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首页> 外文期刊>Journal of industrial and management optimization >A Lagrangian Dual And Surrogate Method For Multi-dimensional Quadratic Knapsack Problems
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A Lagrangian Dual And Surrogate Method For Multi-dimensional Quadratic Knapsack Problems

机译:多维二次背包问题的拉格朗日对偶和替代方法

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摘要

Quadratic 0-1 knapsack problems have a variety of applications in various areas such as flexible manufacturing systems, location of transportation facilities and telecommunications. In this paper we present a branch-and-bound method for solving multi-dimensional quadratic 0-1 knapsack problems. Outer approximation and bundle method are used to compute the Lagrangian bound where the Lagrangian relaxation is solved by the maximum flow algorithm. We also present a surrogate constraint heuristic for finding feasible solutions. Preliminary computational results for small to medium size test problems are reported.
机译:二次0-1背包问题在各种领域中都有广泛的应用,例如柔性制造系统,运输设施和电信的位置。在本文中,我们提出了一种求解多维二次0-1背包问题的分支定界方法。使用外部逼近和束方法来计算拉格朗日边界,其中最大流量算法可解决拉格朗日松弛。我们还提出了替代约束启发式算法,以找到可行的解决方案。报告了中小型测试问题的初步计算结果。

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