. Springer. details

  47. Conor Ryan and Krzysztof Krawiec and Una-May O'Reilly and Jeannie Fitzgerald and David Medernach. Building a Stage 1 Computer Aided Detector for Breast Cancer using Genetic Programming. 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 162-173, Granada, Spain, 2014. Springer. details

  48. R. Muhammad Atif Azad and Conor Ryan. The Best Things Don't Always Come in Small Packages: Constant Creation in Grammatical Evolution. 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 186-197, Granada, Spain, 2014. Springer. details

  49. Fergal Lane and R. Muhammad Atif Azad and Conor Ryan. On Effective and Inexpensive Local Search Techniques in Genetic Programming. In Thomas Bartz-Beielstein and Juergen Branke and Bogdan Filipic and Jim Smith editors, 13th International Conference on Parallel Problem Solving from Nature, volume 8672, pages 444-453, Ljubljana, Slovenia, 2014. Springer. details

  50. Muhammad Rezaul Karim and Conor Ryan. On improving grammatical evolution performance in symbolic regression with attribute grammar. 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 Comp '14: Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion, pages 139-140, Vancouver, BC, Canada, 2014. ACM. details

  51. Jeannie Fitzgerald and Conor Ryan. Selection Bias and Generalisation Error in Genetic Programming. In David Al-Dabass and Vullnet Ameti and Fauzi Skenderi and Festim Halili editors, Sixth International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN2014, pages 59-64, Tetovo, Macedonia, 2014. details

  52. Jeannie Fitzgerald and Conor Ryan. On size, complexity and generalisation error in GP. 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: Proceedings of the 2014 conference on Genetic and evolutionary computation, pages 903-910, Vancouver, BC, Canada, 2014. ACM. details

  53. Gopinath Chennupati and Jeannie Fitzgerald and Conor Ryan. On The Efficiency of Multi-core Grammatical Evolution (MCGE) Evolving Multi-Core Parallel Programs. In Ana Maria Madureira and Ajith Abraham and Emilio Corchado and Leonilde Varela and Azah Kamilah Muda and Choo yun Huoy editors, Sixth World Congress on Nature and Biologically Inspired Computing, pages 238-243, Porto, Portugal, 2014. IEEE. details

  54. Gopinath Chennupati and R. Muhammad Atif Azad and Conor Ryan. Predict the performance of GE with an ACO based machine learning algorithm. In Steven Gustafson and Ekaterina Vladislavleva editors, GECCO 2014 Workshop on Symbolic Regression and Modelling, pages 1353-1360, Vancouver, BC, Canada, 2014. ACM. details

  55. Gopinath Chennupati and R. Muhammad Atif Azad and Conor Ryan. Multi-core GE: automatic evolution of CPU based multi-core parallel programs. In Tea Tusar and Boris Naujoks editors, GECCO 2014 student workshop, pages 1041-1044, Vancouver, BC, Canada, 2014. ACM. details

  56. Gopinath Chennupati and Conor Ryan and R. Muhammad Atif Azad. Predict the success or failure of an evolutionary algorithm run. 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 Comp '14: Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion, pages 131-132, Vancouver, BC, Canada, 2014. ACM. details

  57. R. Muhammad Atif Azad and David Medernach and Conor Ryan. Efficient Approaches to Interleaved Sampling of training data for Symbolic Regression. In Ana Maria Madureira and Ajith Abraham and Emilio Corchado and Leonilde Varela and Azah Kamilah Muda and Choo yun Huoy editors, Sixth World Congress on Nature and Biologically Inspired Computing, pages 176-183, Porto, Portugal, 2014. IEEE. details

  58. R. Muhammad Atif Azad and David Medernach and Conor Ryan. Efficient interleaved sampling of training data in 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 Comp '14: Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion, pages 127-128, Vancouver, BC, Canada, 2014. ACM. details

  59. Damien Hogan and Tom Arbuckle and Conor Ryan. How Early and with How Little Data? Using Genetic Programing to Evolve Endurance Classifiers for MLC NAND Flash Memory. In Krzysztof Krawiec and Alberto Moraglio and Ting Hu and A. Sima Uyar and Bin Hu editors, Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013, volume 7831, pages 253-264, Vienna, Austria, 2013. Springer Verlag. details

  60. David Medernach and Taras Kowaliw and Conor Ryan and Rene Doursat. Long-term evolutionary dynamics in heterogeneous cellular automata. In Christian Blum and Enrique Alba and Anne Auger and Jaume Bacardit and Josh Bongard and Juergen Branke and Nicolas Bredeche and Dimo Brockhoff and Francisco Chicano and Alan Dorin and Rene Doursat and Aniko Ekart and Tobias Friedrich and Mario Giacobini and Mark Harman and Hitoshi Iba and Christian Igel and Thomas Jansen and Tim Kovacs and Taras Kowaliw and Manuel Lopez-Ibanez and Jose A. Lozano and Gabriel Luque and John McCall and Alberto Moraglio and Alison Motsinger-Reif and Frank Neumann and Gabriela Ochoa and Gustavo Olague and Yew-Soon Ong and Michael E. Palmer and Gisele Lobo Pappa and Konstantinos E. Parsopoulos and Thomas Schmickl and Stephen L. Smith and Christine Solnon and Thomas Stuetzle and El-Ghazali Talbi and Daniel Tauritz and Leonardo Vanneschi editors, GECCO '13: Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference, pages 231-238, Amsterdam, The Netherlands, 2013. ACM. details

  61. Damien Hogan and Tom Arbuckle and Conor Ryan. Estimating MLC NAND flash endurance: a genetic programming based symbolic regression application. In Christian Blum and Enrique Alba and Anne Auger and Jaume Bacardit and Josh Bongard and Juergen Branke and Nicolas Bredeche and Dimo Brockhoff and Francisco Chicano and Alan Dorin and Rene Doursat and Aniko Ekart and Tobias Friedrich and Mario Giacobini and Mark Harman and Hitoshi Iba and Christian Igel and Thomas Jansen and Tim Kovacs and Taras Kowaliw and Manuel Lopez-Ibanez and Jose A. Lozano and Gabriel Luque and John McCall and Alberto Moraglio and Alison Motsinger-Reif and Frank Neumann and Gabriela Ochoa and Gustavo Olague and Yew-Soon Ong and Michael E. Palmer and Gisele Lobo Pappa and Konstantinos E. Parsopoulos and Thomas Schmickl and Stephen L. Smith and Christine Solnon and Thomas Stuetzle and El-Ghazali Talbi and Daniel Tauritz and Leonardo Vanneschi editors, GECCO '13: Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference, pages 1285-1292, Amsterdam, The Netherlands, 2013. ACM. details

  62. Jeannie Fitzgerald and Conor Ryan. Individualized self-adaptive genetic operators with adaptive selection in Genetic Programming. In Simone Ludwig and Patricia Melin and Ajith Abraham and Ana Maria Madureira and Kendall Nygard and Oscar Castillo and Azah Kamilah Muda and Kun Ma and Emilio Corchado editors, 5th World Congress on Nature and Biologically Inspired Computing (NaBIC 2013), pages 232-237, Fargo, USA, 2013. IEEE. details

  63. Jeannie Fitzgerald and Conor Ryan. A Hybrid Approach to the Problem of Class Imbalance. In Radomil Matousek editor, 19th International Conference on Soft Computing, MENDEL 2013, pages 129-137, Brno, Czech Republic, 2013. details

  64. Jeannie Fitzgerald and R. Muhammad Atif Azad and Conor Ryan. A bootstrapping approach to reduce over-fitting in genetic programming. In Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 1113-1120, Amsterdam, The Netherlands, 2013. ACM. details

  65. Jeannie Fitzgerald and R. Muhammad Atif Azad and Conor Ryan. Bootstrapping to reduce bloat and improve generalisation in genetic programming. In Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 141-142, Amsterdam, The Netherlands, 2013. ACM. details

  66. Gopinath Chennupati and Conor Ryan and Raja Muhammad Atif Azad. An Empirical Analysis Through the Time Complexity of GE Problems. In Radomil Matousek editor, 19th International Conference on Soft Computing, MENDEL 2013, pages 37-44, Brno, Czech Republic, 2013. details

  67. Daniel Howard and Conor Ryan. Testing a Novel Attribute Grammar Genetic Programming Algorithm. In Geuk Lee and Daniel Howard and Jeong Jin Kang and Dominik Slezak editors, 6th International Conference Convergence and Hybrid Information Technology, ICHIT 2012, volume 7425, pages 224-231, Daejeon, Korea, 2012. Springer. details

  68. Muhammad Rezaul Karim and Conor Ryan. Sensitive ants are sensible ants. In Terry Soule and Anne Auger and Jason Moore and David Pelta and Christine Solnon and Mike Preuss and Alan Dorin and Yew-Soon Ong and Christian Blum and Dario Landa Silva and Frank Neumann and Tina Yu and Aniko Ekart and Will Browne and Tim Kovacs and Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and Giovanni Squillero and Nicolas Bredeche and Stephen L. Smith and Alison Motsinger-Reif and Jose Lozano and Martin Pelikan and Silja Meyer-Nienberg and Christian Igel and Greg Hornby and Rene Doursat and Steve Gustafson and Gustavo Olague and Shin Yoo and John Clark and Gabriela Ochoa and Gisele Pappa and Fernando Lobo and Daniel Tauritz and Jurgen Branke and Kalyanmoy Deb editors, GECCO '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference, pages 775-782, Philadelphia, Pennsylvania, USA, 2012. ACM. details

  69. Muhammad Karim and Conor Ryan. Degeneracy Reduction or Duplicate Elimination? An Analysis on the Performance of Attributed Grammatical Evolution with Lookahead to Solve the Multiple Knapsack Problem. In David Pelta and Natalio Krasnogor and Dan Dumitrescu and Camelia Chira and Rodica Lung editors, Nature Inspired Cooperative Strategies for Optimization (NICSO 2011), volume 387, pages 247-266, Cluj-Napoca, Romania, 2012. Springer. details

  70. Damien Hogan and Tom Arbuckle and Conor Ryan. Evolving a storage block endurance classifier for Flash memory: A trial implementation. In 11th IEEE International Conference on Cybernetic Intelligent Systems (CIS 2012), pages 12-17, Limerick, 2012. details

  71. Jeannie Fitzgerald and Conor Ryan. Exploring boundaries: optimising individual class boundaries for binary classification problem. In Terry Soule and Anne Auger and Jason Moore and David Pelta and Christine Solnon and Mike Preuss and Alan Dorin and Yew-Soon Ong and Christian Blum and Dario Landa Silva and Frank Neumann and Tina Yu and Aniko Ekart and Will Browne and Tim Kovacs and Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and Giovanni Squillero and Nicolas Bredeche and Stephen L. Smith and Alison Motsinger-Reif and Jose Lozano and Martin Pelikan and Silja Meyer-Nienberg and Christian Igel and Greg Hornby and Rene Doursat and Steve Gustafson and Gustavo Olague and Shin Yoo and John Clark and Gabriela Ochoa and Gisele Pappa and Fernando Lobo and Daniel Tauritz and Jurgen Branke and Kalyanmoy Deb editors, GECCO '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference, pages 743-750, Philadelphia, Pennsylvania, USA, 2012. ACM. details

  72. Muhammad Rezaul Karim and Conor Ryan. A New Approach to Solving 0-1 Multiconstraint Knapsack Problems Using Attribute Grammar with Lookahead. In Sara Silva and James A. Foster and Miguel Nicolau and Mario Giacobini and Penousal Machado editors, Proceedings of the 14th European Conference on Genetic Programming, EuroGP 2011, volume 6621, pages 250-261, Turin, Italy, 2011. Springer Verlag. details

  73. Muhammad Rezaul Karim and Conor Ryan. A Simple Improvement Heuristic for Attributed Grammatical Evolution with Lookahead to Solve the Multiple Knapsack Problem. In Geuk Lee and Daniel Howard and Dominik Slezak editors, Proceedings of the 5th International Conference on Convergence and Hybrid Information Technology, ICHIT 2011, volume 6935, pages 274-281, Daejeon, Korea, 2011. Springer. details

  74. Daniel Howard and Conor Ryan and J. J. Collins. Attribute Grammar Genetic Programming Algorithm for Automatic Code Parallelization. In Geuk Lee and Daniel Howard and Dominik Slezak editors, Proceedings of the 5th International Conference on Convergence and Hybrid Information Technology, ICHIT 2011, volume 6935, pages 250-257, Daejeon, Korea, 2011. Springer. details

  75. Jeannie Fitzgerald and Conor Ryan. Validation Sets, Genetic Programming and Generalisation. In Max Bramer and Miltos Petridis and Lars Nolle editors, Proceedings of the 31st SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI-2011, pages 79-92, Cambridge, England, 2011. Springer. Research and Development in Intelligent Systems XXVIII, Incorporating Applications and Innovations in Intelligent Systems XIX. details

  76. Jeannie Fitzgerald and Conor Ryan. Drawing boundaries: using individual evolved class boundaries for binary classification problems. 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 on Genetic and evolutionary computation, pages 1347-1354, Dublin, Ireland, 2011. ACM. details

  77. Jeannie Fitzgerald and Conor Ryan. Validation Sets for Evolutionary Curtailment with Improved Generalisation. In Geuk Lee and Daniel Howard and Dominik Slezak editors, 5th International Conference on Convergence and Hybrid Information Technology, ICHIT 2011, volume 6935, pages 282-289, Daejeon, Korea, 2011. Springer. details

  78. R. Muhammad Atif Azad and Conor Ryan. Variance based selection to improve test set performance 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 on Genetic and evolutionary computation, pages 1315-1322, Dublin, Ireland, 2011. ACM. details

  79. Conor Ryan. Grammatical evolution tutorial. In Una-May O'Reilly editor, GECCO 2010 Introductory tutorials, pages 2385-2412, Portland, Oregon, USA, 2010. ACM. details

  80. R. Muhammad Atif Azad and Conor Ryan. Abstract functions and lifetime learning in genetic programming for symbolic regression. In Juergen Branke and Martin Pelikan and Enrique Alba and Dirk V. Arnold and Josh Bongard and Anthony Brabazon and Juergen Branke and Martin V. Butz and Jeff Clune and Myra Cohen and Kalyanmoy Deb and Andries P Engelbrecht and Natalio Krasnogor and Julian F. Miller and Michael O'Neill and Kumara Sastry and Dirk Thierens and Jano van Hemert and Leonardo Vanneschi and Carsten Witt editors, GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 893-900, Portland, Oregon, USA, 2010. ACM. details

  81. Dan Costelloe and Conor Ryan. On Improving Generalisation in Genetic Programming. In Leonardo Vanneschi and Steven Gustafson and Alberto Moraglio and Ivanoe De Falco and Marc Ebner editors, Proceedings of the 12th European Conference on Genetic Programming, EuroGP 2009, volume 5481, pages 61-72, Tuebingen, 2009. Springer. details

  82. Gearoid Murphy and Conor Ryan. A Simple Powerful Constraint for Genetic Programming. 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 146-157, Naples, 2008. Springer. details

  83. Fiacc Larkin and Conor Ryan. Good News: Using News Feeds with Genetic Programming to Predict Stock Prices. 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 49-60, Naples, 2008. Springer. details

  84. Adil Raja and R. Muhammad Atif Azad and Colin Flanagan and Conor Ryan. VoIP speech quality estimation in a mixed context with genetic programming. In Maarten Keijzer and Giuliano Antoniol and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Nikolaus Hansen and John H. Holmes and Gregory S. Hornby and Daniel Howard and James Kennedy and Sanjeev Kumar and Fernando G. Lobo and Julian Francis Miller and Jason Moore and Frank Neumann and Martin Pelikan and Jordan Pollack and Kumara Sastry and Kenneth Stanley and Adrian Stoica and El-Ghazali Talbi and Ingo Wegener editors, GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, pages 1627-1634, Atlanta, GA, USA, 2008. ACM. details

  85. Gearoid Murphy and Conor Ryan. Exploiting the path of least resistance in evolution. In Maarten Keijzer and Giuliano Antoniol and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Nikolaus Hansen and John H. Holmes and Gregory S. Hornby and Daniel Howard and James Kennedy and Sanjeev Kumar and Fernando G. Lobo and Julian Francis Miller and Jason Moore and Frank Neumann and Martin Pelikan and Jordan Pollack and Kumara Sastry and Kenneth Stanley and Adrian Stoica and El-Ghazali Talbi and Ingo Wegener editors, GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, pages 1251-1258, Atlanta, GA, USA, 2008. ACM. details

  86. R. Muhammad Atif Azad and Conor Ryan. Gecco 2008 grammatical evolution tutorial. In Marc Ebner and Mike Cattolico and Jano van Hemert and Steven Gustafson and Laurence D. Merkle and Frank W. Moore and Clare Bates Congdon and Christopher D. Clack and Frank W. Moore and William Rand and Sevan G. Ficici and Rick Riolo and Jaume Bacardit and Ester Bernado-Mansilla and Martin V. Butz and Stephen L. Smith and Stefano Cagnoni and Mark Hauschild and Martin Pelikan and Kumara Sastry editors, GECCO-2008 tutorials, pages 2339-2366, Atlanta, GA, USA, 2008. ACM. details

  87. Adil Raja and R. Muhammad Atif Azad and Colin Flanagan and Conor Ryan. Real-Time, Non-Intrusive Evaluation of VoIP. 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 217-228, Valencia, Spain, 2007. Springer. details

  88. A. Raja and R. M. A. Azad and C. Flanagan and C. Ryan. An Evolutionary Approach to Speech Quality Estimation. In Proceedings of the 2007 International Conference Frontiers in the Convergence of Bioscience and Information Technologies (FBIT 2007), pages 757-760, Jeju Island, Korea, 2007. IEEE Press. details

  89. G. Murphy and C. Ryan and D. Howard. [Seeding Methods for Run Transferable Libraries] Capturing Domain Relevant Functionality through Schematic Manipulation for Genetic Programming. In Proceedings of the 2007 International Conference Frontiers in the Convergence of Bioscience and Information Technologies (FBIT 2007), pages 769-772, Jeju Island, Korea, 2007. IEEE Press. details

  90. H. Majeed and C. Ryan. A New Approach to Calculate the Best Context of a Tree and its Application in Defining a Constructive, Context Aware Crossover for GP. In Proceedings of the 2007 International Conference Frontiers in the Convergence of Bioscience and Information Technologies (FBIT 2007), pages 765-768, Jeju Island, Korea, 2007. IEEE Press. details

  91. Dan Costelloe and Conor Ryan. Towards models of user preferences in interactive musical evolution. 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 2254-2254, London, 2007. ACM Press. details

  92. Gearoid Murphy and Conor Ryan. Seeding methods for run transferable libraries. 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 1755-1755, London, 2007. ACM Press. details

  93. Hammad Majeed and Conor Ryan. On the constructiveness of context-aware crossover. 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 1659-1666, London, 2007. ACM Press. details

  94. Hammad Majeed and Conor Ryan. Context-aware mutation: a modular, context aware mutation operator for genetic programming. 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 1651-1658, London, 2007. ACM Press. details

  95. Miguel Nicolau and Conor Ryan. Solving Sudoku with the GAuGE System. 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 213-224, Budapest, Hungary, 2006. Springer. details

  96. Hammad Majeed and Conor Ryan. A Less Destructive, Context-aware Crossover Operator for GP. 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 36-48, Budapest, Hungary, 2006. Springer. details

  97. Adil Raja and R. Muhammad Atif Azad and Colin Flanagan and Dorel Picovici and Conor Ryan. Non-Intrusive Quality Evaluation of VoIP Using Genetic Programming. In 1st Bio-Inspired Models of Network, Information and Computing Systems, pages 1-8, Madonna di Campiglio, 2006. IEEE. details

  98. Hammad Majeed and Conor Ryan. Using context-aware crossover to improve the performance of GP. In Maarten Keijzer and Mike Cattolico and Dirk Arnold and Vladan Babovic and Christian Blum and Peter Bosman and Martin V. Butz and Carlos Coello Coello and Dipankar Dasgupta and Sevan G. Ficici and James Foster and Arturo Hernandez-Aguirre and Greg Hornby and Hod Lipson and Phil McMinn and Jason Moore and Guenther Raidl and Franz Rothlauf and Conor Ryan and Dirk Thierens editors, GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, volume 1, pages 847-854, Seattle, Washington, USA, 2006. ACM Press. details

  99. Christopher R. Stephens and Miguel Nicolau and Conor Ryan. Zero Is not a Four Letter Word: Studies in the Evolution of Language. 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 371-380, Lausanne, Switzerland, 2005. Springer. details

  100. Maarten Keijzer and Conor Ryan and Gearoid Murphy and Mike Cattolico. Undirected Training of Run Transferable Libraries. 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 361-370, Lausanne, Switzerland, 2005. Springer. details

  101. Hammad Majeed and Conor Ryan and R. Muhammad Atif Azad. Evaluating GP schema in context. 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 1773-1774, Washington DC, USA, 2005. ACM Press. details

  102. Eoin Ryan and Atif Azad and Conor Ryan. On the performance of Genetic Operators the Random Key Representation. In Maarten Keijzer and Una-May O'Reilly and Simon M. Lucas and Ernesto Costa and Terence Soule editors, Genetic Programming 7th European Conference, EuroGP 2004, Proceedings, volume 3003, pages 162-173, Coimbra, Portugal, 2004. Springer-Verlag. details

  103. Michael O'Neill and Conor Ryan. grammatical evolution workshop 2004. In R. Poli and S. Cagnoni and M. Keijzer and E. Costa and F. Pereira and G. Raidl and S. C. Upton and D. Goldberg and H. Lipson and E. de Jong and J. Koza and H. Suzuki and H. Sawai and I. Parmee and M. Pelikan and K. Sastry and D. Thierens and W. Stolzmann and P. L. Lanzi and S. W. Wilson and M. O'Neill and C. Ryan and T. Yu and J. F. Miller and I. Garibay and G. Holifield and A. S. Wu and T. Riopka and M. M. Meysenburg and A. W. Wright and N. Richter and J. H. Moore and M. D. Ritchie and L. Davis and R. Roy and M. Jakiela editors, GECCO 2004 Workshop Proceedings, Seattle, Washington, USA, 2004. details

  104. Michael O'Neill and Conor Ryan. Grammatical Evolution by Grammatical Evolution: The Evolution of Grammar and Genetic Code. In Maarten Keijzer and Una-May O'Reilly and Simon M. Lucas and Ernesto Costa and Terence Soule editors, Genetic Programming 7th European Conference, EuroGP 2004, Proceedings, volume 3003, pages 138-149, Coimbra, Portugal, 2004. Springer-Verlag. details

  105. Miguel Nicolau and Conor Ryan. Crossover, Population Dynamics, and Convergence in the GAuGE System. In Kalyanmoy Deb and Riccardo Poli and Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and Paul Darwen and Dipankar Dasgupta and Dario Floreano and James Foster and Mark Harman and Owen Holland and Pier Luca Lanzi and Lee Spector and Andrea Tettamanzi and Dirk Thierens and Andy Tyrrell editors, Genetic and Evolutionary Computation -- GECCO-2004, Part I, volume 3102, pages 1414-1425, Seattle, WA, USA, 2004. Springer-Verlag. details

  106. Miguel Nicolau and Conor Ryan. Efficient Crossover in the GAuGE System. In Maarten Keijzer and Una-May O'Reilly and Simon M. Lucas and Ernesto Costa and Terence Soule editors, Genetic Programming 7th European Conference, EuroGP 2004, Proceedings, volume 3003, pages 125-137, Coimbra, Portugal, 2004. Springer-Verlag. details

  107. Dan Costelloe and Conor Ryan. Genetic Programming for Subjective Fitness Function Identification. In Maarten Keijzer and Una-May O'Reilly and Simon M. Lucas and Ernesto Costa and Terence Soule editors, Genetic Programming 7th European Conference, EuroGP 2004, Proceedings, volume 3003, pages 259-268, Coimbra, Portugal, 2004. Springer-Verlag. details

  108. Conor Ryan and Hammad Majeed and Atif Azad. A Competitive Building Block Hypothesis. In Kalyanmoy Deb and Riccardo Poli and Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and Paul Darwen and Dipankar Dasgupta and Dario Floreano and James Foster and Mark Harman and Owen Holland and Pier Luca Lanzi and Lee Spector and Andrea Tettamanzi and Dirk Thierens and Andy Tyrrell editors, Genetic and Evolutionary Computation -- GECCO-2004, Part II, volume 3103, pages 654-665, Seattle, WA, USA, 2004. Springer-Verlag. details

  109. Conor Ryan and Maarten Keijzer and Miguel Nicolau. On the Avoidance of Fruitless Wraps in Grammatical Evolution. 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 1752-1763, Chicago, 2003. Springer-Verlag. details

  110. Conor Ryan and Maarten Keijzer. An Analysis of Diversity of Constants of Genetic Programming. In Conor Ryan and Terence Soule and Maarten Keijzer and Edward Tsang and Riccardo Poli and Ernesto Costa editors, Genetic Programming, Proceedings of EuroGP'2003, volume 2610, pages 404-413, Essex, 2003. Springer-Verlag. details

  111. Conor Ryan and R. Muhammad Atif Azad. Sensible Initialisation in Chorus. In Conor Ryan and Terence Soule and Maarten Keijzer and Edward Tsang and Riccardo Poli and Ernesto Costa editors, Genetic Programming, Proceedings of EuroGP'2003, volume 2610, pages 394-403, Essex, 2003. Springer-Verlag. details

  112. Conor Ryan and R. Muhammad Atif Azad. Sensible Initialisation in Grammatical Evolution. In Alwyn M. Barry editor, GECCO 2003: Proceedings of the Bird of a Feather Workshops, Genetic and Evolutionary Computation Conference, pages 142-145, Chigaco, 2003. AAAI. details

  113. Michael O'Neill and Ian Dempsey and Anthony Brabazon and Conor Ryan. Analysis of a Digit Concatenation Approach to Constant Creation. In Conor Ryan and Terence Soule and Maarten Keijzer and Edward Tsang and Riccardo Poli and Ernesto Costa editors, Genetic Programming, Proceedings of EuroGP'2003, volume 2610, pages 173-182, Essex, 2003. Springer-Verlag. details

  114. Miguel Nicolau and Anne Auger and Conor Ryan. Functional Dependency and Degeneracy: Detailed Analysis of the GAuGE System. In Pierre Liardet and Pierre Collet and Cyril Fonlupt and Evelyne Lutton and Marc Schoenauer editors, Evolution Artificielle, 6th International Conference, volume 2936, pages 15-26, Marseilles, France, 2003. Springer. Revised Selected Papers. details

  115. Miguel Nicolau and Conor Ryan. How functional dependency adapts to salience hierarchy in the GAuGE system. In Conor Ryan and Terence Soule and Maarten Keijzer and Edward Tsang and Riccardo Poli and Ernesto Costa editors, Genetic Programming, Proceedings of EuroGP'2003, volume 2610, pages 153-163, Essex, 2003. Springer-Verlag. details

  116. R. Muhammad Atif Azad and Conor Ryan. Structural Emergence with Order Independent Representations. 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 1626-1638, Chicago, 2003. Springer-Verlag. details

  117. Miguel Nicolau and Anne Auger and Conor Ryan. Investigating Degenerate Code and Gene Dependency in the GAuGE System. In Alwyn M. Barry editor, GECCO 2003: Proceedings of the Bird of a Feather Workshops, Genetic and Evolutionary Computation Conference, pages 150-157, Chigaco, 2003. AAAI. details

  118. Conor Ryan and Michael O'Neill. How to do Anything With Grammars. In Alwyn M. Barry editor, GECCO 2002: Proceedings of the Bird of a Feather Workshops, Genetic and Evolutionary Computation Conference, pages 116-119, New York, 2002. AAAI. details

  119. Conor Ryan and Miguel Nicolau and Michael O'Neill. Genetic Algorithms Using Grammatical Evolution. 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 278-287, Kinsale, Ireland, 2002. Springer-Verlag. details

  120. Conor Ryan and Atif Azad and Alan Sheahan and Michael O'Neill. No Coercion and No Prohibition, A Position Independent Encoding Scheme for Evolutionary Algorithms---The Chorus System. 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 131-141, Kinsale, Ireland, 2002. Springer-Verlag. details

  121. John O'Sullivan and Conor Ryan. An investigation into the use of different search strategies with Grammatical Evolution. 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 268-277, Kinsale, Ireland, 2002. Springer-Verlag. details

  122. Michael O'Neill and Conor Ryan. Investigations into Memory in Grammatical Evolution. In Alwyn M. Barry editor, GECCO 2002: Proceedings of the Bird of a Feather Workshops, Genetic and Evolutionary Computation Conference, pages 141-144, New York, 2002. AAAI. details

  123. Miguel Nicolau and Conor Ryan. On the use of gene dependency to avoid deceptive traps. In Alwyn M. Barry editor, GECCO 2002: Proceedings of the Bird of a Feather Workshops, Genetic and Evolutionary Computation Conference, pages 124-127, New York, 2002. AAAI. details

  124. Maarten Keijzer and Michael O'Neill and Conor Ryan and Mike Cattolico. Grammatical Evolution Rules: The mod and the Bucket Rule. 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 123-130, Kinsale, Ireland, 2002. Springer-Verlag. details

  125. Daniel Howard and Simon C. Roberts and Conor Ryan. Machine Vision: Exploring Context With Genetic Programming. 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 756-763, New York, 2002. Morgan Kaufmann Publishers. details

  126. Anthony Brabazon and Michael O'Neill and Robin Matthews and Conor Ryan. Grammatical Evolution And Corporate Failure Prediction. 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 1011-1018, New York, 2002. Morgan Kaufmann Publishers. details

  127. Anthony Brabazon and Michael O'Neill and Conor Ryan and Robin Matthews. Evolving classifiers to model the relationship between strategy and corporate performance using grammatical evolution. 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 103-112, Kinsale, Ireland, 2002. Springer-Verlag. details

  128. R. Muhammad Atif Azad and Conor Ryan and Mark E. Burke and Ali R. Ansari. A Re-examination Of The Cart Centering Problem Using The Chorus System. 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 707-715, New York, 2002. Morgan Kaufmann Publishers. details

  129. Daniel Howard and Simon C. Roberts and Conor Ryan. The Boru Data Crawler for Object Detection Tasks in Machine Vision. In Stefano Cagnoni and Jens Gottlieb and Emma Hart and Martin Middendorf and G"unther Raidl editors, Applications of Evolutionary Computing, Proceedings of EvoWorkshops2002: EvoCOP, EvoIASP, EvoSTim/EvoPLAN, volume 2279, pages 222-232, Kinsale, Ireland, 2002. Springer-Verlag. details

  130. Conor Ryan and Michael O'Neill and Atif Azad. No Coercion and No Prohibition - A Position Independent Encoding Scheme for Evolutionary Algorithms. 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), page 187, San Francisco, California, USA, 2001. Morgan Kaufmann. details

  131. Daniel Howard and Simon C. Roberts and Conor Ryan. Evolution of an Object Detection Ant for Image Analysis. In Erik D. Goodman editor, 2001 Genetic and Evolutionary Computation Conference Late Breaking Papers, pages 168-175, San Francisco, California, USA, 2001. details

  132. Michael O'Neill and Anthony Brabazon and Conor Ryan and J. J. Collins. Evolving Market Index Trading Rules using Grammatical Evolution. In Egbert J. W. Boers and Stefano Cagnoni and Jens Gottlieb and Emma Hart and Pier Luca Lanzi and Gunther R. Raidl and Robert E. Smith and Harald Tijink editors, Applications of Evolutionary Computing, volume 2037, pages 343-352, Lake Como, Italy, 2001. Springer-Verlag. details

  133. Michael O'Neill and Conor Ryan and Maarten Keijzer and Mike Cattolico. Crossover in Grammatical Evolution: The Search Continues. 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 337-347, Lake Como, Italy, 2001. Springer-Verlag. details

  134. Michael O'Neill and Conor Ryan and Miguel Nicolau. Grammar Defined Introns: An Investigation Into Grammars, Introns, and Bias in Grammatical Evolution. 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 97-103, San Francisco, California, USA, 2001. Morgan Kaufmann. details

  135. M. Keijzer and V. Babovic and C. Ryan and M. O'Neill and M. Cattolico. Adaptive Logic Programming. 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 42-49, San Francisco, California, USA, 2001. Morgan Kaufmann. details

  136. Maarten Keijzer and Conor Ryan and Michael O'Neill and Mike Cattolico and Vladan Babovic. Ripple Crossover in 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 74-86, Lake Como, Italy, 2001. Springer-Verlag. details

  137. Tony Brabazon and M. O'Neill and C. Ryan and J. J. Collins. Uncovering Technical Trading Rules Using Evolutionary Automatic Programming. In Proceedings of 2001 AAANZ Conference (Accounting Association of Australia and NZ), Auckland, New Zealand, 2001. details

  138. Conor Ryan and Laur Ivan. Paragen - The first results. 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 338-348, Edinburgh, 2000. Springer-Verlag. details

  139. Michael O'Neill and Conor Ryan. Crossover in Grammatical Evolution: A Smooth Operator?. 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 149-162, Edinburgh, 2000. Springer-Verlag. details

  140. Michael O'Neill and Conor Ryan. Incorporating gene expression models into evolutionary algorithms. In Gene Expression: the Missing Link in Evolutionary, pages 167-172, Las Vegas, Nevada, USA, 2000. details

  141. 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

  142. Michael O'Neill and J. J. Collins and Conor Ryan. Automatic Generation of Robot Behaviours using Grammatical Evolution. In Masanori Sugisaka and Hiroshi Tanaka editors, Proceedings of the Fifth International Symposium on Artificial Life and Robotics, pages 351-354, Oita, Japan, 2000. details

  143. Michael O'Neill and Conor Ryan. Grammar based function definition in Grammatical Evolution. 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 485-490, Las Vegas, Nevada, USA, 2000. Morgan Kaufmann. details

  144. Conor Ryan and Laur Ivan. Evolution of Equivalent Parallel Programs: Sequences and Iterative Instructions. In Erick Cantu-Paz and Bill Punch editors, Evolutionary computation and parallel processing, Orlando, Florida, USA, 1999. details

  145. C. Ryan and L. Ivan. Automatic parallelization of sequential programs using genetic programming. In M. Sugisaka editor, Proceedings 4th International Symposium on Artificial Life and Robotics, B-Con Plaza, Beppu, Oita, Japan, 1999. details

  146. Conor Ryan and Laur Ivan. Automatic Parallelization of Arbitrary Programs. In Riccardo Poli and Peter Nordin and William B. Langdon and Terence C. Fogarty editors, Genetic Programming, Proceedings of EuroGP'99, volume 1598, pages 244-254, Goteborg, Sweden, 1999. Springer-Verlag. details

  147. Michael O'Neill and Conor Ryan. Evolving Multi-Line Compilable C Programs. In Riccardo Poli and Peter Nordin and William B. Langdon and Terence C. Fogarty editors, Genetic Programming, Proceedings of EuroGP'99, volume 1598, pages 83-92, Goteborg, Sweden, 1999. Springer-Verlag. details

  148. Michael O'Neill and Conor Ryan. Automatic Generation of High Level Functions using Evolutionary Algorithms. In Conor Ryan and Jim Buckley editors, Proceedings of the 1st International Workshop on Soft Computing Applied to Software Enineering, pages 21-29, University of Limerick, Ireland, 1999. Limerick University Press. details

  149. Michael O'Neill and Conor Ryan. Under the Hood of Grammatical Evolution. 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 1143-1148, Orlando, Florida, USA, 1999. Morgan Kaufmann. details

  150. M. O'Neill and C. Ryan. Genetic Code Degeneracy: Implications for Grammatical Evolution and Beyond. In D. Floreano and J.-D. Nicoud and F. Mondada editors, Advances in Artificial Life, volume 1674, pages 149-153, Lausanne, 1999. Springer Verlag. details

  151. Michael O'Neill and Conor Ryan. Automatic Generation of Caching Algorithms. In Kaisa Miettinen and Marko M. M\"akel\"a and Pekka Neittaanm\"aki and Jacques Periaux editors, Evolutionary Algorithms in Engineering and Computer Science, pages 127-134, Jyv\"askyl\"a, Finland, 1999. John Wiley \& Sons. details

  152. Conor Ryan and Laur Ivan. Evolving Equivalent Parallel Programs: Sequences and Iterative Instructions. In Conor Ryan and Jim Buckley editors, Proceedings of the 1st International Workshop on Soft Computing Applied to Software Engineering, pages 119-128, University of Limerick, Ireland, 1999. Limerick University Press. details

  153. Michael O'Neill and Conor Ryan. Automatic Generation of Programs with Grammatical Evolution. In Derek Bridge and Ruth Byrne and Barry O'Sullivan and Steve Prestwich and Humphrey Sorensen editors, Artificial Intelligence and Cognitive Science AICS 1999, University College Cork, Ireland, 1999. details

  154. Conor Ryan and J. J. Collins and Michael O'Neill. Grammatical Evolution: Evolving Programs for an Arbitrary Language. 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 83-96, Paris, 1998. Springer-Verlag. details

  155. Conor Ryan and Laur Ivan. Automatic Parallelization of Loops in Sequential Programs using 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 344-349, University of Wisconsin, Madison, Wisconsin, USA, 1998. Morgan Kaufmann. details

  156. Conor Ryan and Laur Ivan. Automatic Discovery of Loop Transformations for Autoparallelisation. 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 17-20, Paris, France, 1998. CSRP-98-10, The University of Birmingham, UK. details

  157. Conor Ryan and Michael O'Neill. Grammatical Evolution: A Steady State approach. In John R. Koza editor, Late Breaking Papers at the Genetic Programming 1998 Conference, pages 180-185, University of Wisconsin, Madison, Wisconsin, USA, 1998. Stanford University Bookstore. details

  158. C. Ryan and M. O'Neill and J. J. Collins. Grammatical Evolution: Solving Trigonometric Identities. In In proceedings of Mendel 1998: 4th International Mendel Conference on Genetic Algorithms, Optimisation Problems, Fuzzy Logic, Neural Networks, Rough Sets, pages 111-119, Brno, Czech Republic, 1998. Technical University of Brno, Faculty of Mechanical Engineering. details

  159. Conor Ryan and Michael O'Neill. Grammatical Evolution: A Steady State Approach. In Second International Workshop on Frontiers in Evolutionary Algorithms, volume 2, pages 419-423, Research Triangle Park, NC, USA, 1998. details

  160. Conor Ryan and J. J. Collins and Jim Buckley and Tony Cahill and Niall Griffith and Paddy Healy. Soft Computing And Re-Engineering. In Chris Clack and Kanta Vekaria and Nadav Zin editors, ET'97 Theory and Application of Evolutionary Computation, pages 13-27, University College London, UK, 1997. details

  161. Conor Ryan and Paul Walsh. The Evolution of Provable Parallel Programs. 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 295-302, Stanford University, CA, USA, 1997. Morgan Kaufmann. details

  162. Conor Ryan and Paul Walsh. Paragen II: Evolving Parallel Transformation Rules. In Bernd Reusch editor, 5th Fuzzy Days, Proceedings of the International Conference on Computational Intelligence Theory and Applications, volume 1226, page 573, Dortmund, Germany, 1997. Springer. details

  163. Paul Walsh and Conor Ryan. Paragen: A Novel Technique for the Autoparallelisation of Sequential Programs using 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 406-409, Stanford University, CA, USA, 1996. MIT Press. details

  164. Conor Ryan. GPRobots and GPTeams - Competition, co-evolution and co-operation in Genetic Programming. In E. V. Siegel and J. R. Koza editors, Working Notes for the AAAI Symposium on Genetic Programming, pages 86-93, MIT, Cambridge, MA, USA, 1995. AAAI. details

  165. Paul Walsh and Conor Ryan. Automatic conversion of programs from serial to parallel using Genetic Programming - The Paragen System. In Erik H. D'Hollander and Gerhard R. Joubert and Frans J. Peters and Denis Trystram editors, Proceedings of ParCo'95, volume 11, pages 415-422, Gent, Belgium, 1995. ElsevierNorth-Holland. details

Genetic Programming book chapters by Conor Ryan

  1. Conor Ryan and Michael O'Neill and J. J. Collins. Introduction to 20 Years of Grammatical Evolution. In Conor Ryan and Michael O'Neill and J. J. Collins editors, Handbook of Grammatical Evolution, chapter 1, pages 1-21. Springer, 2018. details

  2. Gopinath Chennupati and R. Muhammad Atif Azad and Conor Ryan and Stephan Eidenbenz and Nandakishore Santhi. Synthesis of Parallel Programs on Multi-Cores. In Conor Ryan and Michael O'Neill and J. J. Collins editors, Handbook of Grammatical Evolution, chapter 12, pages 289-315. Springer, 2018. details

  3. R. Muhammad Atif Azad and Conor Ryan. Comparing Methods to Creating Constants in Grammatical Evolution. In Conor Ryan and Michael O'Neill and J. J. Collins editors, Handbook of Grammatical Evolution, chapter 10, pages 245-262. Springer, 2018. details

  4. Conor Ryan and Jeannie Fitzgerald and Krzysztof Krawiec and David Medernach. Image Classification with Genetic Programming: Building a Stage 1 Computer Aided Detector for Breast Cancer. In Amir H. Gandomi and Amir H. Alavi and Conor Ryan editors, Handbook of Genetic Programming Applications, chapter 10, pages 245-287. Springer, 2015. details

  5. Amir H. Gandomi and Amir H. Alavi and Conor Ryan. Foreword. In Amir H. Gandomi and Amir H. Alavi and Conor Ryan editors, Handbook of Genetic Programming Applications. Springer, 2015. details

  6. James Vincent Patten and Conor Ryan. Procedural Content Generation for Games Using Grammatical Evolution and Attribute Grammars. In Caroline Martell editor, Advances in Game Design and Development Research, chapter 7, pages 97-108. Nova Science Publishers Inc, 2014. details

  7. Conor Ryan and Joe Sullivan and Barry Fitzgerald. Grounded Simulation: Using Simulated Evolution to Guide Embodied Evolution. In Rick Riolo and Jason H. Moore and Mark Kotanchek editors, Genetic Programming Theory and Practice XI, chapter 5, pages 85-100. Springer, Ann Arbor, USA, 2013. details

  8. Gearoid Murphy and Conor Ryan. Manipulation of Convergence in Evolutionary Systems. In Rick L. Riolo and Terence Soule and Bill Worzel editors, Genetic Programming Theory and Practice V, chapter 3, pages 33-52. Springer, Ann Arbor, 2007. details

  9. Hammad Majeed and Conor Ryan. A re-examination of a real world blood flow modeling problem using context-aware crossover. 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 279-298. Springer, Ann Arbor, 2006. details

  10. R. Muhammad Atif Azad and Conor Ryan. An Examination of Simultaneous Evolution of Grammars and Solutions. In Tina Yu and Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice III, volume 9 of Genetic Programming, chapter 10, pages 141-158. Kluwer, Ann Arbor, 2005. details

  11. Conor Ryan and Maarten Keijzer and Mike Cattolico. Favorable Biasing of Function Sets Using Run Transferable Libraries. In Una-May O'Reilly and Tina Yu and Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice II, chapter 7, pages 103-120. Springer, Ann Arbor, 2004. details

  12. Conor Ryan and Miguel Nicolau. Doing Genetic Algorithms the Genetic Programming Way. In Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice, chapter 12, pages 189-204. Kluwer, 2003. details

  13. Michael O'Neill and Anthony Brabazon and Conor Ryan. Forecasting Market Indices Using Evolutionary Automatic Programming. In Shu-Heng Chen editor, Genetic Algorithms and Genetic Programming in Computational Finance, chapter 8, pages 175-195. Kluwer Academic Press, 2002. details

  14. Conor Ryan and Laur Ivan. An Automatice Software Re-Engineering Tool based on 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 2, pages 15-39. MIT Press, Cambridge, MA, USA, 1999. details

  15. Conor Ryan. Pygmies and Civil Servants. In Kenneth E. Kinnear, Jr. editor, Advances in Genetic Programming, chapter 11, pages 243-263. MIT Press, 1994. details