Raising the Dead: Extending Evolutionary Algorithms with a Case-based Memory

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{eggermont:2001:EuroGP_dead,

• author = "Jeroen Eggermont and Tom Lenaerts and Sanna Poyhonen and Alexandre Termier",
• title = "Raising the Dead: Extending Evolutionary Algorithms with a Case-based Memory",
• booktitle = "Genetic Programming, Proceedings of EuroGP'2001",
• year = "2001",
• editor = "Julian F. Miller and Marco Tomassini and Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and William B. Langdon",
• volume = "2038",
• series = "LNCS",
• pages = "280--290",
• address = "Lake Como, Italy",
• publisher_address = "Berlin",
• month = "18-20 " # apr,
• organisation = "EvoNET",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming, Dynamic Fitness, Global Memory: Poster",
• ISBN = "3-540-41899-7",
• URL = "http://www.liacs.nl/~jeggermo/publications/eurogp2001-dynamic.ps.gz",
• URL = "http://www.lri.fr/~termier/publis/eurogp2001-dynamic.ps.gz",
• DOI = "doi:10.1007/3-540-45355-5_22",
• size = "11 pages",
• abstract = "In dynamically changing environments, the performance of a standard evolutionary algorithm deteriorates. This is due to the fact that the population, which is considered to contain the history of the evolutionary process, does not contain enough information to allow the algorithm to react adequately to changes in the fitness landscape. Therefore, we added a simple, global case-based memory to the process to keep track of interesting historical events. Through the introduction of this memory and a storing and replacement scheme we were able to improve the reaction capabilities of an evolutionary algorithm with a periodically changing fitness function.",
• notes = "EuroGP'2001, part of \cite{miller:2001:gp}",

}

Genetic Programming entries for Jeroen Eggermont Tom Lenaerts Sanna Poyhonen Alexandre Termier

Citations