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首页> 外文期刊>International Journal of Embedded Systems >A hybrid optimisation algorithm based on GA algorithm and ACO algorithm improvements for routing selection in heterogeneous sensor networks
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A hybrid optimisation algorithm based on GA algorithm and ACO algorithm improvements for routing selection in heterogeneous sensor networks

机译:一种基于GA算法和ACO算法改进的混合优化算法在异构传感器网络中的路由选择

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摘要

Wireless sensor applications have been pushed to the forefront in recent years mostly owing to the advent of the internet of networks. Using genetic algorithms and ant colony optimisation algorithms, many achievements have been made on engineering design problems, but the results optimised by these methods are often not satisfied by wireless sensor applications. In this paper, GAAC, a hybrid routing algorithm, is designed aiming to the defects of simple genetic algorithm and ant colony algorithm. With improvement, simulation results show that GAAC has made great effects in convergence precision.
机译:近年来,由于网络互联网的出现,近年来,无线传感器应用已被推到最前沿。 使用遗传算法和蚁群优化算法,在工程设计问题上取得了许多成就,但是通过这些方法优化的结果通常不满足无线传感器应用。 本文设计了一种混合路由算法的Gaac,旨在旨在简单遗传算法和蚁群算法的缺陷。 随着改进,仿真结果表明,GAAC对收敛精度产生了很大的影响。

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