周期搜索空间中粒子群飞行的数值优化边界约束处理

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753) Pub Date : 2004-06-19 DOI:10.1109/CEC.2004.1331185

Wenjun Zhang, Xiao-Feng Xie, De-Chun Bi

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引用次数: 92

摘要

结合两种传统的粒子群边界处理模式，对周期模式进行了分析。通过提供由原始搜索空间的周期性副本组成的无限空间，避免了粒子群在边界处因不期望的突变而可能引起的无序。在基准函数上的结果表明，与传统模式和其他算法相比，具有周期模式的粒子群算法能够显著提高搜索性能。

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Handling boundary constraints for numerical optimization by particle swarm flying in periodic search space

The periodic mode is analyzed together with two conventional boundary handling modes for particle swarm. By providing an infinite space that comprises periodic copies of original search space, it avoids possible disorganizing of particle swarm that is induced by the undesired mutations at the boundary. The results on benchmark functions show that particle swarm with periodic mode is capable of improving the search performance significantly, by compared with that of conventional modes and other algorithms.

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Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)

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