Marine Predators Algorithm: A nature-inspired metaheuristic
作者：
Highlights：
• Developed Marine Predators Algorithm as a nature inspired optimization method.
• Tested the performance of MPA against mathematical and engineering benchmarks.
• Compared MPA with other well-known optimization algorithms.
• Conducted experimental and analytical convergence analyses.
• Demonstrated superiority of MPA in various conditions.
摘要
•Developed Marine Predators Algorithm as a nature inspired optimization method.•Tested the performance of MPA against mathematical and engineering benchmarks.•Compared MPA with other well-known optimization algorithms.•Conducted experimental and analytical convergence analyses.•Demonstrated superiority of MPA in various conditions.
论文关键词：Marine Predators Algorithm,Metaheuristic,Stochastic optimization,Global optimization,Evolutionary computation,Swarm intelligence
论文评审过程：Received 23 August 2019, Revised 17 January 2020, Accepted 11 March 2020, Available online 13 March 2020, Version of Record 16 April 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113377
