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Determining the K-best solutions of knapsack problems

机译:确定背包问题的K-最佳解

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摘要

It is well-known that knapsack problems arise as subproblems of a number of large-scale integer optimization problems. In order to solve these large problems, it is necessary to solve the subproblems efficiently, and for many of them it can be useful to determine the K-best solutions. In this paper, a branch-and-bound method for the unbounded knapsack problem described in the literature is extended to determine the K-best solutions of unbounded and bounded knapsack problems. We show that the proposed extension determines exactly the K-best solutions and we solve important classical instances using high values of K.
机译:众所周知,背包问题是许多大规模整数优化问题的子问题。为了解决这些大问题,有必要有效地解决子问题,对于许多子问题,确定K-最佳解可能很有用。在本文中,扩展了文献中描述的无界背包问题的分支定界方法,以确定无界和有界背包问题的K-最佳解。我们证明了拟议的扩展恰好确定了K最优解,并且我们使用K的高值解决了重要的经典实例。

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  • 来源
    《Computers & operations research》 |2014年第9期|71-82|共12页
  • 作者单位

    Universidade de Sao Paulo, Instituto de Ciencias Matematicas e de Computacao, Caixa Postal 668, 13560-970 Sao Carlos, SP, Brazil;

    Universidade de Sao Paulo, Instituto de Ciencias Matematicas e de Computacao, Caixa Postal 668, 13560-970 Sao Carlos, SP, Brazil;

    Universidade de Sao Paulo, Instituto de Ciencias Matematicas e de Computacao, Caixa Postal 668, 13560-970 Sao Carlos, SP, Brazil;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Knapsack problems; Branch-and-bound; Best solutions;

    机译:背包问题;分支绑定最佳解决方案;

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