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A Genetic Algorithm Based Approach for Topological Optimization of Interconnection Networks

机译:一种基于互联网络拓扑优化的基于遗传算法

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The paper addresses the two terminal reliability while designing the interconnection networks. Thus a topological optimization problem is defined as the existence of at least a reliable path between a pair of nodes satisfying the predefined cost of the network. A new method based on Genetic Algorithm is proposed to solve the above said problem. In the proposed method the chromosome as well as the genes are efficiently encoded so that the cross over provides the optimal solution with better convergence rate. The reliability of some benchmark interconnection networks are evaluated by the proposed method. The population size and the computational time of the said networks as reported in this paper ensures that the proposed method converges to it's optimal solution in very few cpu secondss, while maximizing the value of the reliability of the said network to a greater extent.
机译:本文在设计互连网络时解决了两个终端可靠性。因此,拓扑优化问题被定义为满足网络预定成本的一对节点之间的至少一种可靠路径的存在。提出了一种基于遗传算法的新方法来解决上述问题。在所提出的方法中,染色体和基因有效地编码,使得交叉提供具有更好收敛速率的最佳溶液。一些基准互连网络的可靠性由所提出的方法评估。本文报告的所述网络的人口大小和计算时间确保了所提出的方法在很少的CPU秒内收敛于它的最佳解决方案,同时在更大程度上最大化所述网络的可靠性的值。

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