Application of Paralleling Genetic Algorithms in the Reliability Optimization Questions of the Same Category Computer Networks

Abstract:

In order to restrict the cost and improve the network reliability, we need to explore the paralleling genetic algorithms. Based on the default internal topology structure, we can select the best assembly method through multiple classified exchange facilities and transmission media. Coarsness algorithm is suited for the cost evaluation that will help improving the network stability. The process of optimization and simulation can describe: after comparing the genetic algorithm of serial classes, coarsness algorithm has the clear and unique characteristics. It will up evaluate to the specific speedup ratio and promote total mass after system optimization at the same time. .

• Periodical: Applied Mechanics and Materials (Volumes 513-517)
• Pages: 1625-1628
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.513-517.1625
• Online since: February 2014
• Authors: Jun Qian*, Zhen Yu Chen
• Keywords: Application, Computer Network Reliability, Optimization, Paralleling Genetic Algorithms

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