Marine Predators Algorithm (MPA): A Nature-Inspired Optimization Approach
The Marine Predators Algorithm (MPA) is a nature-inspired optimization technique that mimics the natural rules governing optimal foraging strategies and predator-prey velocity interactions in marine ecosystems. This algorithm employs three distinct velocity ratio phases to balance exploration and exploitation during optimization. MPA's performance has been rigorously evaluated against 29 benchmark functions, the CEC-BC-2017 test suite, randomly generated landscapes, three engineering benchmarks, and two practical engineering design problems involving ventilation and building energy efficiency. Comparative analysis includes three categories of optimization methods: 1) Well-established metaheuristics (GA and PSO); 2) Recently developed algorithms (GSA, CS, SSA); 3) High-performance optimizers (CMA-ES, SHADE, LSHADE-cnEpSin).