Marine Predators Algorithm: A nature-inspired metaheuristic

• Published in: Expert systems with applications Vol. 152; p. 113377
• Main Authors: Faramarzi, Afshin, Heidarinejad, Mohammad, Mirjalili, Seyedali, Gandomi, Amir H.
• Format: Journal Article
• Language: English
• Published: New York Elsevier Ltd 15.08.2020; Elsevier BV
• Subjects: Algorithms; Brownian motion; Competition; Design engineering; Evolutionary computation; Global optimization; Heuristic methods; Marine engineering; Marine Predators Algorithm; Metaheuristic; Optimization; Performance evaluation; Predators; Source code; Stochastic optimization; Swarm intelligence; Metaheuristic; Global optimization; Swarm intelligence; Marine Predators Algorithm; Stochastic optimization; Evolutionary computation

•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 superior...