Genetic Programming Bibliography entries for Brad Alexander

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GP coauthors/coeditors: Thomas Ackling, Ian Grunert, Michael Gratton, Brad Zacher, Connie Pyromallis, George Lorenzetti, Mahmoud A Bokhari, Bobby R Bruce, Markus Wagner, Alexander E I Brownlee, Justyna Petke, Earl Barr, David Robert White, Saemundur Oskar Haraldsson, John R Woodward, Mohd Faisal Ibrahim, William B Langdon,

Genetic Programming Articles by Brad Alexander

Genetic Programming conference papers by Brad Alexander

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

  2. Saemundur Haraldsson and Alexander Brownlee and John R. Woodward and Markus Wagner and Bradley Alexander. Genetic improvement: taking real-world source code and improving it using genetic programming. In Gisele L. Pappa editor, Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, pages 786-817, internet, 2021. Association for Computing Machinery. details

  3. Mahmoud A. Bokhari and Markus Wagner and Brad Alexander. Genetic Improvement of Software Efficiency: The Curse of Fitness Estimation. In Brad Alexander and Alexander (Sandy) Brownlee and Saemundur O. Haraldsson and Markus Wagner and John R. Woodward editors, 9th edition of GI @ GECCO 2020, pages 1926-1927, Internet, 2020. ACM. details

  4. Mahmoud A. Bokhari and Brad Alexander and Markus Wagner. Towards Rigorous Validation of Energy Optimisation Experiments. 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 1232-1240, internet, 2020. Association for Computing Machinery. details

  5. Justyna Petke and Brad Alexander and Earl T. Barr and Alexander E. I. Brownlee and Markus Wagner and David R. White. A Survey of Genetic Improvement Search Spaces. In Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and John R. Woodward editors, 7th edition of GI @ GECCO 2019, pages 1715-1721, Prague, Czech Republic, 2019. ACM. details

  6. Alexander E. I. Brownlee and Justyna Petke and Brad Alexander and Earl T. Barr and Markus Wagner and David R. White. Gin: genetic improvement research made easy. In Manuel Lopez-Ibanez and Thomas Stuetzle and Anne Auger and Petr Posik and Leslie Peprez Caceres and Andrew M. Sutton and Nadarajen Veerapen and Christine Solnon and Andries Engelbrecht and Stephane Doncieux and Sebastian Risi and Penousal Machado and Vanessa Volz and Christian Blum and Francisco Chicano and Bing Xue and Jean-Baptiste Mouret and Arnaud Liefooghe and Jonathan Fieldsend and Jose Antonio Lozano and Dirk Arnold and Gabriela Ochoa and Tian-Li Yu and Holger Hoos and Yaochu Jin and Ting Hu and Miguel Nicolau and Robin Purshouse and Thomas Baeck and Justyna Petke and Giuliano Antoniol and Johannes Lengler and Per Kristian Lehre editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference, pages 985-993, Prague, Czech Republic, 2019. ACM. details

  7. Mahmoud A. Bokhari and Markus Wagner and Brad Alexander. The Quest for Non-Functional Property Optimisation in Heterogeneous and Fragmented Ecosystems: a Distributed Approach. In Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and John R. Woodward editors, 7th edition of GI @ GECCO 2019, pages 1705-1706, Prague, Czech Republic, 2019. ACM. details

  8. Mahmoud A. Bokhari and Brad Alexander and Markus Wagner. In-Vivo and Offline Optimisation of Energy Use in the Presence of Small Energy Signals: A Case Study on a Popular Android Library. In Henning Schulzrinne and Pan Li editors, Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2018, pages 207-215, New York, 2018. ACM. details

  9. Mahmoud A. Bokhari and Bobby R. Bruce and Brad Alexander and Markus Wagner. Deep Parameter Optimisation on Android Smartphones for Energy Minimisation - A Tale of Woe and a Proof-of-Concept. In Justyna Petke and David R. White and W. B. Langdon and Westley Weimer editors, GI-2017, pages 1501-1508, Berlin, 2017. ACM. details

  10. Brad Alexander and Connie Pyromallis and George Lorenzetti and Brad Zacher. Using Scaffolding with Partial Call-Trees to Improve Search. In Julia Handl and Emma Hart and Peter R. Lewis and Manuel Lopez-Ibanez and Gabriela Ochoa and Ben Paechter editors, 14th International Conference on Parallel Problem Solving from Nature, volume 9921, pages 324-334, Edinburgh, 2016. Springer. details

  11. Brad Alexander and Brad Zacher. Boosting Search for Recursive Functions Using Partial Call-Trees. In Thomas Bartz-Beielstein and Juergen Brank and Jim Smith editors, 13th International Conference on Parallel Problem Solving from Nature, volume 8672, pages 384-393, Ljubljana, Slovenia, 2014. Springer. details

  12. Mohd Faisal Ibrahim and Bradley James Alexander. Evolving decision-making functions in an autonomous robotic exploration strategy using grammatical evolution. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013), pages 4340-4346, 2013. IEEE. details

  13. Mohd Faisal Ibrahim and Bradley Alexander. Evolving a Path Planner for A Multi-Robot Exploration System Using Grammatical Evolution. In D. Nandagopal and M. Palaniswami editors, Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2011, pages 590-595, Adelaide, Australia, 2011. IEEE. details

  14. Thomas Ackling and Bradley Alexander and Ian Grunert. Evolving patches for software repair. 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 1427-1434, Dublin, Ireland, 2011. ACM. details

  15. B. J. Alexander and M. J. Gratton. Constructing an Optimisation Phase Using Grammatical Evolution. In Andy Tyrrell editor, 2009 IEEE Congress on Evolutionary Computation, pages 1209-1216, Trondheim, Norway, 2009. IEEE Press. details

Genetic Programming book chapters by Brad Alexander

Genetic Programming other entries for Brad Alexander