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GA-based Two Phase Method for a Highly Reliable Network Design  

Jo, Jung-Bok (동서대학교 인터넷공학부)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.9, no.5, 2005 , pp. 1149-1160 More about this Journal
Abstract
Generally, the network topology design problem, which is difficult to solve with the classical method because it has exponentially increasing complexity with the augmented network size, is characterized as a kind of NP-hard combinatorial optimization problem. The problem of this research is to design the highly reliable network topology considering the connection cost and all-terminal network reliability, which can be defined as the probability that every pair of nodes can communicate with each other. In order to solve the highly reliable network topology design problem minimizing the construction cost subject to network reliability, we proposes an efficient two phase approach to design reliable network topology, i.e., the first phase employs, a genetic algorithm (GA) which uses $Pr\ddot{u}fer$ number for encoding method and backtracking Algorithm for network reliability calculation, to find the spanning tree; the second phase is a greedy method which searches the optimal network topology based on the spanning ree obtained in the first phase, with considering 2-connectivity. finally, we show some experiments to demonstrate the effectiveness and efficiency of our two phase approach.
Keywords
Network Reliability; Combinatorial Optimization; Communication Network; Genetic Algorithm (GA);
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