巣別れを導入したParticle Swarm Optimization アルゴリズムの提案-広島市立大学機関リポジトリ

Particle swarm optimization (PSO) is a population based stochastic optimization algorithm. PSO works with a swarm of simple agents and has been successfully applied in many areas. However, to avoid premature convergence in multi-modal function is difficult for PSO. In this paper, we introduce the concept of colony fission to PSO and aim to improve search performance in multi- modal function. The colony fission is phenomenon that swarm such as bees, wasps and ants is divided to several colonies. In proposed method, colonies are generated stochastically and they cooperatively search solutions in multi-modal function.

掲載雑誌名

2012 IEEE SMC Hiroshima Chapter Young Researchers' Workshop Proceedings = 2012 IEEE SMC Hiroshima Chapter 若手研究会講演論文集

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出版年月日

2012-07

出版者

IEEE SMC Hiroshima Chapter

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日本語

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会議発表論文

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