A Survey of Normalization Methods in Multiobjective Evolutionary Algorithms

A real-world multiobjective optimization problem (MOP) usually has differently scaled objectives. Objective space normalization has been widely used in multiobjective optimization evolutionary algorithms (MOEAs). Without objective space normalization, most of the MOEAs may fail to obtain uniformly d...

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Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 25; H. 6; S. 1028 - 1048
Hauptverfasser:	He, Linjun, Ishibuchi, Hisao, Trivedi, Anupam, Wang, Handing, Nan, Yang, Srinivasan, Dipti
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.12.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Dominance resistant solution (DRS) Estimation Evolutionary algorithms Evolutionary computation evolutionary multiobjective optimization (EMO) Genetic algorithms ideal point Mopping Multiple objective analysis nadir point objective space normalization Optimization Pareto optimization Resistance Search problems
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
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