Accelerating a GA convergence by fitting a single-peak function

Takeo Ingu, Hideyuki Takagi

    Research output: Contribution to conferencePaperpeer-review

    16 Citations (Scopus)

    Abstract

    This paper proposes an acceleration method of GA search that finds a new elite by fitting a single-peak function on GA search surface. The roughest approximation of a finite searching surface that has one global optimum would be a single-peak curved surface, and the vertex of the approximated single-peak function is expected to be near the global optimum of the original searching surface. We propose two data selection methods for the fitting, use a quadratic function as the single-peak function, and evaluate the proposed idea using seven benchmark functions. The experimental results have shown that the proposed method accelerates GA convergence.

    Original languageEnglish
    PagesIII-1415 - III-1420
    DOIs
    Publication statusPublished - 1999
    EventProceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99 - Seoul, South Korea
    Duration: Aug 22 1999Aug 25 1999

    Other

    OtherProceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99
    CitySeoul, South Korea
    Period8/22/998/25/99

    All Science Journal Classification (ASJC) codes

    • Software
    • Theoretical Computer Science
    • Artificial Intelligence
    • Applied Mathematics

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