Mixed-integer nonlinear programming 2018

Mixed-Integer Nonlinear Programming (MINLP) is the area of optimization that addresses nonlinear problems with continuous and integer variables. MINLP has proven to be a powerful tool for modeling. At the same time, it combines algorithmic design challenges from combinatorial and nonlinear optimizat...

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Vydáno v:Optimization and engineering Ročník 20; číslo 2; s. 301 - 306
Hlavní autor: Sahinidis, Nikolaos V.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.06.2019
Springer Nature B.V
Témata:
Algorithms
Combinatorial analysis
Continuity (mathematics)
Control
Design optimization
Editorial
Engineering
Environmental Management
Financial Engineering
Mathematics
Mathematics and Statistics
Nonlinear programming
Operations Research/Decision Theory
Optimization
Systems Theory
Combinatorial optimization
MINLP
Nonlinear optimization
ISSN:1389-4420, 1573-2924
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Abstract Mixed-Integer Nonlinear Programming (MINLP) is the area of optimization that addresses nonlinear problems with continuous and integer variables. MINLP has proven to be a powerful tool for modeling. At the same time, it combines algorithmic design challenges from combinatorial and nonlinear optimization. The MINLP field has received increased attention over the past two decades with contributions on the theoretical, algorithmic, and computational side originating from a growing community that involves engineers, mathematicians, and operations researchers. This special issue was motivated by a seminar on MINLP that took place in Dagstuhl, Germany in 2018. The purpose of this article is to provide a brief introduction to the field and the articles of the special issue.
AbstractList Mixed-Integer Nonlinear Programming (MINLP) is the area of optimization that addresses nonlinear problems with continuous and integer variables. MINLP has proven to be a powerful tool for modeling. At the same time, it combines algorithmic design challenges from combinatorial and nonlinear optimization. The MINLP field has received increased attention over the past two decades with contributions on the theoretical, algorithmic, and computational side originating from a growing community that involves engineers, mathematicians, and operations researchers. This special issue was motivated by a seminar on MINLP that took place in Dagstuhl, Germany in 2018. The purpose of this article is to provide a brief introduction to the field and the articles of the special issue.
Author Sahinidis, Nikolaos V.
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  givenname: Nikolaos V.
  surname: Sahinidis
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ISSN 1389-4420
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Issue 2
Keywords Combinatorial optimization
MINLP
Nonlinear optimization
Language English
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PublicationSubtitle International Multidisciplinary Journal to Promote Optimization Theory & Applications in Engineering Sciences
PublicationTitle Optimization and engineering
PublicationTitleAbbrev Optim Eng
PublicationYear 2019
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Springer Nature B.V
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Snippet Mixed-Integer Nonlinear Programming (MINLP) is the area of optimization that addresses nonlinear problems with continuous and integer variables. MINLP has...
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SubjectTerms Algorithms
Combinatorial analysis
Continuity (mathematics)
Control
Design optimization
Editorial
Engineering
Environmental Management
Financial Engineering
Mathematics
Mathematics and Statistics
Nonlinear programming
Operations Research/Decision Theory
Optimization
Systems Theory
Title Mixed-integer nonlinear programming 2018
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Volume 20
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