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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Bibliographic Details

Published in:	IEEE transactions on evolutionary computation Vol. 25; no. 6; pp. 1028 - 1048
Main Authors:	He, Linjun, Ishibuchi, Hisao, Trivedi, Anupam, Wang, Handing, Nan, Yang, Srinivasan, Dipti
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.12.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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 Access:	Get full text
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