A Branch-and-Bound Algorithm to Solve Large Scale Integer Quadratic Multi-Knapsack Problems

After a background on ransac , interval methods and Jaulin et al.’s ap- proach in Section 2, we describe in Section 3 an interval branch and bound algorithm that can compute the

The second node selection strategy greedily dives into potential feasible regions at each node of a best-first search using a FeasibleDiving procedure.. Each node handled by

The implementation s1-05 keeps this unique data structure for taking into account the two criteria in the randomized strategy, but the node selection using UBBox comes at a linear

More precisely, at each node of the search tree, we solve a robust Basic Cyclic Scheduling Problem (BCSP), which corresponds to the CJSP without resource constraints, using a

We consider the solution of hard problems of the knapsack family, like multidimensional knapsack problems or knap- sack sharing problems, to become possible in reasonable time with

For this purpose, we compute costs and durations corresponding to solutions visiting debris in their orbit inclination order which will form the set initializing the solution

L'évaluation d'un nœud de l'arbre de recherche a pour but de déterminer l'optimum de l'ensemble des solutions réalisables associé au nœud en question ou, au contraire, de

For a set of flowshop problem instances that consist in scheduling 20 jobs on 20 machines our IVM-based GPU-B&B processes on average 3.3 times as many nodes per second as