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On Unbounded Zero-One Knapsack with Discrete-Sized Objects

机译:具有离散对象的无边界零一背包

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摘要

This paper presents an approximated solution for an unbounded knapsack problem where the sizes of objects are discrete values:rnmax z_n(M) = 1 ∑~n_(I=1) P_I x_IrnS.t. ∑~n_(I=1) c_I x_I ≤ β_0 nrnx_I ∈ {0,1} any I = 1,…,nrnwhere p_I s are the profits that are uniformly distributed random variables in [0,1]. The sizes c,;s are discrete random variables which are distributed uniformly in {1/M, 2/M, …,(M- 1)/M, 1}. Z_n(M) is the total profit to be maximized. Assuming that hi is large, it is found that the optimal profit z_n(M) is approximately equal to (2β_0/3)~(1/2)(1 - 0.3062((β_0)~(1/2)M)~(-1)). An example from auction is used to explain and illustrate the use of the derived solution in estimating the profit.
机译:本文提出了一个无界背包问题的近似解,其中对象的大小是离散值:rnmax z_n(M)= 1 / n ∑〜n_(I = 1)P_I x_IrnS.t。 ∑〜n_(I = 1)c_I x_I≤β_0nrnx_I∈{0,1}任何I = 1,…,nrn其中p_Is是在[0,1]中均匀分布的随机变量的利润。大小c,s是离散的随机变量,它们以{1 / M,2 / M,…,(M-1)/ M,1}均匀分布。 Z_n(M)是要最大化的总利润。假设hi大,则发现最优利润z_n(M)大约等于(2β_0/ 3)〜(1/2)(1-0.3062((β_0)〜(1/2)M)〜( -1))。拍卖中的一个示例用于解释和说明派生解决方案在估算利润中的使用。

著录项

  • 来源
  • 作者

    K.I.-J. Ho; J. Wu; J. Sum;

  • 作者单位

    Department of Computer Science and Communication En- gineering, Providence University, Sha Lu, Taiwan;

    Department of Computer Science and Engineering, Florida Atlantic University, Boca Raton, Florida 33431, USA;

    Institute of Electronic Commerce, National Chung Hsing University, Taichung 402, Taiwan;

  • 收录信息 美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    auction; E-Commerce; knapsack problems;

    机译:拍卖;电子商务;背包问题;

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