Integer programming models for 3-dimensional Xingdu problem

The method proposed in [3, 4] is based on integer programming model for solving genome assembly as a problem of finding a long simple path in a specific graph, which

Linear programming (LP) solvers come from the tradition of optimization, and are designed to find feasible solutions that are optimal with respect to some optimization

also begin by mining closed (or δ-closed) patterns (itemsets) and their extensions and then perform k-Means clustering on them. Perkowitz and Etzioni [Perkowitz and Etzioni,

Keywords periodic scheduling, resource-constrained modulo scheduling, in- teger linear programming formulations, lower bounds, column generation..

For the balanced assignment problem and the balanced subset problem, the result tables are similar to the balanced TSP (i.e. time to optimal with the lifted formulation and the

We observe that, in terms of number of (not necessarily optimal) integer solutions found, the OOE model or its variant OOE Prec outperform the other formulations on instance sets

However, for hard instances with a considerable number of disjunctions, such as the instances with 10 tasks and 3 machines, the execution times of the MILP rocket up and it is

This hierarchy also provides us with a theorem of the alternative (or duality theorem) which uses a non linear polynomial, a discrete analogue of the celebrated Farkas Lemma in