Cultural algorithms: Less is more

E. Almirall*, Ulises Cortés

*Corresponding author for this work

Research output: Book chapterConference contributionpeer-review

Abstract

Cultural Algorithms, by imitating the social behavior of human communities are able to attain good results while exhibiting a remarkable frugality in resources. This paper explores their needs in terms of sample size and how these needs are affected by the complexity of the information being addressed, with a somewhat surprising result: less is more, smaller sample sizes conduce to better results at any level of complexity.

Original languageEnglish
Title of host publicationArtificial Intelligence Research and Development
PublisherIOS Press
Pages19-28
Number of pages10
ISBN (Print)9781607506423
DOIs
Publication statusPublished - 2010
Externally publishedYes

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume220
ISSN (Print)0922-6389

Keywords

  • Agents
  • Complexity
  • Cultural Algorithms

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