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Degree of population diversity - a perspective on premature convergence in genetic algorithms and its Markov chain analysis.

Degree of population diversity - a perspective on premature convergence in genetic algorithms and its Markov chain analysis. Research Abstract Details 

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  • Degree of population diversity - a perspective on premature convergence in genetic algorithms and its Markov chain analysis. Abstract Text:

    y leungY Leung,y gaoY Gao,z b xuZ B Xu,

    In this paper, a concept of degree of population diversity is introduced to quantitatively characterize and theoretically analyze the problem of premature convergence in genetic algorithms (GAs) within the framework of Markov chain. Under the assumption that the mutation probability is zero, the search ability of GA is discussed. It is proved that the degree of population diversity converges to zero with probability one so that the search ability of a GA decreases and premature convergence occurs. Moreover, an explicit formula for the conditional probability of allele loss at a certain bit position is established to show the relationships between premature convergence and the GA parameters, such as population size, mutation probability, and some population statistics. The formula also partly answers the questions of to where a GA most likely converges. The theoretical results are all supported by the simulation experiments.

    Degree of population diversity - a perspective on premature convergence in genetic algorithms and its Markov chain analysis. Publishing Authors By Initials

    y leungY Leung,y gaoY Gao,zb xuZB Xu,

    For similar abstracts research abstracts see: abstracts research

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    Degree of population diversity - a perspective on premature convergence in genetic algorithms and its Markov chain analysis. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: IEEE transactions on neural networks / a publicati

    VOLUME: 8

    Page Numbers: 1165-76

    Journal Abbreviation:

    ISSN: 1045-9227

    DAY: 7

    MONTH: 02

    YEAR: 1997

    Degree of population diversity - a perspective on premature convergence in genetic algorithms and its Markov chain analysis. Information

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    LANGUAGE: eng

    NlmUniqueID: 101211035

    Degree of population diversity - a perspective on premature convergence in genetic algorithms and its Markov chain analysis. Keywords Mesh Terms:

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    Grant and Affiliation Information for Degree of population diversity - a perspective on premature convergence in genetic algorithms and its Markov chain analysis.

    AFFILIATION: Dept. of Geogr., Chinese Univ. of Hong Kong, Shatin.

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: IEEE Trans Neural Netw

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