Comparative study on several PSO algorithms

Weichang Jiang, Yating Zhang, Ruihua Wang
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引用次数: 17

Abstract

With the development of intelligent algorithm, GA and PSO have become the hot spot for the study on multi-objective optimization in recently years. Information sharing is the core of PSO algorithm, Comparing with GA, PSO algorithm has less variables to adjust and is easy to achieve, so it is widely used in engineering. This paper focus on the comparation on several PSO algorithm and introduce a kind of PSO algorithm that is better in performance than others.
几种粒子群算法的比较研究
随着智能算法的发展,遗传算法和粒子群算法成为近年来多目标优化研究的热点。信息共享是粒子群算法的核心,与遗传算法相比,粒子群算法需要调整的变量少,易于实现,因此在工程中得到了广泛的应用。本文重点对几种粒子群算法进行了比较,并介绍了一种性能较好的粒子群算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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