Effect of Objective Normalization and Penalty Parameter on Penalty Boundary Intersection Decomposition-Based Evolutionary Many-Objective Optimization Algorithms

An objective normalization strategy is essential in any evolutionary multiobjective or many-objective optimization (EMO or EMaO) algorithm, due to the distance calculations between objective vectors required to compute diversity and convergence of population members. For the decomposition-based EMO/...

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Veröffentlicht in:	Evolutionary computation Jg. 29; H. 1; S. 157
Hauptverfasser:	Chen, Lei, Deb, Kalyanmoy, Liu, Hai-Lin, Zhang, Qingfu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.03.2021
Schlagworte:	many-objective optimization Sensitivity analysis objective normalization evolutionary algorithm
ISSN:	1530-9304, 1530-9304
Online-Zugang:	Weitere Angaben
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