A review and comparison of solvers for convex MINLP
In this paper, we present a review of deterministic software for solving convex MINLP
problems as well as a comprehensive comparison of a large selection of commonly …
problems as well as a comprehensive comparison of a large selection of commonly …
Non-convex mixed-integer nonlinear programming: A survey
S Burer, AN Letchford - Surveys in Operations Research and Management …, 2012 - Elsevier
A wide range of problems arising in practical applications can be formulated as Mixed-
Integer Nonlinear Programs (MINLPs). For the case in which the objective and constraint …
Integer Nonlinear Programs (MINLPs). For the case in which the objective and constraint …
The SCIP optimization suite 5.0
A Gleixner, L Eifler, T Gally, G Gamrath, P Gemander… - 2017 - opus4.kobv.de
This article describes new features and enhanced algorithms made available in version 5.0
of the SCIP Optimization Suite. In its central component, the constraint integer programming …
of the SCIP Optimization Suite. In its central component, the constraint integer programming …
SCIP: Global optimization of mixed-integer nonlinear programs in a branch-and-cut framework
S Vigerske, A Gleixner - Optimization Methods and Software, 2018 - Taylor & Francis
This paper describes the extensions that were added to the constraint integer programming
framework SCIP in order to enable it to solve convex and nonconvex mixed-integer …
framework SCIP in order to enable it to solve convex and nonconvex mixed-integer …
Global optimization advances in mixed-integer nonlinear programming, MINLP, and constrained derivative-free optimization, CDFO
This manuscript reviews recent advances in deterministic global optimization for Mixed-
Integer Nonlinear Programming (MINLP), as well as Constrained Derivative-Free …
Integer Nonlinear Programming (MINLP), as well as Constrained Derivative-Free …
Exploiting integrality in the global optimization of mixed-integer nonlinear programming problems with BARON
MR Kılınç, NV Sahinidis - Optimization Methods and Software, 2018 - Taylor & Francis
In this paper, we present recent developments in the global optimization software BARON to
address problems with integer variables. A primary development was the addition of mixed …
address problems with integer variables. A primary development was the addition of mixed …
Searching large neighborhoods for integer linear programs with contrastive learning
Abstract Integer Linear Programs (ILPs) are powerful tools for modeling and solving a large
number of combinatorial optimization problems. Recently, it has been shown that Large …
number of combinatorial optimization problems. Recently, it has been shown that Large …
The scip optimization suite 3.2
G Gamrath, T Fischer, T Gally, A Gleixner, G Hendel… - 2016 - opus4.kobv.de
The SCIP Optimization Suite is a software toolbox for generating and solving various classes
of mathematical optimization problems. Its major components are the modeling language …
of mathematical optimization problems. Its major components are the modeling language …
The machine learning for combinatorial optimization competition (ml4co): Results and insights
Combinatorial optimization is a well-established area in operations research and computer
science. Until recently, its methods have focused on solving problem instances in isolation …
science. Until recently, its methods have focused on solving problem instances in isolation …
A framework for solving mixed-integer semidefinite programs
T Gally, ME Pfetsch, S Ulbrich - Optimization Methods and Software, 2018 - Taylor & Francis
Mixed-integer semidefinite programs (MISDPs) arise in many applications and several
problem-specific solution approaches have been studied recently. In this paper, we …
problem-specific solution approaches have been studied recently. In this paper, we …