Exploring the probabilistic graphic model of a hybrid multi-objective Bayesian estimation of distribution algorithm

The Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm (HMOBEDA) has shown to be very competitive for Many Objective Optimization Problems (MaOPs). The Probabilistic Graphic Model (PGM) of HMOBEDA expands the possibilities for exploration as it provides the joint probability of dec...

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Veröffentlicht in:	Applied soft computing Jg. 73; S. 328 - 343
Hauptverfasser:	Martins, Marcella S.R., Delgado, Myriam, Lüders, Ricardo, Santana, Roberto, Gonçalves, Richard A., de Almeida, Carolina P.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2018
Schlagworte:	Automatic algorithm configuration Estimation of distribution algorithms Multi-objective optimization Estimation of distribution algorithms Automatic algorithm configuration Multi-objective optimization
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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