著者

長谷川 浩志 吉川 向 上原 広靖 川面 恵司

出版者

日本シミュレーション学会

雑誌

シミュレーション (ISSN:02859947)

巻号頁・発行日

vol.25, no.2, pp.144-155, 2006-06-15

被引用文献数

1

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In this paper, Authors proposed a hybrid meta-heuristic method for the integer optimization of multi-peak problems to support the engineering field. For the search ability of the optimal process, the proposed method did not define a traditional combination, i.e., combining global search ability and local search ability, but newly defined the combination of multi search ability (MSA), local search ability (LSA) and neighborhood optimal search ability (NOSA). For NOSA, this proposed method introduced direct search process which self-changes design variables with reflecting recognition of dependence relation among design variables automatically. The proposed method was applied to some benchmark functions to estimate its performance, and was confirmed that it improved amount of computational cost and convergence up to the optimal solution.