Enhanced particle swarm optimization based on principal component analysis and line search

作者：

Highlights：

• A new information accumulation mechanism with principal component analysis is presented.

• Principal component analysis is for promising directions and line search is for enhanced search.

• Principal component analysis is analyzed and illustrated how to be utilized.

• Extensive comparisons with pPSA, PCPSO, CLPSO, OLPSO, and AIWPSO.

摘要

•A new information accumulation mechanism with principal component analysis is presented.•Principal component analysis is for promising directions and line search is for enhanced search.•Principal component analysis is analyzed and illustrated how to be utilized.•Extensive comparisons with pPSA, PCPSO, CLPSO, OLPSO, and AIWPSO.

论文关键词：Particle swarm optimization,Principal component analysis,Line search,Information accumulation,Velocity diversity,Swarm intelligence

论文评审过程：Available online 11 January 2014.

论文官网地址：https://doi.org/10.1016/j.amc.2013.12.068