受限路由和频谱分配问题的分支-切割-价格算法

IF 0.9 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Ibrahima Diarrassouba, Youssouf Hadhbi, A. Ridha Mahjoub
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引用次数: 0

摘要

受限路由和频谱分配(C-RSA)问题出现在 5G 电信光网络的设计中。给定一个无向、无环、连通的图G,一个由可用连续频隙\({\mathbb {S}}\)组成的光频谱,以及一组流量需求K,C-RSA包括为每个流量需求\(k\in K\)在G中分配一条起点和终点之间的路径,以及\({\mathbb {S}}\)中的一个连续频隙子集,该子集受某些技术约束,同时优化一些线性目标函数。在本文中,我们设计了一种精确算法来求解 C-RSA。我们首先介绍了该问题的扩展整数编程公式。然后,我们研究了相关的多面体,并引入了几类有效的不等式。基于这些结果,我们为该问题设计了一种 "分支-切割-加价 "算法,并进行了广泛的计算研究。我们还将该算法与最先进的分支-切割算法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Branch-and-cut-and-price algorithm for the constrained-routing and spectrum assignment problem

Branch-and-cut-and-price algorithm for the constrained-routing and spectrum assignment problem

The Constrained-Routing and Spectrum Assignment (C-RSA) problem arises in the design of 5G telecommunication optical networks. Given an undirected, loopless, and connected graph G, an optical spectrum of available contiguous frequency slots \({\mathbb {S}}\), and a set of traffic demands K, the C-RSA consists of assigning, to each traffic demand \(k\in K\), a path in G between its origin and destination, and a subset of contiguous frequency slots in \({\mathbb {S}}\) subject to certain technological constraints while optimizing some linear objective function. In this paper, we devise an exact algorithm to solve the C-RSA. We first introduce an extended integer programming formulation for the problem. Then we investigate the associated polytope and introduce several classes of valid inequalities. Based on these results, we devise a Branch-and-Cut-and-Price algorithm for the problem and present an extensive computational study. This is also be compared with a Branch-and-Cut algorithm of the state-of-the-art.

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来源期刊
Journal of Combinatorial Optimization
Journal of Combinatorial Optimization 数学-计算机:跨学科应用
CiteScore
2.00
自引率
10.00%
发文量
83
审稿时长
6 months
期刊介绍: The objective of Journal of Combinatorial Optimization is to advance and promote the theory and applications of combinatorial optimization, which is an area of research at the intersection of applied mathematics, computer science, and operations research and which overlaps with many other areas such as computation complexity, computational biology, VLSI design, communication networks, and management science. It includes complexity analysis and algorithm design for combinatorial optimization problems, numerical experiments and problem discovery with applications in science and engineering. The Journal of Combinatorial Optimization publishes refereed papers dealing with all theoretical, computational and applied aspects of combinatorial optimization. It also publishes reviews of appropriate books and special issues of journals.
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