Directed intervention crossover applied to bio-control scheduling

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

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Citations (Scopus)

    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.

    Original languageEnglish
    Title of host publicationIEEE Congress on Evolutionary Computation, 2007. CEC 2007.
    Place of PublicationNew York
    PublisherIEEE Computer Society
    Pages638-645
    Number of pages8
    ISBN (Print)9781424413393
    DOIs
    Publication statusPublished - 2007
    Event2007 IEEE Congress on Evolutionary Computation - Swissôtel The Stamford, Singapore
    Duration: 25 Sep 200728 Sep 2007
    http://cec2007.nus.edu.sg/

    Conference

    Conference2007 IEEE Congress on Evolutionary Computation
    CountrySingapore
    Period25/09/0728/09/07
    Internet address

    Cite this

    Godley, P. M., Cairns, D. E., & Cowie, J. (2007). Directed intervention crossover applied to bio-control scheduling. In IEEE Congress on Evolutionary Computation, 2007. CEC 2007. (pp. 638-645). IEEE Computer Society. https://doi.org/10.1109/CEC.2007.4424531