A constrained multi-swarm particle swarm optimization without velocity for constrained optimization problems

作者：

Highlights：

• A constrained optimization algorithm abbreviated as CMPSOWV is proposed.

• Two evolution phases are designed into CMPSOWV to solve different COPs robustly.

• Two schemes are embedded into CMPSOWV to address the premature convergence issue.

• The proposed CMPSOWV outperforms its peers in terms of searching accuracy.

摘要

•A constrained optimization algorithm abbreviated as CMPSOWV is proposed.•Two evolution phases are designed into CMPSOWV to solve different COPs robustly.•Two schemes are embedded into CMPSOWV to address the premature convergence issue.•The proposed CMPSOWV outperforms its peers in terms of searching accuracy.

论文关键词：Constrained optimization,Particle swarm optimization,Current swarm evolution,Memory swarm evolution

论文评审过程：Received 25 May 2019, Revised 28 July 2019, Accepted 17 August 2019, Available online 18 August 2019, Version of Record 22 August 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.112882