Applying Backtracking Heuristics for Constrained Two-Dimensional Guillotine Cutting Problems
The Backtracking Heuristic (BH) methodology consists in to construct blocks of items by combination beetween heristics, that solve mathematical programming models, and backtrack search algorithm to figure out the best heuristics and their best ordering. BH has been re- cently introduced in the literature in order to solve three-dimensional Knapsack Loadin Problems, showing promising results. In the present Work we apply the same methodology to solve constrained two-dimensional Guillotine cutting problems. In order to assess the potentials of this novel ersion also for cutting problems, we conducted computational experiments on a set of difficult and well known benchmark instances.
KeywordsCutting Problems Backtracking Integer Programming
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