What is the best open-source solver for large-scale MILP optimization?
2024年7月7日 · Currentlly, I am using ortools with SCIP/CBC solvers for a large scale optimization problem, which turned out to be quite slow. The integer part of my problem is due to a piece-wise …
Runtime of LP vs MILP - Operations Research Stack Exchange
Runtime of LP vs MILP Ask Question Asked 2 years, 8 months ago Modified 2 years, 8 months ago
mixed integer programming - Complexity of LP and MILP Problems ...
2019年11月11日 · My original problem is an MILP. I make it an LP by relaxing the integer variables. Can someone please comment on the complexity, solvability and optimality of MILP and LP problems, in …
mixed integer programming - Guides for strong MILP Formulations ...
Is the scientific community able to provide a guide for addressing the strength of a MILP formulation? Something like "disciplined convex programming" but for strong MILPs, lets call it "disciplined MILP …
MILP: is it NP-complete or NP-hard?
2019年11月12日 · The pieces of information I get online are sometimes confusing. Someone says MILP problems are NP-hard, and somewhere else I found the claim that MILP problems are NP-complete. …
What is the difference bewteen CP and MILP approaches in Job Shop ...
2022年7月14日 · I do have a large-scale Job Shop Scheduling problem (40k binary variables) and I need to find a fast and efficient way of finding a feasible solution (preferably without any commercial …
How can I identify the reason that makes a MILP model hard for solvers ...
2020年9月25日 · For a MIP, out of memory exceptions typically happen when the tree size becomes very large. If your LP relaxation is weak, then intuitively your model may become easier if you can …
Equivalent constraints in MILP give different answers
2024年2月3日 · Equivalent constraints in MILP give different answers Ask Question Asked 2 years ago Modified 2 years ago
Solving a large scale MILP problem with cplex takes long time
2025年7月5日 · I am solving a large scale MILP problem with cplex, it takes too much time and cannot obtain the solution, does it means that cplex is not suitable for this large scale MILP problem? what …
Does it make sense to use a MILP solver for a scheduling problem but ...
2020年9月28日 · I know that MILP solvers are bad with scheduling problems. However, if we are allowed to keep unscheduled some tasks (i.e a solution with 0 scheduled tasks is a feasible solution …