Multi-objective metaheuristics for discrete optimization problems: A review of the state-of-the-art

Abstract

Abstract This paper presents a state-of-the-art review on multi-objective metaheuristics for multi-objective discrete optimization problems (MODOPs). The relevant literature source and their distribution are presented firstly. We then review the literature from four perspectives, including existing multi-objective metaheuristics for MODOPs, application areas of MODOPs, performance metrics and test instances. Finally, some promising directions ranging from algorithms improvement to technical applications are outlined to inspire researchers to conduct research in related areas.