Genetic Programming Bibliography entries for Jeroen Eggermont

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GP coauthors/coeditors: Gusz Eiben, Jano I van Hemert, Tom Lenaerts, Sanna Poyhonen, Alexandre Termier, Joost Kok, Walter A Kosters, Alain Racine,

Genetic Programming Articles by Jeroen Eggermont

• Jeroen Eggermont. Juan Romero and Penousal Machado (eds): The Art of Artificial Evolution: A Handbook on Evolutionary Art and Music Natural Computing Series, Springer Science+Business Media, 2008, 460 pp, 169 illustrations, 91 in colour, Hard Cover with DVD, ISBN: 978-3-540-72876-4. Genetic Programming and Evolvable Machines, 10(1):95-96, 2009. details

• Alain Racine and Jeroen Eggermont. EvoRobot Workshop report. EvoNEWS, 11:13, 1999. details

Genetic Programming PhD doctoral thesis Jeroen Eggermont

• Jeroen Eggermont. Data Mining using Genetic Programming: Classification and Symbolic Regression. PhD thesis, Institute for Programming research and Algorithmics, Leiden Institute of Advanced Computer Science, Faculty of Mathematics \& Natural Sciences, Leiden University, The Netherlands, 2005. details

Genetic Programming conference papers by Jeroen Eggermont

1. Jeroen Eggermont and Joost N. Kok and Walter A. Kosters. Genetic Programming for Data Classification: Partitioning the Search Space. In Proceedings of the 2004 Symposium on applied computing (ACM SAC'04), pages 1001-1005, Nicosia, Cyprus, 2004. details

2. Jeroen Eggermont and Joost N. Kok and Walter A. Kosters. Detecting and Pruning Introns for Faster Decision Tree Evolution. In Xin Yao and Edmund Burke and Jose A. Lozano and Jim Smith and Juan J. Merelo-Guerv\'os and John A. Bullinaria and Jonathan Rowe and Peter Ti\vno Ata Kab\'an and Hans-Paul Schwefel editors, Parallel Problem Solving from Nature - PPSN VIII, volume 3242, pages 1071-1080, Birmingham, UK, 2004. Springer-Verlag. details

3. J. Eggermont and J. N. Kok and W. A. Kosters. Genetic Programming for Data Classification: Refining the Search Space. In T. Heskes and P. Lucas and L. Vuurpijl and W. Wiegerinck editors, Proceedings of the Fivteenth Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'03), pages 123-130, Nijmegen, The Netherlands, 2003. details

4. Jeroen Eggermont. Evolving Fuzzy Decision Trees with Genetic Programming and Clustering. 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 71-82, Kinsale, Ireland, 2002. Springer-Verlag. details

5. J. Eggermont and T. Lenaerts. Dynamic Optimization using Evolutionary Algorithms with a Case-based Memory. In Hendrik Blockeel and Marc Denecker editors, Proceedings of the 14th Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'02), Leuven, Belgium, 2002. details

6. J. Eggermont. Evolving Fuzzy Decision Trees for Data Classification. In Hendrik Blockeel and Marc Denecker editors, Proceedings of the 14th Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'02), pages 417-418, Leuven, Belgium, 2002. details

7. 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

8. Jeroen Eggermont and Tom Lenaerts and Sanna Poyhonen and Alexandre Termier. Raising the Dead: Extending Evolutionary Algorithms with a Case-based Memory. 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 280-290, Lake Como, Italy, 2001. Springer-Verlag. details

9. 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

10. 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

11. 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

12. 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