MOMPA

We propose a novel and effective multi-objective marine predator algorithm (MOMPA) to solve multi-objective optimization (MOO) problems. MOMPA incorporates the non-dominated sorting approach and the reference point strategy to select elite individuals and ensures the diversity of the Pareto optimal solution sets. Also, the Gaussian perturbation mechanism is leveraged to further improve the population diversity and global search ability in MOMPA. The performance of MOMPA is evaluated and comprehensively compared with benchmark functions. The results show that MOMPA is very competitive.