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GitHub12d
PaPILO — Parallel Presolve for Integer and Linear Optimization
PaPILO, a C++14-based software package, provides parallel presolve routines for (mixed integer) linear programming problems. The routines are implemented using templates which allows switching to ...
SciELO1y
A Mixed-Integer convex formulation for production optimization of gas-lifted oil fields with routing and pressure constraints
The continuous convex approximation has the advantage of being quite compact when compared to three-dimensional piecewise-linear models. In the end, the production optimization problem is approximated ...
marktechpost1y
Researchers from MIT and ETH Zurich Developed a Machine-Learning Technique for Enhanced Mixed Integer Linear Programs (MILP) Solving Through Dynamic Separator Selection
Efficiently tackling complex optimization problems, ranging from global package routing to power grid management, has been a persistent challenge. Traditional methods, notably mixed-integer linear ...
SciELO2y
Integer linear models with a polynomial number of variables and constraints for some classical combinatorial optimization problems
modeling combinatorial optimization problems; optimization in graphs; characterization of connected ... combinatorial optimization problems using commercial codes of mixed linear integer programming ...
Oak Ridge National Lab3y
Design Considerations for GPU-based Mixed Integer Programming on Parallel Computing Platforms
Mixed Integer Programming (MIP) is a powerful abstraction in combinatorial optimization that finds real-life application ... lies in solving problems whose individual matrix sizes (of the linear ...
syncedreview3y
DeepMind & Google Use Neural Networks to Solve Mixed Integer Programs
Linear programming is used to maximize or minimize a linear objective function subject to one or more constraints, while mixed integer programming (MIP) adds one additional condition: that at least ...