Chaos Artificial Fish Swarm Algorithm for Nonlinear Function Optimization
A novel stochastic search optimization algorithm — Artificial Fish Swarm Algorithm (AFSA ) was presented firstly in this paper. According to the ergodicity and stochasticity of Chaos, we combined Artificial Fish Swarm Algorithm and Chaos to form a new fusion optimization algorithm —Chaos Artificial Fish Swarm Algorithm(CAFSA). Which was applied to Nonlinear Function Optimization, results of simulation show that CAFSA possesses more excellent integral performance than AFSA, it not only has good global convergence capability, but also has the advantages of higher speed and accuracy of convergence, and has prominence ability of jumping the local minimum.
Artificial Fish Swarm Algorithm Chaos Nonlinear function Optimization
SONG Zhiyu DONG Lili
Yellow River Engineering Consulting Co., Ltd., Zhengzhou, Henan 450003
国际会议
第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)
重庆
英文
1655-1658
2009-08-01（万方平台首次上网日期，不代表论文的发表时间）