Dynamic Optimization using Evolutionary Algorithms with a Case-based Memory

Created by W.Langdon from gp-bibliography.bib Revision:1.8633

@InProceedings{EL02,

• author = "J. Eggermont and T. Lenaerts",
• title = "Dynamic Optimization using Evolutionary Algorithms with a Case-based Memory",
• booktitle = "Proceedings of the 14th Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'02)",
• year = "2002",
• editor = "Hendrik Blockeel and Marc Denecker",
• address = "Leuven, Belgium",
• month = "21-22 " # oct,
• organisation = "BNVKI, Dutch and the Belgian AI Association",
• keywords = "genetic algorithms, genetic programming, evolutionary algorithms",
• URL = "http://www.liacs.nl/~jeggermo/publications/bnaic02-dynamic.ps.gz",
• size = "8 pages",
• abstract = "Dynamic environments form a dicult class of problems for evolutionary algorithms to solve. In this paper we propose a new evolutionary algorithm for this class in which we combine a case-based memory with a meta-learner.",
• notes = "http://www.cs.kuleuven.ac.be/conference/bnaic02/

  Katholieke Universiteit Leuven and Universite Libre de Bruxelles in collaboration with PharmaDM and under the auspices of BNVKI/AIABN (the Belgian-Dutch Association for Artificial Intelligence), SIKS (School for Information and Knowledge Systems), and SNN (the Foundation for Neural Networks).",

}

Genetic Programming entries for Jeroen Eggermont Tom Lenaerts

Citations