Multiobjectivization of Single-Objective Optimization in Evolutionary Computation: A Survey

• Published in: IEEE transactions on cybernetics Vol. 53; no. 6; pp. 3702 - 3715
• Main Authors: Ma, Xiaoliang, Huang, Zhitao, Li, Xiaodong, Qi, Yutao, Wang, Lei, Zhu, Zexuan
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.06.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Computer science; Evolutionary algorithms; Evolutionary computation; multiobjectivization; Multiobjectivization via decomposition (MVD); multiobjectivization via helper-objectives (MHOs); multiobjectivization via scalarizing functions (MSFs); Multiple objective analysis; Optimization; Software engineering; Systematics; Taxonomy; Transforms
• ISSN: 2168-2267; 2168-2275; 2168-2275
• DOI: 10.1109/TCYB.2021.3120788

Multiobjectivization has emerged as a new promising paradigm to solve single-objective optimization problems (SOPs) in evolutionary computation, where an SOP is transformed into a multiobjective optimization problem (MOP) and solved by an evolutionary algorithm to find the optimal solutions of the o...