Identifying Pareto Fronts Reliably Using a Multistage Reference-Vector-Based Framework

Evolutionary multiobjective and many-objective optimization (EMO and EMaO) algorithms are increasingly used to identify the true shape and location of the Pareto-optimal front using a few representative well-converged and well-distributed solutions. The reason for their popularity is due to their ab...

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Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 28; H. 1; S. 252 - 266
Hauptverfasser:	Deb, Kalyanmoy, Lopes, Claudio Lucio do Val, Martins, Flávio Vinícius Cruzeiro, Wanner, Elizabeth Fialho
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.02.2024
Schlagworte:	Algorithms Convergence Decision analysis Evolutionary algorithms Multiple objective analysis Pareto optimum
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
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