摘要
利用混沌搜索和变异机制克服种群易停滞且易陷入局部最优点的不足。当种群出现停滞时先用混沌搜索更优点,当搜索到的点不满足变异精度要求时再进行变异。发现混沌搜索能使种群在出现停滞时持续寻优,而变异机制则能够有效地帮助种群在陷入局部最优点时跳出该点。结果表明该方法的全局寻优能力较强。
By introducing chaotic search and mutation mechanism,population can overcome the shortcomings of stagnation and trapping into local optimums.When the population is stagnation,chaotic search is used to find a better point firstly.If this point does not meet the precision of mutation,then mutation mechanism will make effort.Chaotic search can continuously optimize when the population is stagnation,mutation mechanism helps the population break away from local optimum when it has trapped into the local optimum.Experimental results show that the new algorithm is relatively obvious for the ability of global optimization.
出处
《计算机工程与应用》
CSCD
北大核心
2011年第23期45-47,50,共4页
Computer Engineering and Applications
关键词
混沌
变异
粒子群优化
变异机制
chaos
mutation
particle swarm optimization
mutation mechanism
