Niche Artificial Fish Swarm Algorithm Based on Quantum Theory

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.

关键词： AFSA niche RCS strategy quantum mechanism

作者: Kongcun Zhu Mingyan Jiang Yongming Cheng

作者单位: School of Information Science and Engineering, Shandong University Jinan, 250100, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1425-1428

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）