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条形装箱问题的优化模型和增广Lagrange算法
引用本文:于洪霞,张宏伟,张立卫.条形装箱问题的优化模型和增广Lagrange算法[J].东北数学,2006,22(4):441-450.
作者姓名:于洪霞  张宏伟  张立卫
作者单位:Department of Mathematics and Physics Shanghai University of Electric Power,Shanghai,200090,Department of Applied Mathematics,Dalian University of Technology,Dalian,116024,Department of Applied Mathematics,Dalian University of Technology,Dalian,116024
摘    要:This paper formulates a two-dimensional strip packing problem as a non-linear programming(NLP)problem and establishes the first-order optimality con-ditions for the NLP problem.A numerical algorithm for solving this NLP problemis given to find exact solutions to strip-packing problems involving up to 10 items.Approximate solutions can be found for big-sized problems by decomposing the setof items into small-sized blocks of which each block adopts the proposed numericalalgorithm.Numerical results show that the approximate solutions to big-sized prob-lems obtained by this method are superior to those by NFDH,FFDH and BFDHapproaches.

关 键 词:排样装箱问题  优化模型  扩展拉格朗日法  一阶最优条件

An Optimization Model for the Strip-packing Problem and Its Augmented Lagrangian Method
YU Hong-xia,ZHANG Hong-wei,ZHANG Li-wei.An Optimization Model for the Strip-packing Problem and Its Augmented Lagrangian Method[J].Northeastern Mathematical Journal,2006,22(4):441-450.
Authors:YU Hong-xia  ZHANG Hong-wei  ZHANG Li-wei
Institution:[1]Department of Mathematics and Physics, Shanghai University of Electric Power, Shanghai, 200090 [2]Department of Applied Mathematics, Dalian University of Technology, Dalian, 116024
Abstract:This paper formulates a two-dimensional strip packing problem as a non- linear programming(NLP)problem and establishes the first-order optimality con- ditions for the NLP problem.A numerical algorithm for solving this NLP problem is given to find exact solutions to strip-packing problems involving up to 10 items. Approximate solutions can be found for big-sized problems by decomposing the set of items into small-sized blocks of which each block adopts the proposed numerical algorithm.Numerical results show that the approximate solutions to big-sized prob- lems obtained by this method are superior to those by NFDH,FFDH and BFDH approaches.
Keywords:strip-packing problem  augmented lagrangian method  first-order optimality condition
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