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

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@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",
  URL =          "http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2038&spage=280",
  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