Raising the Dead: Extending Evolutionary Algorithms with a Case-based Memory
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @InProceedings{eggermont:2001:EuroGP_dead,
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author = "Jeroen Eggermont and Tom Lenaerts and
Sanna Poyhonen and Alexandre Termier",
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title = "Raising the Dead: Extending Evolutionary Algorithms
with a Case-based Memory",
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booktitle = "Genetic Programming, Proceedings of EuroGP'2001",
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year = "2001",
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editor = "Julian F. Miller and Marco Tomassini and
Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and
William B. Langdon",
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volume = "2038",
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series = "LNCS",
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pages = "280--290",
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address = "Lake Como, Italy",
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publisher_address = "Berlin",
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month = "18-20 " # apr,
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organisation = "EvoNET",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming, Dynamic
Fitness, Global Memory: Poster",
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ISBN = "3-540-41899-7",
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URL = "http://www.liacs.nl/~jeggermo/publications/eurogp2001-dynamic.ps.gz",
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URL = "http://www.lri.fr/~termier/publis/eurogp2001-dynamic.ps.gz",
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DOI = "doi:10.1007/3-540-45355-5_22",
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size = "11 pages",
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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.",
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notes = "EuroGP'2001, part of \cite{miller:2001:gp}",
- }
Genetic Programming entries for
Jeroen Eggermont
Tom Lenaerts
Sanna Poyhonen
Alexandre Termier
Citations