Results 201 to 210 of about 3,300 (231)
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Global solution of nonlinear mixed-integer bilevel programs
Journal of Global Optimization, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Review of Nonlinear Mixed-Integer and Disjunctive Programming Techniques
Optimization and Engineering, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Mixed-integer nonlinear programming with binary variables
2022Operational 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 Applications
1999In 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
2021Die 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, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Mixed-Integer Nonlinear Programming Problems (MINLPs)
1999Mixed-integer problems are those that involve both continuous and integer variables. The introduction of integer variables allows the modeling of complex decisions through graph theoretic representations denoted as superstructures (Floudas, 1995). This representation leads to the simultaneous determination of the optimal structure of a network and its ...
Christodoulos A. Floudas +8 more
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Tighter relaxations in mixed-integer nonlinear programming
2020Mixed-integer nonlinear programming (MINLP) is one of the most important classes of mathematical optimization problems that combines difficulties from mixed-integer linear programming and nonlinear programming, namely optimizing over a set that is described by integrality, linear, and nonlinear restrictions.
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Computational Experience in Nonlinear Mixed Integer Programming
1997An interior-point algorithm within a branch-and-bound framework for solving nonlinear mixed integer programs is described. In contrast to solving the relaxation to optimality at each tree node, the relaxation is only solved to near-optimality. Analogous to using advanced bases for warmstart solutions in the case of linear MIP, a “dynamic” collection of
Eva K. Lee, John Mitchell
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