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NCUEIR > College of Engineering > Department and Graduate Institute of Computer Science and Information Engineering > Periodical Articles > Item 987654321/9938

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/9938

Title:	Genetic Algorithm for Finding Minimal Cost Light Forest of Multicast Routing on WDM Networks
Authors:	Din, Der-Rong
Contributors:	資訊工程系
Keywords:	Light-forest;Multicast routing;Wavelength division multiplexing (WDM);Genetic algorithm;Path-oriented encoding
Date:	2008-06
Issue Date:	2012-04-30T04:32:41Z
Publisher:	Springer Verlag
Abstract:	Wavelength division multiplexing (WDM) is an important technique to make use of the large amount of bandwidth in optical fibers to meet the bandwidth requirements of applications. Multicast is the transmission of information from one source to multiple destinations simultaneously. Given a multicast request in a WDM network, the goal is to find a set of light trees, the assigned wavelengths of light trees, and construct a light forest. In this paper, the minimal cost multicast routing problem (MCMRP) on WDM networks with tap-and-continue (TaC) nodes is defined and studied. A new cost model which consists of the wavelength usage and communication cost is defined. The objective is to minimize the sum of the cost of used wavelengths and the communication cost of the light forest. Specifically, the formulation for the WDM multicast routing problem is given. Because the MCMRP is NP-hard, two genetic algorithms (GAs) are proposed to solve this problem. In the proposed GAs, a path-oriented encoding chromosome is used to represent the routing paths. These routing paths are used to construct source-based light forests to represent a feasible solution to the multicast request. Moreover, to speed up the convergence of GAs, a farthest-first greedy heuristic algorithm is proposed and used to generate one of the initial chromosomes. Simulation results demonstrate that the proposed GAs can run efficiently.
Relation:	Artificial Intelligence Review, 29(3-4): 195-222
Appears in Collections:	[Department and Graduate Institute of Computer Science and Information Engineering] Periodical Articles

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