Adaptive Firefly Algorithm Based on Diversification and Intensification in Superior Solution Set Search Problem

カテゴリ: 部門大会

論文No: SS3-1

グループ名: 【C】平成30年電気学会電子・情報・システム部門大会プログラム

発行日: 2018/09/05

タイトル(英語): Adaptive Firefly Algorithm Based on Diversification and Intensification in Superior Solution Set Search Problem

著者名: Wang Hongran(Tokyo Metropolitan University),Tamura Kenichi(Tokyo Metropolitan University),Tsuchiya Junichi(Tokyo Metropolitan University),Yasuda Keiichiro(Tokyo Metropolitan University)

著者名(英語): Hongran Wang|Kenichi Tamura|Junichi Tsuchiya|Keiichiro Yasuda

キーワード: メタヒューリスティクス|優良解集合探索問題|Firefly Algorithm|多様化・集中化|適応化|Metaheuristics|Superior Solution Set Search Problem|Firefly Algorithm|Diversification and Intensification|Adaptation

要約(日本語): In this paper, we propose a superior solution set search problem as an optimization problem to simultaneously find multiple excellent solutions in multimodal functions. We interpret the metaheuristics strategy (i.e., diversification and intensification) of the superior solution set search problem and clarify the effects of parameters on the cluster search dynamics of FA in terms of the metaheuristics strategy. After the above analysis, we propose an Adaptive FA that preliminarily performs parameter adjustment according to set target value schedule, evaluate indicators of diversification and intensification for the superior solution set search problem, and verify their usefulness by conducting a numerical experiment using three typical benchmark functions.

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