Genetic Programming Bibliography entries for Gusz Eiben

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GP coauthors/coeditors: Wolfgang Banzhaf, Jason M Daida, Max H Garzon, Vasant Honavar, Mark Jakiela, Robert E Smith, Lashon B Booker, David B Fogel, L Darrell Whitley, Peter John Angeline, Nicolas Bredeche, Evert Haasdijk, Eelco den Heijer, Jeroen Eggermont, Jano I van Hemert, T J Euverman, W Kowalczyk, E Peelen, F Slisser, J A M Wesseling, A E Koudijs, Marc Schoenauer, James Smith, Joeri Bekker, Robert Griffioen, Emma Hart, Selmar Kagiso Smit, Paul A Vogt, Natalio Krasnogor, Pier Luca Lanzi, Andries P Engelbrecht, David A Pelta, Carlos Gershenson, Giovanni Squillero, Alex Alves Freitas, Marylyn D Ritchie, Mike Preuss, Christian Gagne, Yew-Soon Ong, Gunther R Raidl, Marcus Gallager, Jose A Lozano, Carlos Artemio Coello Coello, Dario Landa-Silva, Nikolaus Hansen, Silja Meyer-Nieberg, Ester Bernado-Mansilla, Will N Browne, Lee Spector, Tina Yu, Jeff Clune, Gregory S Hornby, Man Leung Wong, Pierre Collet, Steven M Gustafson, Jean-Paul Watson, Moshe Sipper, Simon M Poulding, Gabriela Ochoa, Carsten Witt, Anne Auger, Karine da Silva Miras de Araujo, Kyrre Harald Glette, Joerg Stork, Martin Zaefferer, Thomas Bartz-Beielstein,

Genetic Programming Articles by Gusz Eiben

  1. Eelco Den Heijer and A. E. Eiben. Using scalable vector graphics to evolve art. Int. J. of Arts and Technology, 9(1):59-85, 2016. details

  2. Agoston E. Eiben and Jim Smith. From evolutionary computation to the evolution of things. Nature, 521(7553):476-482, 2015. details

  3. Eelco den Heijer and A. E. Eiben. Investigating aesthetic measures for unsupervised evolutionary art. Swarm and Evolutionary Computation, 16:52-68, 2014. details

  4. A. E. Eiben and M. Schoenauer. Evolutionary computing. Information Processing Letters, 82(1):1-6, 2002. details

Genetic Programming Books by Gusz Eiben

Genetic Programming Conference proceedings edited by Gusz Eiben

Genetic Programming conference papers by Gusz Eiben

  1. A. E. Eiben and Emma Hart. If It Evolves It Needs to Learn. 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, page 1383–1384, internet, 2020. Association for Computing Machinery. details

  2. Joerg Stork and Martin Zaefferer and Thomas Bartz-Beielstein and A. E. Eiben. Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning. 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 934-942, Prague, Czech Republic, 2019. ACM. details

  3. Karine Miras and Evert Haasdijk and Kyrre Glette and A. E. Eiben. Search Space Analysis of Evolvable Robot Morphologies. In Kyrre Glette and Julien Hubert editors, 21st International Conference on the Applications of Evolutionary Computation, EvoROBOT 2018, volume 10784, pages 703-718, Parma, Italy, 2018. Springer. details

  4. Eelco den Heijer and Agoston Endre Eiben. Evolving art with scalable vector graphics. 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 427-434, Dublin, Ireland, 2011. ACM. details

  5. Eelco den Heijer and A. E. Eiben. Using aesthetic measures to evolve art. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details

  6. E. den Heijer and A. E. Eiben. Comparing Aesthetic Measures for Evolutionary Art. In Cecilia Di Chio and Anthony Brabazon and Gianni A. Di Caro and Marc Ebner and Muddassar Farooq and Andreas Fink and Jorn Grahl and Gary Greenfield and Penousal Machado and Michael O'Neill and Ernesto Tarantino and Neil Urquhart editors, EvoMUSART, volume 6025, pages 311-320, Istanbul, 2010. Springer. details

  7. N. Bredeche and E. Haasdijk and A. E. Eiben. On-Line, On-Board Evolution of Robot Controllers. In Pierre Collet and Nicolas Monmarche and Pierrick Legrand and Marc Schoenauer and Evelyne Lutton editors, 9th International Conference, Evolution Artificielle, EA 2009, volume 5975, pages 110-121, Strasbourg, France, 2009. Springer. Revised Selected Papers. details

  8. E. Haasdijk and P. Vogt and A. E. Eiben. Social Learning in Population-Based Adaptive Systems. In Jun Wang editor, 2008 IEEE World Congress on Computational Intelligence, pages 1386-1392, Hong Kong, 2008. IEEE Press. details

  9. A. R. Griffioen and S. K. Smit and A. E. Eiben. Learning Benefits Evolution if Sex Gives Pleasure. In Jun Wang editor, 2008 IEEE World Congress on Computational Intelligence, pages 2073-2080, Hong Kong, 2008. IEEE Press. details

  10. Gusz Eiben and Joeri Bekker and Robert Griffioen and Evert Haasdijk. Balancing quality and quantity in evolving agent systems. 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 1, pages 335-335, London, 2007. ACM Press. details

  11. J. Eggermont and A. E. Eiben and J. I. van Hemert. Adapting the Fitness Function in GP for Data Mining. In Riccardo Poli and Peter Nordin and William B. Langdon and Terence C. Fogarty editors, Genetic Programming, Proceedings of EuroGP'99, volume 1598, pages 193-202, Goteborg, Sweden, 1999. Springer-Verlag. details

  12. J. Eggermont and A. E. Eiben and J. I. van Hemert. A comparison of genetic programming variants for data classification. In Eric Postma and Marc Gyssens editors, Proceedings of the Eleventh Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'99), pages 253-254, Kasteel Vaeshartelt, Maastricht, Holland, 1999. details

  13. Jeroen Eggermont and Agoston E. Eiben and Jano I. van Hemert. A comparison of genetic programming variants for data classification. In David J. Hand and Joost N. Kok and Michael R. Berthold editors, Advances in Intelligent Data Analysis, Third International Symposium, IDA-99, volume 1642, pages 281-290, Amsterdam, The Netherlands, 1999. Springer-Verlag. details

  14. A. E. Eiben and A. E. Koudijs and F. Slisser. Genetic Modelling of Customer Retention. 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 178-186, Paris, 1998. Springer-Verlag. details

  15. A. E. Eiben and T. J. Euverman and W. Kowalczyk and E. Peelen and F. Slisser and J. A. M. Wesseling. Comparing Adaptive and Traditional Techniques for Direct Marketing. In H.-J. Zimmermann editor, Proceedings of the 4th European Congress on Intelligent Techniques and Soft Computing, pages 434-437, 1996. Verlag Mainz. details

Genetic Programming book chapters by Gusz Eiben

Genetic Programming etc Gusz Eiben