An Alternative to Random Generation of the Initial Population for Genetic Algorithms

Shane Lee, Hefin Rowlands

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    An alternative to the traditional random method of generating the initial population of genetic algorithms is introduced. The orthogonal arrays of the Taguchi method are used to create a population of chromosomes. The performance of these populations is compared empirically with populations created in the conventional random way. Just one test function is consider here which adequately illustrates the strengths and weaknesses of the new techniques The addition of Gaussian noise to the new initialization routine is shown to further improve the results.
    Original languageEnglish
    Title of host publicationProceedings 20th European Conference on Modelling and Simulation
    EditorsWolfgang Borutzky, Alessandra Orsoni, Richard Zobel
    PublisherECMS
    Number of pages5
    ISBN (Print)0-9553018-0-7
    Publication statusPublished - 2006
    Event20th European Conference on Modelling and Simulation - Bonn, Germany
    Duration: 28 May 200631 May 2006

    Conference

    Conference20th European Conference on Modelling and Simulation
    Abbreviated titleECMS 2006
    Country/TerritoryGermany
    CityBonn
    Period28/05/0631/05/06

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