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Optimal Path in Mobile Ad-hoc Networks with Differential Evolution

机译:差分演化的移动自组网的最优路径

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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.
机译:在本文中,差分演化被用于解决移动自组织网络中从源到目的地的数据传输的最佳路径问题。基于差异进化的优化模型,用于分析和建立移动自组织网络中的最佳可用最佳路径。该模型将传输成本考虑在内,以寻找最小的成本消耗路径。差分进化算法被用作搜索工具,通过建立的优化模型来搜索最小的传输消耗。与进化算法PSO和GA相比,该算法最终获得的结果清楚地表明了其有效性。

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