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

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-obj...

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Bibliographic Details
Published inApplied soft computing Vol. 93; p. 106382
Main Authors Liu, Qi, Li, Xiaofeng, Liu, Haitao, Guo, Zhaoxia
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.08.2020
Subjects
Applications
Discrete many-objective optimization
Literature review
Metaheuristics
Literature review
Applications
Discrete many-objective optimization
Metaheuristics
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Summary: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. •Multi-objective discrete optimization problems using metaheuristics are reviewed.•Various multi-objective metaheuristics for relevant problems are reviewed.•Performance metrics and test instances are discussed.•Future research directions are suggested.
ISSN:1568-4946
1872-9681
DOI:10.1016/j.asoc.2020.106382