Simulated Annealing Artificial Fish Swarm Algorithm

被引：12
|
作者：
Jiang, Mingyan [1 ]
Cheng, Yongming [1 ]
机构：
[1] Shandong Univ, Sch Informat Sci & Engn, Jinan 250100, Peoples R China
来源：
2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2010年
关键词：
artificial fish swarm algorithm; data clustering; multimodal problem; simulated annealing;
D O I：
10.1109/WCICA.2010.5554452
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a novel stochastic approach called the simulated annealing-artificial fish swarm algorithm (SA-AFSA) for solving some multimodal problems. The proposed algorithm incorporates the simulated annealing (SA) into artificial fish swarm algorithm (AFSA) to improve the performance of the AFSA. The hybrid algorithm has the following features: the hybrid algorithm maintains 1) the strong local searching ability of the SA and 2) the swarm intelligence of AFSA. The experimental results indicate that in all the test cases, the SA-AFSA can obtain much better optimization precision and the convergence speed compared with AFSA.
引用
收藏
页码：1590 / 1593
页数：4
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