設計工学・システム部門講演会講演論文集
Online ISSN : 2424-3078
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2103 RBF と領域遺伝型遺伝的アルゴリズムを用いた近似最適化 : 制約条件つき問題への適用
荒川 雅生中山 弘隆石川 浩
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p. 190-193

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In this paper, we will show the integrated optimization system that is composed by RBF as approximation tool and Genetic Range Genetic Algorithms as optimizer. This system has function of optimizing radius of basis function in optimization, indication of next searching points by using basis function and optimization by using Genetic Range Genetic Algorithms that is a step further of Adaptive Range Genetic Algorithms. All these system is composed in Excel platform, thus, user can used them easily without knowing neither RBF nor GA. In order to show the effectiveness of the proposed system, we will show a numerical example that has multi-peak with constraints.
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© 2002 一般社団法人 日本機械学会
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