Micro-particle swarm optimizer for solving high dimensional optimization problems (μPSO for high dimensional optimization problems)

作者:

Highlights:

摘要

A simple and powerful micro-particle swarm optimizer (μPSO) is presented. For high dimensional optimization problems, the proposed μPSO needs only a small population to outperform the standard particle swarm optimizer (PSO) that uses a larger population. This superior performance is confirmed by simulation results for different high dimensional test functions.

论文关键词:Evolutionary computation,High dimensional optimization problems,Micro-particle swarm optimizer,Optimization methods,Particle swarm optimizer

论文评审过程:Available online 5 April 2006.

论文官网地址:https://doi.org/10.1016/j.amc.2006.01.088