Results 231 to 240 of about 68,989 (275)

Inexact feasibility pump for mixed integer nonlinear programming

Information Processing Letters, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Min Li 0028, Q. Liu
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Global solution of nonlinear mixed-integer bilevel programs

Journal of Global Optimization, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Mixed Integer Nonlinear Programming

2012
Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions.
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Scheduling local and express trains in suburban rail transit lines: Mixed-integer nonlinear programming and adaptive genetic algorithm

Computers & Operations Research, 2021
Lianhua Tang, A. D’Ariano, Xingfang Xu, Yantong Li, Xiaobing Ding, M. Samà   +5 more
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Review of Nonlinear Mixed-Integer and Disjunctive Programming Techniques

Optimization and Engineering, 2002
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Mixed-integer nonlinear programming with binary variables

2022
Operational problems involving discrete structures naturally arise in a vast number of applications which provide the impetus for the development of mixed-integer programming (MIP). In this dissertation, we are mainly concerned with the theory of mixed-integer nonlinear programming (MINLP) with indicator variables as well as their applications in other
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Mixed-integer nonlinear programming models for optimal design of reliable chemical plants

Computers and Chemical Engineering, 2017
Motivated by reliability/availability concerns in chemical plants, this paper proposes MINLP models to determine the optimal selection of parallel units considering the trade-off between availability and cost.
Yixin Ye, I. Grossmann, J. M. Pinto
semanticscholar   +1 more source

Mixed-Integer Nonlinear Programming Applications

1999
In this chapter was apply different approaches to solve four rather different MINLP problems: special extensions to time-indexed formulations of production planning problems; a production planning problem in BASF’s petrochemical division; a site analysis of one of BASF’s bigger sites; and a process design problem.
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On cutting planes for mixed-integer nonlinear programming

2021
Die gemischt-ganzzahlige nichtlineare Programmierung ist eine leistungsstarke Technik, mit der wir Probleme modellieren und lösen können, die nichtlineare Funktionen und kontinuierliche und diskrete Variablen enthalten. Die hoch- modernen Löser für gemischt-ganzzahlige nichtlineare Programme (MINLPs) verwenden unter anderem eine Kombination der Branch ...
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Integrating SQP and Branch-and-Bound for Mixed Integer Nonlinear Programming

Computational Optimization and Applications, 2001
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