Multi-objective Special Relativity Search (MOSRS)

The codes of the multi-objective version of a recently proposed meta-heuristic algorithm Multi-objective Special Relativity Search (MOSRS) .

This paper presents the Multi-objective Special Relativity Search (MOSRS) for the first time. It relies on principles inspired by the theory of special relativity physics, which iteratively refines solutions toward optimality and self-adapts its parameters using these laws. Unlike the vast majority of algorithms in the literature today, the user sets only the number of iterations and particles (or population). To test the performance, MOSRS is applied to the most challenging test functions set (CEC 2009) and 21 real and constrained world problems, being compared with a total of eleven metaheuristics: NSGA-II, NASGA-III, MOEA/D, MOPSO, MOGWO, ARMOEA, TiGE2, NSGA-III, CCMO, ToP, and AnD.

Authors: Vahid Goodarzimehr and João Luiz Junho Pereira, Nima Khodadadi

DOI: 10.1371/journal.pone.0328005