Learning lessons from the common cold: How reducing parasite virulence improves coevolutionary optimization

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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225 Downloads (Pure)

Abstract

Inspired by the virulence of natural parasites, a novel approach is developed to tackle disengagement, a detrimental phenomenon coevolutionary systems sometimes experience [1]. After demonstrating beneficial results in a simple model, minimum comparison sorting networks are coevolved, with results suggesting that moderating parasite virulence can help in practical problem domains.

Original languageEnglish
Title of host publicationCEC-02: Proceedings of the 2002 Congress on Evolutionary Computation
Subtitle of host publicationHilton, Hawaiian Village Hotel, Honolulu, Hawaii, May 12-17, 2002
EditorsD Fogel, M. A. El-Sharkawi, X Yao, G. Greenwood, H. Iba, P. Marrow, M. Shackleton
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1420-1425
Number of pages6
Volume2
ISBN (Electronic)0780372832
ISBN (Print)0780372824
DOIs
Publication statusPublished - May 2002
EventIEEE World Congress on Computational Intelligence (WCCI2002) - Honolulu, United States
Duration: 12 May 200217 May 2002

Conference

ConferenceIEEE World Congress on Computational Intelligence (WCCI2002)
Country/TerritoryUnited States
CityHonolulu
Period12/05/0217/05/02

Keywords

  • evolutionary computation
  • coevolution
  • optimisation
  • sorting networks
  • virulence
  • reduced virulence
  • disengagement
  • coevolutionary disengagement
  • coevolutionary dynamics

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