Genetic Programming Bibliography entries for Alexander E I Brownlee

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GP coauthors/coeditors: Nathan Burles, Jerry Swan, John R Woodward, Nadarajen Veerapen, Justyna Petke, Brad Alexander, Earl Barr, Markus Wagner, David Robert White, Edward Bowles, Zoltan Kocsis, Saemundur Oskar Haraldsson, David Cairns, Kristin Siggeirsdottir, Albert V Smith, Vilmundur Gudnason, Geoffrey K Neumann, Michael G Epitropakis, Colin G Johnson,

Genetic Programming Articles by Alexander E I Brownlee

Genetic Programming conference papers by Alexander E I Brownlee

  1. Justyna Petke and Alexander Brownlee. Software Improvement with Gin: a Case Study. In Shiva Nejati and Gregory Gay editors, SSBSE 2019, volume 11664, pages 183-189, Tallinn, Estonia, 2019. Springer. details

  2. 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

  3. 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

  4. Alexander E. I. Brownlee and John R. Woodward and Nadarajen Veerapen. Relating training instances to automatic design of algorithms for bin packing via features. In Carlos Cotta and Tapabrata Ray and Hisao Ishibuchi and Shigeru Obayashi and Bogdan Filipic and Thomas Bartz-Beielstein and Grant Dick and Masaharu Munetomo and Silvino Fernandez Alzueta and Thomas Stuetzle and Pablo Valledor Pellicer and Manuel Lopez-Ibanez and Daniel R. Tauritz and Pietro S. Oliveto and Thomas Weise and Borys Wrobel and Ales Zamuda and Anne Auger and Julien Bect and Dimo Brockhoff and Nikolaus Hansen and Rodolphe Le Riche and Victor Picheny and Bilel Derbel and Ke Li and Hui Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Stephane Doncieux and Richard Duro and Joshua Auerbach and Harold de Vladar and Antonio J. Fernandez-Leiva and JJ Merelo and Pedro A. Castillo-Valdivieso and David Camacho-Fernandez and Francisco Chavez de la O and Ozgur Akman and Khulood Alyahya and Juergen Branke and Kevin Doherty and Jonathan Fieldsend and Giuseppe Carlo Marano and Nikos D. Lagaros and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Boris Naujoks and Vanessa Volz and Tea Tusar and Pascal Kerschke and Riyad Alshammari and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and John R. Woodward and Shin Yoo and John McCall and Nayat Sanchez-Pi and Luis Marti and Danilo Vasconcellos and Masaya Nakata and Anthony Stein and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Ivanoe De Falco and Antonio Della Cioppa and Ernesto Tarantino and Umberto Scafuri and P. G. M. Baltus and Giovanni Iacca and Ahmed Hallawa and Anil Yaman and Alma Rahat and Handing Wang and Yaochu Jin and David Walker and Richard Everson and Akira Oyama and Koji Shimoyama and Hemant Kumar and Kazuhisa Chiba and Pramudita Satria Palar editors, GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 135-136, Kyoto, Japan, 2018. ACM. details

  5. Saemundur O. Haraldsson and John R. Woodward and Alexander E. I. Brownlee and Albert V. Smith and Vilmundur Gudnason. Genetic Improvement of Runtime in a Bioinformatics Application. In Justyna Petke and David R. White and W. B. Langdon and Westley Weimer editors, GI-2017, Berlin, 2017. details

  6. Saemundur Oskar Haraldsson and John R. Woodward and Alexander E. I. Brownlee. The Use of Automatic Test Data Generation for Genetic Improvement in a Live System. In Juan P. Galeotti and Justyna Petke editors, Search-Based Software Testing, pages 28-31, Buenos Aires, Argentina, 2017. details

  7. Saemundur O. Haraldsson and John R. Woodward and Alexander E. I. Brownlee and Kristin Siggeirsdottir. Fixing Bugs in Your Sleep: How Genetic Improvement Became an Overnight Success. In Justyna Petke and David R. White and W. B. Langdon and Westley Weimer editors, GI-2017, pages 1513-1520, Berlin, 2017. ACM. Best paper. details

  8. Saemundur O. Haraldsson and John R. Woodward and Alexander E. I. Brownlee and David Cairns. Exploring Fitness and Edit Distance of Mutated Python Programs. In Mauro Castelli and James McDermott and Lukas Sekanina editors, EuroGP 2017: Proceedings of the 20th European Conference on Genetic Programming, volume 10196, pages 19-34, Amsterdam, 2017. Springer Verlag. details

  9. John Woodward and Alexander Brownlee and Colin Johnson. Evals is not enough: why we should report wall-clock time. In Justyna Petke and David R. White and Westley Weimer editors, Genetic Improvement 2016 Workshop, pages 1157-1158, Denver, 2016. ACM. details

  10. John Woodward and Colin Johnson and Alexander Brownlee. GP vs GI: if you can't beat them, join them. In Justyna Petke and David R. White and Westley Weimer editors, Genetic Improvement 2016 Workshop, pages 1155-1156, Denver, 2016. ACM. details

  11. John R. Woodward and Colin G. Johnson and Alexander E. I. Brownlee. Connecting Automatic Parameter Tuning, Genetic Programming as a Hyper-heuristic, and Genetic Improvement Programming. In GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 1357-1358, Denver, Colorado, USA, 2016. ACM. details

  12. Nathan Burles and Jerry Swan and Edward Bowles and Alexander E. I. Brownlee and Zoltan A. Kocsis and Nadarajen Veerapen. Embedded Dynamic Improvement. In William B. Langdon and Justyna Petke and David R. White editors, Genetic Improvement 2015 Workshop, pages 831-832, Madrid, 2015. ACM. details

  13. Nathan Burles and Edward Bowles and Alexander E. I. Brownlee and Zoltan A. Kocsis and Jerry Swan and Nadarajen Veerapen. Object-Oriented Genetic Improvement for Improved Energy Consumption in Google Guava. In Yvan Labiche and Marcio Barros editors, SSBSE, volume 9275, pages 255-261, Bergamo, Italy, 2015. Springer. details

  14. Zoltan A. Kocsis and Geoff Neumann and Jerry Swan and Michael G. Epitropakis and Alexander E. I. Brownlee and Saemundur O. Haraldsson and Edward Bowles. Repairing and Optimizing Hadoop hashCode Implementations. In Claire Le Goues and Shin Yoo editors, Proceedings of the 6th International Symposium, on Search-Based Software Engineering, SSBSE 2014, volume 8636, pages 259-264, Fortaleza, Brazil, 2014. Springer. details