Genetic algorithm and tabu search algorithm for solving the static manycast RWA problem in optical networks

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• 作者：Amiyne Zakouni ; Jiawei Luo ; Fouad Kharroubi
• 关键词：Manycast ; Routing and wavelength assignment ; Metaheuristics ; Genetic algorithm ; Tabu search algorithm ; Optical networks
• 刊名：Journal of Combinatorial Optimization
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：33
• 期：2
• 页码：726-741
• 全文大小：
• 刊物类别：Mathematics and Statistics
• 刊物主题：Combinatorics; Convex and Discrete Geometry; Mathematical Modeling and Industrial Mathematics; Theory of Computation; Optimization; Operation Research/Decision Theory;
• 出版者：Springer US
• ISSN：1573-2886
• 卷排序：33

文摘

The static routing and wavelength assignment (RWA) problem in Optical Networks is a combinatorial optimization problem fit to iterative search methods. In this paper we deal with the static manycast RWA problem in optical networks and solve it by maximizing the number of manycast request established for a given number of wavelengths. In this article, we implement and compare the performance of two metaheuristics namely the GA “Genetic Algorithm” and the TSA “Tabu Search Algorithm”. The proposed algorithms solve, approximately, the wavelength assignment problem and a backtracking approach is used to solve the routing problem. We first introduce our algorithms. We then evaluate and compare their performance. We corroborate our theoretical findings through extensive simulations. Representative empirical results show the accuracy of our GA and TSA.