| An Improved Immune Genetic Algorithm for Solving the Optimization Problems of Computer Communication Networks |
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| 作者姓名： | SUN Li-juan LI Chao |
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| 作者单位： | Department of Computer Science and Technology，Nanjing University of Posts and Telecommunications，Nanjing 210003，P.R. China |
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| 摘 要： | 1 IntroductionIndesigningacomputercommunicationnet work ,thenetworkaveragedelayisanimportantpa rameterinthenetworkperformance .Inthispaper,weonlyconsiderM /M/1networks,whichmeansthatthemessageprocessingtimeisaprobabilisticdensityfunctionwithnegativepower,thegroupar rivalandsendingisofPoissiondistributionwithasinglequeue .Supposethatthenetworktopologicalstructureandtheestimatesoftheexternaltrafficrequirementsaregiven ,howtoselecttheoptimalroutestobeusedbythecommunicatingnodesinthenetworksoast…
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An Improved Immune Genetic Algorithm for Solving the Optimization Problems of Computer Communication Networks |
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| 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). |
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| Authors: | SUN Li-juan LI Chao |
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| 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. |
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| Keywords: | immune genetic algorithm fuzzy self-adaptive mutation upside-down code optimal route selection communication network |
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