A cautious PSO with conditional random

作者：

Highlights：

• Particle swarm optimization (PSO) can be used to solve optimization problems.

• Few PSO algorithms employ conditional random to correct the searching direction.

• This study uses a cautious PSO with a conditional random to allow the adjustment.

• This prevents premature convergence and improves the search performance.

• Our results show this method is accurate and converges faster than a standard PSO.

摘要

•Particle swarm optimization (PSO) can be used to solve optimization problems.•Few PSO algorithms employ conditional random to correct the searching direction.•This study uses a cautious PSO with a conditional random to allow the adjustment.•This prevents premature convergence and improves the search performance.•Our results show this method is accurate and converges faster than a standard PSO.

论文关键词：Particle swarm optimization,Conditional random

论文评审过程：Available online 3 January 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.12.046