A Multi-objective Optimization Method Based on Functional Specialization

カテゴリ: 部門大会

論文No: SS1-2

グループ名: 【C】平成28年電気学会電子・情報・システム部門大会講演論文集

発行日: 2016/08/31

タイトル(英語): A Multi-objective Optimization Method Based on Functional Specialization

著者名: 森田 聖惇(首都大学東京),田村 健一(首都大学東京),土屋 純一(首都大学東京),安田 恵一郎(首都大学東京)

著者名(英語): Seijun Morita|Kenichi Tamura|Junichi Tsuchiya|Keiichiro Yasuda

キーワード: 多目的最適化|メタヒューリスティクス|多点探索|機能分担|Multi-objective Optimization|Meta-heuristics|Multi-point Search|Functional Specialization

要約(日本語): Multi-objective optimization is a very active area of research. In this study, we propose a new multi-objective optimization method based on the functional specialization based search strategy. The functional specialization based search strategy is based on two ideas. The first idea is the state evaluation and classification of search points to realize an advanced search structure. The second idea is to use operations with different features to achieve an efficient search by taking advantage of each operation. The proposed method takes advantage of this search strategy to achieve high convergence and a well-diversified solution set during multi-objective optimization. The performance of the proposed method was verified by a numerical simulation using typical benchmark problems.

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