Integrating nonlinear branch-and-bound and outer approximation for convex Mixed Integer Nonlinear Programming

In this paper, we present a new hybrid algorithm for convex Mixed Integer Nonlinear Programming (MINLP). The proposed hybrid algorithm is an improved version of the classical nonlinear branch-and-bound (BB) procedure, where the enhancements are obtained with the application of the outer approximatio...

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Veröffentlicht in:	Journal of global optimization Jg. 60; H. 2; S. 373 - 389
Hauptverfasser:	Melo, Wendel, Fampa, Marcia, Raupp, Fernanda
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Boston Springer US 01.10.2014 Springer
Schlagworte:	Algorithms Comparative analysis Computer Science Mathematics Mathematics and Statistics Operations Research/Decision Theory Optimization Real Functions Branch-and-bound Mixed Integer Nonlinear Programming Outer approximation Hybrid algorithm
ISSN:	0925-5001, 1573-2916
Online-Zugang:	Volltext
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