Enhanced formulation for the Guillotine 2D Cutting Knapsack Problem
نویسندگان
چکیده
Abstract We advance the state of art in Mixed-Integer Linear Programming formulations for Guillotine 2D Cutting Problems by (i) adapting a previously-known reduction to our preprocessing phase (plate-size normalization) and (ii) enhancing previous formulation (PP-G2KP from Furini et alli) cutting down its size symmetries. Our focus is Knapsack Problem with orthogonal unrestricted cuts, constrained demand, unlimited stages, no rotation – however, may be adapted many related problems. The code available. Concerning set 59 instances used benchmark original formulation, enhanced takes about 4 hours solve all while 12 53 them (the other six runs hit three-hour time limit each). integrate, both formulations, pricing framework proposed formulation; keeps significant advantage this situation. Finally, recently 80 harder instances, (with without framework) found: 22 optimal solutions (5 already known, 17 new); better lower bounds 25 instances; upper 58 instances.
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ژورنال
عنوان ژورنال: Mathematical Programming Computation
سال: 2022
ISSN: ['1867-2957', '1867-2949']
DOI: https://doi.org/10.1007/s12532-022-00222-4