文章基本信息

标题：Limiting the Velocity in the Particle Swarm Optimization Algorithm
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作者：Julio Barrera ; Osiris Álvarez-Bajo ; Juan J. Flores 等
期刊名称：Computación y Sistemas
印刷版ISSN：1405-5546
出版年度：2016
卷号：20
期号：4
页码：635-645
语种：English
出版社：Instituto Politécnico Nacional
其他摘要：Velocity in the Particle Swarm Optimization algorithm (PSO) is one of its major features, as it is the mechanism used to move (evolve) the position of a particle to search for optimal solutions. The velocity is commonly regulated, by multiplying a factor to the particle’s velocity. This velocity regulation aims to achieve a balance between exploration and exploitation. The most common methods to regulate the velocity are the inertia weight and constriction factor. Here, we present a different method to regulate the velocity by changing the maximum limit of the velocity at each iteration, thus eliminating the use of a factor. We go further and present a simpler version of the PSO algorithm that achieves competitive and, in some cases, even better results than the original PSO algorithm.
其他关键词：Particle swarm; velocity; limits.