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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Vydané v:	Engineering optimization Ročník 54; číslo 6; s. 1004 - 1022
Hlavní autori:	Jaber, A., Lafon, P., Younes, R.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Abingdon Taylor & Francis 03.06.2022 Taylor & Francis Ltd
Predmet:	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
On-line prístup:	Získať plný text
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