Marine predators algorithm: A comprehensive review
Sylvère Mugemanyi, Zhaoyang Qu, François Xavier Rugema, Yunchang Dong, Lei Wang, Christophe Bananeza, Arcade Nshimiyimana, Emmanuel Mutabazi
Abstract
Marine predators algorithm (MPA) is a recently proposed metaheuristic algorithm that mimics the marine predators behavior when attacking their preys. Recently, the MPA has been broadly employed to tackle numerous optimization problems in various research areas and has confirmed its supremacy over a large number of the metaheuristic algorithms regard to convergence speed and accuracy thanks to its simplicity, flexible implementation and few adjustable parameters requirements. A comprehensive review of the MPA is presented in this paper along with its variants such as binary, discrete, modifications, hybridizations, chaotic, quantum and multi-objective versions. This paper also reviews various applications of MPA in electrical engineering, computer science, medicine, etc. Moreover, further research directions for MPA are suggested. The source code of the MPA can be found at: http://www.alimirjalili.com/MPA.html.