MOMRFO: Multi-objective Manta ray foraging optimizer for handling engineering design problems

作者：

Highlights：

• Multi-Objective Manta Ray Foraging Optimizer (MOMRFO) is proposed.

• It uses external archive to maintain the elitism concept during optimization process.

• Grid mechanism is employed in archiving and Gbest selection to improve convergence and diversity.

• Yields interesting results on artificial benchmarks and engineering design problems.

摘要

•Multi-Objective Manta Ray Foraging Optimizer (MOMRFO) is proposed.•It uses external archive to maintain the elitism concept during optimization process.•Grid mechanism is employed in archiving and Gbest selection to improve convergence and diversity.•Yields interesting results on artificial benchmarks and engineering design problems.

论文关键词：Multi-objective optimization problem,Manta ray foraging optimizer,Adaptive archive,Convergence and diversity,Engineering design problems

论文评审过程：Received 14 September 2021, Revised 26 October 2021, Accepted 1 December 2021, Available online 9 December 2021, Version of Record 17 December 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.107880