NDLI: An Effective Genetic Algorithm for QoS-Based Routing Optimization Problem

Content Provider	IEEE Xplore Digital Library
Author	Zhou Yu Zhao Xin Ye Qingwei
Copyright Year	2009
Abstract	Routing of packets in networks requires that a path will be selected either dynamically while the packets are being forwarded, or statically (in advance) as in source routing from a source node to a destination. The genetic algorithms which has been applied to routing optimization problem is difficult because network is not a widely connectivity network. If we use traditional GA, it may generate some illegal routes during initialization, crossover and mutation. In order to remove these illegal solutions, some methods are used, for example establishing legitimate solution space and determining nodes connectivity before decoder. These methods increase algorithm complexity and computation time to some extent. In the paper an improved GA is brought out with a new encoding and decoding method. We describe how possible routes can be produced from prior knowledge, and then be selected based on fitness with respect to QoS. The decoding procedure is similar with Maze algorithm. Based on our experimental results, this approach adapts to network routing optimization problem, and it has obtained better convergence and stability.
Starting Page	117
Ending Page	120
File Size	450533
Page Count	4
File Format	PDF
ISBN	9781424449095
e-ISBN	9781424457281
DOI	10.1109/ICISE.2009.245
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Asymptotic stability Insects Biological system modeling Plants (biology) Differential equations Routing Electronic mail Mathematical model Genetic algorithms Diseases
Content Type	Text
Resource Type	Article

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