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Directed intervention crossover applied to bio-control scheduling

Directed intervention crossover applied to bio-control scheduling

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Authors

  • Paul M. Godley
  • David E. Cairns
  • Julie Cowie

Research units

Info

Original languageEnglish
Title of host publicationIEEE Congress on Evolutionary Computation, 2007. CEC 2007.
Place of publicationNew York
PublisherIEEE Computer Society
Publication date2007
Pages638-645
Number of pages8
ISBN (Print)9781424413393
DOIs
StatePublished

Conference

Conference2007 IEEE Congress on Evolutionary Computation
CountrySingapore
Period25/09/0728/09/07
Internet addresshttp://cec2007.nus.edu.sg/

Abstract

This paper describes two directed intervention crossover approaches that are applied to a bio-control dynamic system. Unlike traditional uniform crossover, both the Calculated Expanding Bin (CalEB) method and Targeted Intervention with Stochastic Selection (TInSSel) approach actively choose an intervention level and spread based on the fitness of the parents selected for crossover. Results indicate that these approaches lead to significant improvements over Uniform Crossover (UC) when a penalty is introduced for each intervention point used by the crossover algorithm.

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