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Title:      A HEURISTIC DYNAMIC-PROGRAMMING ALGORITHM FOR 2D UNCONSTRAINED GUILLOTINE CUTTING
Author(s):      X.song , C.b.chu , Y.y.nie
ISBN:      972-98947-3-6
Editors:      Nuno Guimarães and Pedro Isaías
Year:      2004
Edition:      Single
Keywords:      Unconstraint knapsack problem; Heuristic dynamic programming.
Type:      Full Paper
First Page:      1527
Last Page:      1534
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      In this paper, a heuristic dynamic-programming recursion is proposed for solving unconstrained 2D knapsack problem efficiently. The algorithm we propose is an incompletely enumerative method, in which some intricate cutting patterns may not be enumerated. Compared with the traditional dynamic-programming, the algorithm gives a high percentage of optimal solutions (93%) with a much lowered computational complexity. Some theoretical analyses for the algorithm are performed. Computational results are given for small and medium-sized problems.
   

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