Genetic Programming Bibliography entries for Jano I van Hemert

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.8010

GP coauthors/coeditors: Jurgen Branke, Martin Pelikan, Enrique Alba, Dirk V Arnold, Josh C Bongard, Anthony Brabazon, Martin V Butz, Jeff Clune, Myra B Cohen, Kalyanmoy Deb, Andries P Engelbrecht, Natalio Krasnogor, Julian F Miller, Michael O'Neill, Kumara Sastry, Dirk Thierens, Leonardo Vanneschi, Carsten Witt, Jeroen Eggermont, Gusz Eiben, M L M Jansen, Clarissa Van Hoyweghen, Eduard Lukschandl, Katja Verbeeck, Maarten Keijzer, Andrea G B Tettamanzi, Pierre Collet, Marco Tomassini, Gunther R Raidl, Franz Rothlauf, Giovanni Squillero, Rolf Drechsler, Thomas Stuetzle, Mauro Birattari, Clare Bates Congdon, Martin Middendorf, Christian Blum, Carlos Cotta, Peter A N Bosman, Joern Grahl, Joshua D Knowles, David W Corne, Hans-Georg Beyer, Kenneth O Stanley, Tom Lenaerts, Marc Ebner, Jaume Bacardit, Massimiliano Di Penta, Benjamin Doerr, Thomas Jansen, Riccardo Poli,

Genetic Programming Conference proceedings edited by Jano I van Hemert

Genetic Programming conference papers by Jano I van Hemert

  1. J. I. van Hemert and M. L. M. Jansen. An Engineering Approach to Evolutionary Art. 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 177, San Francisco, California, USA, 2001. Morgan Kaufmann. details

  2. Jeroen Eggermont and Jano I. van Hemert. Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems. 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 23-35, Lake Como, Italy, 2001. Springer-Verlag. details

  3. J. Eggermont and J. I. van Hemert. Stepwise Adaptation of Weights for Symbolic Regression with Genetic Programming. In Antal van den Bosch and Hans Weigand editors, Proceedings of the Twelveth Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'00), pages 259-266, De Efteling, Kaatsheuvel, Holland, 2000. details

  4. 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

  5. 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

  6. 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

Genetic Programming technical reports by Jano I van Hemert