Core-guided method for constraint-based multi-objective combinatorial optimization

Multi-Objective Combinatorial Optimization(MOCO), which consists of several conflicting objectives to be optimized, finds an ever-increasing number of uses in many real-world applications. In past years, the research of MOCO mainly focuses on evolutionary algorithms. Recently, constraint-based metho...

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Bibliographic Details
Published in:	Applied intelligence (Dordrecht, Netherlands) Vol. 51; no. 6; pp. 3865 - 3879
Main Authors:	Tian, Naiyu, Ouyang, Dantong, Wang, Yiyuan, Hou, Yimou, Zhang, Liming
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.06.2021 Springer Nature B.V
Subjects:	Algorithms Artificial Intelligence Combinatorial analysis Computer Science Constraints Evolutionary algorithms Machines Manufacturing Mechanical Engineering Multiple objective analysis Optimization Processes Pareto front Constraint Minimal correction set SAT Multi-objective combinatorial optimization
ISSN:	0924-669X, 1573-7497
Online Access:	Get full text
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