回顾平面韦伯单一设施定位问题的扩展和求解方法

IF 4.1 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
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引用次数: 0

摘要

阿尔弗雷德-韦伯(Alfred Weber)于 1909 年提出了位置科学的经典基础结构之一。他的构想涉及为单一生产设施选址,以最小化从本地来源运输所需原材料的加权距离总和,以及将最终产品运送到一个或多个市场的加权距离总和。本文的首要目标是回顾这一简单经典的单一设施选址问题及其变体的主要进展。我们可以在文献中找到大量解决标准韦伯问题的算法。有些是迭代算法,有些则是有限算法,甚至适用于几何欧几里得空间和直线空间。本文的第二个目标是证明,标准韦伯问题的许多扩展问题都可以通过求解多项式数量的标准韦伯问题来解决。这一统一结果尤其意味着,由于标准韦伯问题可以在多项式时间内求解,所有这些扩展问题都是多项式可解的。此外,利用这种统一方法,我们还能在多项式时间内求解一些重要的平面非凸欧几里得位置问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reviewing extensions and solution methods of the planar Weber single facility location problem

One of the classic foundational constructs of Location Science was proposed by Alfred Weber in 1909. His construct involved finding the location for a single production facility which minimized the sum of weighted distances of transporting the needed raw materials from localized sources along with the sum of weighted distances in delivering the final product to one or more markets.

The first objective of this paper is to review the major advancements in this simple classic single facility location problem and its variations. One can find in the literature a very large number of algorithms to solve the standard Weber problem. Some are iterative and others are finite even for geometric Euclidean and rectilinear spaces. Moreover, some schemes are efficient (theoretically) and others are practically quite fast.

The second goal of this paper is to show that many extensions of the standard Weber problem can be solved by solving a polynomial number of standard Weber problems. This unifying result implies, in particular, that all these extensions are polynomially solvable since the standard Weber problem can be solved in polynomial time. In addition, with this unifying approach we solve some important planar non-convex Euclidean location problems in polynomial time.

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来源期刊
Computers & Operations Research
Computers & Operations Research 工程技术-工程:工业
CiteScore
8.60
自引率
8.70%
发文量
292
审稿时长
8.5 months
期刊介绍: Operations research and computers meet in a large number of scientific fields, many of which are of vital current concern to our troubled society. These include, among others, ecology, transportation, safety, reliability, urban planning, economics, inventory control, investment strategy and logistics (including reverse logistics). Computers & Operations Research provides an international forum for the application of computers and operations research techniques to problems in these and related fields.
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