Formulation of Superior Solution Set Search Problem and Proposal of Firefly Algorithm-based Optimization Method

カテゴリ: 部門大会

論文No: SS1-1

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): Formulation of Superior Solution Set Search Problem and Proposal of Firefly Algorithm-based Optimization Method

著者名: 大隅 竜太(首都大学東京),田村 健一(首都大学東京),土屋 淳一(首都大学東京),安田 恵一郎(首都大学東京)

著者名(英語): Ryuta Oosumi|Kenichi Tamura|Junichi Tsuchiya|Keiichiro Yasuda

キーワード: 単一目的最適化|多峰性関数|解の多様性|メタヒューリスティクス|Firefly Algorithm|Single-objective Optimization|Multi-modal Function|Diversity of Solution|Metaheuristics|Firefly Algorithm

要約(日本語): In this paper, we formulate a new definition for single-objective optimization problem and propose Firefly Algorithm-based optimization method for the formulated problem. The formulated problem requires a set of local optima with evaluation values better than a certain level and the distances between each local optimum are farther than a certain distance (the superior solution set). In other words, the superior solution set meets the aspiration level of the user and has diversity.In addition, the Firefly Algorithm-based optimization method was developed based on an analysis of the Firefly Algorithm search mechanism. Finally, the performance of the developed method was verified by comparison of developed method with Firefly Algorithm and Particle Swarm Optimization.

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