Enhanced Marine Predators Algorithm with Local Escaping Operator for Global Optimization

作者：

Highlights：

• A local escaping operator based on representative solutions is proposed.

• Hybridization of the MPA algorithm with the LEO is introduced.

• Introduced LEO-MPA is compared with 20 state-of-the-art meta-heuristics.

• Suitability of the LEO to improve other meta-heuristics is investigated.

摘要

•A local escaping operator based on representative solutions is proposed.•Hybridization of the MPA algorithm with the LEO is introduced.•Introduced LEO-MPA is compared with 20 state-of-the-art meta-heuristics.•Suitability of the LEO to improve other meta-heuristics is investigated.

论文关键词：Global optimization,Meta-heuristics,Hybridization,Marine Predators Algorithm,Representative solutions,Local escaping operator

论文评审过程：Received 17 March 2021, Revised 1 September 2021, Accepted 1 September 2021, Available online 4 September 2021, Version of Record 11 September 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.107467