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A Genetic Algorithm with a New Encoding Method for Bicriteria Network Designs  

Kim Jong-Ryul (동서대학교 첨단기술연구센터)
Lee Jae-Uk (동서대학교 인터넷공학부)
Gen Mituso (일본 와세다대학교 정보생산시스템연구과)
Abstract
Increasing attention is being recently devoted to various problems inherent in the topological design of networks systems. The topological structure of these networks can be based on service centers, terminals (users), and connection cable. Lately, these network systems are well designed with tiber optic cable, because the requirements from users become increased. But considering the high cost of the fiber optic cable, it is more desirable that the network architecture is composed of a spanning tree. In this paper, we present a GA (Genetic Algorithm) for solving bicriteria network topology design problems of wide-band communication networks connected with fiber optic cable, considering the connection cost, average message delay, and the network reliability We also employ the $Pr\ddot{u}fer$ number (PN) and cluster string in order to represent chromosomes. Finally, we get some experiments in order to certify that the proposed GA is the more effective and efficient method in terms of the computation time as well as the Pareto optimality.
Keywords
Genetic Algorithms; Network Topology Design; Bicriteria Optimization Problem;
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