计算机工程2009，Vol.35Issue(15)：182-184,189,4.
基于自适应高斯变异的人工鱼群算法
Artificial Fish-School Algorithm Based on Adaptive Gauss Mutation
摘要
Abstract
Aiming at the disadvantages of Artificial Fish-School Algorithm(AFSA), this paper proposes a novel AFSA based on adaptive Gauss mutation and historical best fish. The ability of AFSA to break away from artificial fish stochastic moving without a definite purpose is improved. It can greatly improve the ability of seeking the global excellent result and convergence property and accuracy. Test of representative test function, application example and theory analysis show that it is feasible and availability.关键词
人工鱼群算法/高斯变异/优化Key words
Artificial Fish-School Algorithm(AFSA)/ Gauss mutation/ optimization分类
信息技术与安全科学引用本文复制引用
曲良东,何登旭..基于自适应高斯变异的人工鱼群算法[J].计算机工程,2009,35(15):182-184,189,4.基金项目
国家民委科学基金资助项目(05GX06) （05GX06）
广西自然科学基金资助项目(0728054) （0728054）
