云人工鱼群算法  

Cloud theory-based artificial fish swarm algorithm

作　　者：韦修喜[1] 曾海文[1] 周永权[2] 

机构地区：[1]广西国际商务职业技术学院信息工程系,南宁530007 [2]广西民族大学数学与计算机科学学院,南宁530006

出　　处：《计算机工程与应用》2010年第22期26-29,共4页Computer Engineering and Applications

基　　金：国家自然科学基金No.60461001;广西自然科学基金No.0991086;国家民委科研项目(No.08GX01)~~

摘　　要：借鉴人工鱼群算法的思想,利用云模型云滴的随机性和稳定倾向性的特点,提出了一种新的人工鱼群算法——云人工鱼群算法,并用于求解具有变量边界约束的非线性的复杂函数最优化问题。计算机仿真结果表明,云人工鱼群算法具有计算精度较高,搜索速度较快等特点,具有一定的参考和应用价值。A novel artificial fish swarm algorithm,Cloud model-based Artificial Fish Swarm Algorithm（CAFSA） is proposed, CAFSA which is used for optimizing complex nonlinear function is based on both the idea of AFSA and the properties of randomness and stable tendency of a normal cloud model.Finally,the numerical experiment results show that this method not only can effectively locate the global optimum, but also have a rather high convergence speed.It is believed that CAFSA will become a promising candidate of evolutionary algorithms.

关 键 词：云模型 人工鱼群算法 云人工鱼群算法 函数优化 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]