Disruption management in the airline industry-Concepts, models and methods
Computers and Operations Research
Lifted cover facets of the 0-1 knapsack polytope with GUB constraints
Operations Research Letters
Cliques and clustering: A combinatorial approach
Operations Research Letters
A family of inequalities for the generalized assignment polytope
Operations Research Letters
A family of facets for the uncapacitated p-median polytope
Operations Research Letters
Flow pack facets of the single node fixed-charge flow polytope
Operations Research Letters
Flow pack facets of the single node fixed-charge flow polytope
Operations Research Letters
Relax-and-fix decomposition technique for solving large scale grid-based location problems
Computers and Industrial Engineering
Binary Accelerated Particle Swarm Algorithm (BAPSA) for discrete optimization problems
Journal of Global Optimization
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MINTO is a software system that solves mixed-integer linear programs by a branch-and-bound algorithm with linear programming relaxations. It also provides automatic constraint classification, preprocessing, primal heuristics and constraint generation. Moreover, the user can enrich the basic algorithm by providing a variety of specialized application routines that can customize MINTO to achieve maximum efficiency for a problem class.