An Improved Artificial Fish Swarm Algorithm

摘要：

An improved artificial fish swarm algorithm (IAFSA) is proposed in this paper.In view of the defects of the standard artificial fish swarm algorithm (AFSA), the proposed algorithm makes improvements which include crossover operation, parameters adjustment, and local search in the later period of the optimization.Simulation results show that IAFSA has faster convergence speed and higher accuracy compared with the standard AFSA.

关键词： artificial fish swarm algorithm improved artificial fish swarm algorithm crossover operation local search parameters adjustment

作者: Na Fang Jianzhong Zhou Hui Qin Huifeng Zhang Rui Zhang Yongchuan Zhang

作者单位: College of Hydropower and Information Engineering,Huazhong University of Science and Technology Wuha College of Hydropower and Information Engineering,Huazhong University of Science and Technology Wuha

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 416-419

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）