PSO算法在大规模优化问题中一种新的选择策略的性能研究

2013 IEEE Congress on Evolutionary Computation Pub Date : 2013-06-20 DOI:10.1109/CEC.2013.6557805

Michal Pluhacek, R. Šenkeřík, I. Zelinka

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引用次数: 8

摘要

本文提出了一种新的粒子群优化策略，并研究了其在大规模优化问题中改进粒子群算法性能的能力。这个提议的策略改变了确定每个粒子速度的方法。结果部分介绍了这一创新策略的有希望的结果，并对其进行了简要分析。

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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Investigation on the performance of a new multiple choice strategy for PSO Algorithm in the task of large scale optimization problems

In this paper, a novel strategy for particle swarm optimization is presented and investigated over its ability to improve the performance of PSO algorithm in the task of large scale optimization problems. This proposed strategy alters the way the velocity of each particle is determined. Promising results of this innovative strategy are presented in the results section and briefly analyzed.

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来源期刊

2013 IEEE Congress on Evolutionary Computation

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