Study on particle swarm optimization algorithms based on niche of sharing mechanism

被引：0

作者：

Zhang Xu-jie ^{[1
]}

Li Shao-jun ^{[1
]}

Qian Feng ^{[1
]}

机构：

[1] E China Univ Sci & Technol, Coll Informat, Shanghai 200237, Peoples R China

来源：

PROCEEDINGS OF 2005 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1 AND 2 | 2005年

关键词：

particle swarm optimization; niche; population diversity; fitness sharing;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Particle swarm optimizer is a simple stochastic global optimization technique. Its significant feature is simpler expression, and less parameters, but is easily slumped the local minima. In this paper, a particle Swarm Optimization Algorithms Based on niche of sharing mechanism is brought forward. The proposed algorithm sustains diversity in population efficiently and improves the ability of breaking away from the local minima. The experiment results demonstrate that the proposed algorithm is superior to original particle swarm optimization algorithm, especially multi-modal function.

引用

页码：958 / 961

页数：4

共 9 条

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