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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.続きを見る
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Mendeley出力
FUZZ-IEEE99_Ing