差分演化下移动Ad-hoc网络的最优路径

2018 Recent Advances on Engineering, Technology and Computational Sciences (RAETCS) Pub Date : 2018-02-01 DOI:10.1109/RAETCS.2018.8443799

S. Prabha, R. Yadav

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引用次数: 2

摘要

本文将差分进化理论应用于移动自组织网络中数据从源到目的传输的最优路径问题。基于差分进化的优化模型用于分析和建立移动自组网中最优可用路径。该模型考虑传输成本，寻找最小成本消耗路径。利用差分进化算法作为搜索工具，通过建立的优化模型搜索最小传输消耗。与进化算法PSO和遗传算法相比，该算法的有效性得到了明显的验证。

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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Optimal Path in Mobile Ad-hoc Networks with Differential Evolution

In this paper differential evolution is applied to solve optimum path issues for data transmission from source to destination in mobile ad-hoc networks. The differential evolution based optimization model used to analyze and establish best available optimal path in mobile ad-hoc networks. The model keep transmission cost into consideration to search for minimum cost consumption path. The differential evolution algorithm is utilized as a search tool, to search for minimum transmission consumption through established optimization model. Finally results acquired by proposed algorithm clearly reveal the effectiveness, in contrast to evolutionary algorithm PSO and GA.

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来源期刊

2018 Recent Advances on Engineering, Technology and Computational Sciences (RAETCS)

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