Applying Backtracking Heuristics for Constrained Two-Dimensional Guillotine Cutting Problems
نویسندگان
چکیده
The Backtracking Heuristic (BH) methodology consists in to construct of items by combination between heuristics that solve mathematical programming models, and backtrack search algorithm to figure out the best heuristics and their best ordering. BH was firstly introduced in the literature in order to solve three-dimensional Knapsack Loading Problems, showing promising results. In this present work, we apply the same methodology to solve constrained two-dimensional guillotine cutting problems. In order to assess the potentials of this novel version also for cutting problems, we conducted computational experiments on a set of difficult and well known benchmark instances.
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