文章基本信息

标题：A Dynamical Particle Swarm Algorithm with Dimension Mutation
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作者：Jingxuan Wei, Yuping Wang
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2006
卷号：6
期号：7A
页码：221-224
出版社：International Journal of Computer Science and Network Security
摘要：In this paper, a dynamical particle swarm algorithm with dimension mutation is proposed. First, we design a dynamically changing inertia weight which can change dynamically based on the speed factor and the accumulation factor. The algorithm with dynamically changing inertia weight can solve complex and nonlinear optimization process that linearly decreasing weight algorithm (LDW) is not adapt. Second, in order to escape from the local optimum, a dimension mutation operator is designed. The degrees of convergence of every dimension are calculated from the beginning of mutation. The dimension of the minimal convergence degree is mutated according to some probability. Finally, the simulation experiments also prove its high efficiency
关键词：Particle swarm optimization, dimension mutation, inertia weight