2012年
Statistical Analysis Based Adjustment Method for Convergence Rate of Spiral Optimization
SWARM, EVOLUTIONARY, AND MEMETIC COMPUTING, (SEMCCO 2012)
- ,
- 巻
- 7677
- 号
- 開始ページ
- 653
- 終了ページ
- 661
- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- 出版者・発行元
- SPRINGER-VERLAG BERLIN
Recently, the authors proposed a new metaheuristics method for continuous optimization problems based on analogy of spiral phenomena in nature which is called Spiral Optimization. The Spiral Optimization has two setting parameters: the convergence rate r and the rotation angle.. However, any adjustment methods or policies for them has not been studied so far. This paper especially focuses on the convergence rate r and develops its adjustment method through statistically analyzing its properties. The effectiveness is verified from simulation results under some conditions.
- リンク情報
- ID情報
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- ISSN : 0302-9743
- Web of Science ID : WOS:000350033200076