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An Algorithm based on Evolutionary Computation for a Highly Reliable Network Design  

Kim Jong-Ryul (한국과학기술원 테크노경영연구소 정보통신경영연구실)
Lee Jae-Uk (동서대학교 인터넷공학부)
Gen Mituso (Waseda University Grad. School of Inform. Prod)
Publication Information
Journal of KIISE:Software and Applications / v.32, no.4, 2005 , pp. 247-257 More about this Journal
Abstract
Generally, the network topology design problem is characterized as a kind of NP-hard combinatorial optimization problem, which is difficult to solve with the classical method because it has exponentially increasing complexity with the augmented network size. In this paper, we propose the efficient approach with two phase that is comprised of evolutionary computation approach based on Prufer number(PN), which can efficiently represent the spanning tree, and a heuristic method considering 2-connectivity, to solve the highly reliable network topology design problem minimizing the construction cost subject to network reliability: firstly, to find the spanning tree, genetic algorithm that is the most widely known type of evolutionary computation approach, is used; secondly, a heuristic method is employed, in order to search the optimal network topology based on the spanning tree obtained in the first Phase, considering 2-connectivity. Lastly, the performance of our approach is provided from the results of numerical examples.
Keywords
Evolutionary Counutation; Network Reliability; Combinatorial Optimization; Communication Network;
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