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动态个体反恶化混沌粒子群优化算法
引用本文:苏瑞娟,刘怀亮,许若宁. 动态个体反恶化混沌粒子群优化算法[J]. 现代计算机, 2010, 0(4): 7-9,36
作者姓名:苏瑞娟  刘怀亮  许若宁
作者单位:苏瑞娟(广东科贸职业学院信息工程系,广州,510430);刘怀亮(广州大学计算机科学与教育软件学院,广州,510006);许若宁(广州大学数学与信息科学学院,广州,510006) 
摘    要:为防止粒子群优化算法陷入局部最优,引入个体反恶化和混沌机制,设计一种个体逐步反恶化的粒子群优化算法公式,提出动态个体反恶化混沌粒子群优化算法,使粒子摆脱局部最优,动态寻找全局最优值.采用多个著名标准测试函数进行实验,结果表明:本方法在不同情况下都超越其他著名粒子群优化改进算法.

关 键 词:粒子群优化算法  动态调整  个体反恶化机制  混沌机制

Dynamical Individual Anti-Worse Chaos Particle Swarm Optimization
SU Rui-juan,LIU Huai-liang,XU Ruo-ning. Dynamical Individual Anti-Worse Chaos Particle Swarm Optimization[J]. Modem Computer, 2010, 0(4): 7-9,36
Authors:SU Rui-juan  LIU Huai-liang  XU Ruo-ning
Affiliation:SU Rui-juan1,LIU Huai-liang2,XU Ruo-ning3(1.School of Information Engineering,Guangdong Vocational College of Science , Trade,Guangzhou 510430,2.Faculty of Computer Science , Educational Software,Guangzhou University,Guangzhou 510006,3.Faculty of Mathematics , Information Science,Guangzhou 510006)
Abstract:To solve the premature problem of particle swarm optimization,introduces individual anti-worse and chaos mechanism,designs individual anti-worse equations,and proposes dynamical indi-vidual anti-worse chaos particle swarm optimization algorithm,which can make the stagnated particles break away from local optima and dynamically search the global optima.Experimental result demonstrates that the new introduced methods outperformed several other improved particle swarm optimization algorithms on many famous ben...
Keywords:Particle Swarm Optimization  Dynamical Adjusting  Individual Anti-Worse Mechanism  Chaos Mechanism  
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