纯固定收费运输问题

IF 0.9 4区 数学 Q3 MATHEMATICS, APPLIED
Pengfei Zhu , Guangting Chen , Yong Chen , An Zhang
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引用次数: 0

摘要

纯固定费用运输问题是经典运输问题的一个众所周知的变体,其中将货物从一个来源发送到目的地的成本只等于固定费用,而不考虑流量。目标是将运输可用货物的总成本降至最低,以满足所需的需求。因此,我们首先证明,即使只有两个目的地,这个问题也是np困难的,当输入目的地数量时,它是强np困难的。这两个新的复杂度结果是对该问题先前的复杂度结果的重要补充。然后,我们提出了两种简单但新颖的近似算法,它们具有恒定的最坏情况比,并使用整数凸优化模型证明了这一点。虽然我们的近似算法适用于少数目的地,但据我们所知,这是第一个处理纯固定收费运输问题的近似算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the pure fixed charge transportation problem
The pure fixed charge transportation problem is a well-known variant of the classic transportation problem where the cost of sending goods from a source to a destination only equals a fixed charge, regardless of the flow quantity. The objective is to minimize the total cost of shipping available goods to meet the required demands. Hence, we first demonstrate that this problem is NP-hard even when there are only two destinations, and it is Strong NP-hard when the number of destinations is input. These two new complexity results are an important supplement to the previous complexity results of this problem. Then, we propose two simple but novel approximation algorithms with a constant worst-case ratio, which is proved using an integer convex optimization model. Although our approximation algorithm applies to a few destinations, to our knowledge, it is the first approximation algorithm to handle the pure fixed-charge transportation problem.
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来源期刊
Discrete Optimization
Discrete Optimization 管理科学-应用数学
CiteScore
2.10
自引率
9.10%
发文量
30
审稿时长
>12 weeks
期刊介绍: Discrete Optimization publishes research papers on the mathematical, computational and applied aspects of all areas of integer programming and combinatorial optimization. In addition to reports on mathematical results pertinent to discrete optimization, the journal welcomes submissions on algorithmic developments, computational experiments, and novel applications (in particular, large-scale and real-time applications). The journal also publishes clearly labelled surveys, reviews, short notes, and open problems. Manuscripts submitted for possible publication to Discrete Optimization should report on original research, should not have been previously published, and should not be under consideration for publication by any other journal.
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