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An Improved Immune Genetic Algorithm for Solving the Optimization Problems of Computer Communication Networks
引用本文:SUN Li-juan,LI Chao(Department of Computer Science and Technology,Nanjing University of Posts and Telecommunications,Nanjing 210003,P.R. China). An Improved Immune Genetic Algorithm for Solving the Optimization Problems of Computer Communication Networks[J]. 中国邮电高校学报(英文版), 2003, 10(4)
作者姓名:SUN Li-juan  LI Chao(Department of Computer Science and Technology  Nanjing University of Posts and Telecommunications  Nanjing 210003  P.R. China)
作者单位:Department of Computer Science and Technology,Nanjing University of Posts and Telecommunications,Nanjing 210003,P.R. China
摘    要:1 IntroductionIndesigningacomputercommunicationnet work ,thenetworkaveragedelayisanimportantpa rameterinthenetworkperformance .Inthispaper,weonlyconsiderM /M/1networks,whichmeansthatthemessageprocessingtimeisaprobabilisticdensityfunctionwithnegativepower,thegroupar rivalandsendingisofPoissiondistributionwithasinglequeue .Supposethatthenetworktopologicalstructureandtheestimatesoftheexternaltrafficrequirementsaregiven ,howtoselecttheoptimalroutestobeusedbythecommunicatingnodesinthenetworksoast…


An Improved Immune Genetic Algorithm for Solving the Optimization Problems of Computer Communication Networks
SUN Li-juan,LI Chao. An Improved Immune Genetic Algorithm for Solving the Optimization Problems of Computer Communication Networks[J]. The Journal of China Universities of Posts and Telecommunications, 2003, 10(4)
Authors:SUN Li-juan  LI Chao
Abstract:Obtaining the average delay and selecting a route in a communication network are multi-constrained nonlinear optimization problems. In this paper, based on the immune genetic algorithm, a new fuzzy self-adaptive mutation operator and a new upside-down code operator are proposed. This improved IGA is further successfully applied to solve optimal problems of computer communication nets.
Keywords:immune genetic algorithm  fuzzy self-adaptive mutation  upside-down code  optimal route selection  communication network
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