首页> 外文会议>International Symposium on Advanced Intelligent Systems;International Conference on Soft Computing and Intelligent Systems >Pseudo-Polynomial Time Algorithms for Producing Cardinality Constrained Packages by Multi-Head Weighers
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Pseudo-Polynomial Time Algorithms for Producing Cardinality Constrained Packages by Multi-Head Weighers

机译:用多头称重器产生基数受限包装的伪多项式时间算法

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A subset selection problem from a finite set of items is considered, where a constraint is imposed on the cardinality of a selected subset. The subset selection problem is motivated by automated packaging systems, so-called multi-head weighers. Given a set of n items with their integral weights, a positive integer target weight t and a positive integer k, the subset selection problem asks to find a subset of the items so that the total weight of chosen items is no less than the target weight, and the number of the chosen items is exactly k, and further the total weight of them is as close to the target weight as possible. In this paper, an O(knt) time algorithm is presented to solve the subset selection problem. Numerical experiments are also conducted to demonstrate the performance of the pseudo-polynomial time algorithm on certain test instances having a feasible solution, and the results are reported.
机译:考虑从有限的一组项目中选择子集的问题,其中对所选子集的基数施加了约束。子集选择问题是由自动包装系统(所谓的多头秤)引起的。给定一组具有整数权重,正整数目标权重t和正整数k的项,子集选择问题要求找到项的子集,以使所选项的总权重不小于目标权重,所选项目的数量恰好是k,并且它们的总重量尽可能接近目标重量。本文提出了一种O(knt)时间算法来解决子集选择问题。还进行了数值实验,以证明伪多项式时间算法在某些具有可行解的测试实例上的性能,并报告了结果。

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