标题:Niche Artificial Fish Swarm Algorithm Based on Quantum Theory
作者:Zhu, Kongcun; Jiang, Mingyan; Cheng, Yongming
通讯作者:Zhu, KC
作者机构:[Zhu, Kongcun; Jiang, Mingyan; Cheng, Yongming] Shandong Univ, Sch Informat Sci & Engn, Jinan 250100, Peoples R China.
会议名称:IEEE 10TH International Conference on Signal Processing
会议日期:OCT 24-28, 2010
来源:2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III
出版年:2010
页码:1425-1428
关键词:AFSA; niche; RCS strategy; quantum mechanism
摘要:Artificial Fish Swarm Algorithm (AFSA) is a new swarm intelligence optimization algorithm which is designed to find the single optimal solution for a given problem. But in some practical applications, the global optimal solution and some near optimal solutions are both needed. So a novel Niche Quantum Artificial Fish Swarm Algorithm (NQAFSA) is proposed in this paper to solve these problems. The quantum mechanism is introduced into the AFSA to increase the diversity of species. Artificial Fish (AF) are divided into several sub-swarms to form the niche and the restricted competition selection (RCS) strategy is used to maintain the niche. The performance of NQAFSA is validated by the experimental results.
收录类别:CPCI-S
WOS核心被引频次:2
资源类型:会议论文
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