Topological design of communication networks using multiobjective genetic optimization

R. Kumar, P. P. Parida, Mohit Gupta
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引用次数: 46

Abstract

Designing communication networks is a complex, multi-constraint and multi-criterion optimization problem. We present a multi-objective genetic optimization approach to setting up a network while simultaneously minimizing network delays and installation costs subject to reliability and flow constraints. In this paper, we use a Pareto-converging genetic algorithm, present results for two test networks and compare results with another heuristic method.
基于多目标遗传优化的通信网络拓扑设计
通信网络设计是一个复杂的、多约束、多准则的优化问题。我们提出了一种多目标遗传优化方法来建立网络,同时最小化受可靠性和流量约束的网络延迟和安装成本。本文使用pareto收敛遗传算法,给出了两个测试网络的结果,并与另一种启发式方法的结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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