A branch-and-bound algorithm based on NSGAII for multi-objective mixed integer nonlinear optimization problems

Solving Multi-Objective Mixed Integer NonLinear Programming (MO-MINLP) problems is a point of interest for many researchers as they appear in several real-world applications, especially in the mechanical engineering field. Many researchers have proposed using hybrids of metaheuristics with mono-obje...

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Veröffentlicht in:	Engineering optimization Jg. 54; H. 6; S. 1004 - 1022
Hauptverfasser:	Jaber, A., Lafon, P., Younes, R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Abingdon Taylor & Francis 03.06.2022 Taylor & Francis Ltd
Schlagworte:	Algorithms branch-and-bound algorithm Engineering Sciences Genetic algorithms Heuristic methods Mechanical engineering MINLP problems Mixed integer mixed variables Multi-criteria Multiple criterion Multiple objective analysis Nonlinear programming NSGAII Optimization Sorting algorithms
ISSN:	0305-215X, 1029-0273
Online-Zugang:	Volltext
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