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Multiparametric Mixed Integer Linear Programming
2001Vivek Dua, Efstratios N. Pistikopoulos
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Problem Solving with Linear, Integer, and Mixed Integer Programming
2019William P. Fox, William C. Bauldry
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Optimization of sewer networks using the mixed-integer linear programming
Urban Water Journal, 2017exaly
Autoregressive RL Approach for Mixed-Integer Linear Programs
Paul Mingzheng Tang +2 moreopenaire +1 more source
Mixed Integer Linear Programming Formulation Techniques [PDF]
SIAM Review, 2015 Summary: A wide range of problems can be modeled as Mixed Integer Linear Programming (MIP) problems using standard formulation techniques. However, in some cases the resulting MIP can be either too weak or too large to be effectively solved by state of the art solvers. In this survey we review advanced MIP formulation techniques that result in stronger
Juan Pablo Vielma
exaly +5 more sources
Adaptive Cut Selection in Mixed-Integer Linear Programming
Open Journal of Mathematical Optimization, 2023 Cutting plane selection is a subroutine used in all modern mixed-integer linear programming solvers with the goal of selecting a subset of generated cuts that induce optimal solver performance.
Turner, Mark +3 more
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Mean Squared Variance Portfolio: A Mixed-Integer Linear Programming Formulation
Mathematics, 2021 The mean-variance (MV) portfolio is typically formulated as a quadratic programming (QP) problem that linearly combines the conflicting objectives of minimizing the risk and maximizing the expected return through a risk aversion profile parameter.
Francisco Fernández-Navarro +3 more
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Energies, 2017 This paper presents a comparison of optimization methods applied to islanded micro-grids including renewable energy sources, diesel generators and battery energy storage systems.
Alberto Dolara +3 more
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Analyzing Infeasible Mixed-Integer and Integer Linear Programs [PDF]
INFORMS Journal on Computing, 1999 Algorithms and computer-based tools for analyzing infeasible linear and nonlinear programs have been developed in recent years, but few such tools exist for infeasible mixed-integer or integer linear programs. One approach that has proven especially useful for infeasible linear programs is the isolation of an Irreducible Infeasible Set of constraints (
Olivier Guieu, John W. Chinneck
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