Accelerating a GA convergence by fitting a single-peak function

Takeo Ingu, Hideyuki Takagi

研究成果: Contribution to conferencePaper

15 引用 (Scopus)

抜粋

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.

元の言語英語
ページIII-1415 - III-1420
DOI
出版物ステータス出版済み - 1999
イベントProceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99 - Seoul, South Korea
継続期間: 8 22 19998 25 1999

その他

その他Proceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99
Seoul, South Korea
期間8/22/998/25/99

All Science Journal Classification (ASJC) codes

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

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  • これを引用

    Ingu, T., & Takagi, H. (1999). Accelerating a GA convergence by fitting a single-peak function. III-1415 - III-1420. 論文発表場所 Proceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99, Seoul, South Korea, . https://doi.org/10.1109/fuzzy.1999.790111