Mixed integer nonlinear programming tools: a practical overview

We present a review of available tools for solving mixed integer nonlinear programming problems. Our aim is to give the reader a flavor of the difficulties one could face and to discuss the tools one could use to try to overcome such difficulties.

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Veröffentlicht in:4OR Jg. 9; H. 4; S. 329 - 349
Hauptverfasser: D’Ambrosio, Claudia, Lodi, Andrea
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Berlin/Heidelberg Springer-Verlag 01.12.2011
Springer
Springer Nature B.V
Springer Verlag
Schlagworte:
Algorithms
Approximation
Business and Management
Computer Science
Industrial and Production Engineering
Invited Survey
Linear programming
Mixed integer
Nonlinear programming
Operations Research
Operations Research/Decision Theory
Optimization
Software
Mixed integer nonlinear programming
Software
Algorithms
90C30
90C11
ISSN:1619-4500, 1614-2411
Online-Zugang:Volltext
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Zusammenfassung:We present a review of available tools for solving mixed integer nonlinear programming problems. Our aim is to give the reader a flavor of the difficulties one could face and to discuss the tools one could use to try to overcome such difficulties.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1619-4500
1614-2411
DOI:10.1007/s10288-011-0181-9