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改进的动态粒子群算法
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作者 汪文彬 宋武 《琼州学院学报》 2008年第5期22-24,共3页
为更好的解决动态优化问题,提出改进的粒子群算法(Improved Partic le Swarm Optim ization,IP-SO),在算法中对pBest替代策略引入了随机化算子,并且对群体中的gBest引入了局部搜索,对随时间变化的最优值进行了精确定位,试验证明该算法... 为更好的解决动态优化问题,提出改进的粒子群算法(Improved Partic le Swarm Optim ization,IP-SO),在算法中对pBest替代策略引入了随机化算子,并且对群体中的gBest引入了局部搜索,对随时间变化的最优值进行了精确定位,试验证明该算法对动态优化问题的有效性. 展开更多
关键词 动态 粒子群算法 随机化算子 局部搜索
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The Convergence of the Abstract Evolutionary Algorithm Based on a Special Selection Mechanism
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作者 BIYong-qing XUEMing-zhi 《Chinese Quarterly Journal of Mathematics》 CSCD 2003年第2期213-220,共8页
There has been a growing interest in mathematical models to character the evolutionary algorithms. The best-known one of such models is the axiomatic model colled the abstract evolutionary algorithm. In this paper, we... There has been a growing interest in mathematical models to character the evolutionary algorithms. The best-known one of such models is the axiomatic model colled the abstract evolutionary algorithm. In this paper, we first introduce the definitions of the abhstract selection and evolution operators, and that of the abstract evolutionary algorithm, which describes the evolution as an abstract stochastic process composed of these two fundamental abstract operators. In particular, a kind of abstract evolutionary algorithms based on a special selection mechansim is discussed. According to the sorting for the state space, the properties of the single step transition matrix for the algorithm are anaylzed. In the end, we prove that the limit probability distribution of the Markov chains exists. The present work provides a big step toward the establishment of a unified theory of evolutionary computation. 展开更多
关键词 abstract evolutionary algorithm a transition matrix CONVERGENCE
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