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蚁群-遗传算法的无线传感器网络路径优化
引用本文:莫桂江. 蚁群-遗传算法的无线传感器网络路径优化[J]. 微电子学与计算机, 2011, 28(9)
作者姓名:莫桂江
作者单位:广西现代职业技术学院,广西河池,547000
摘    要:为了提高无线传感器网络路径优化效率,快速找到最优路径,提出基于蚁群-遗传算法的传感器路径优化方法.利用遗传算法的快速全局搜索能力和蚁群算法的正反馈机制,实现了两种算法的融合.仿真结果表明,蚁群-遗传算法在时间和性能上都优于单独的蚁群算法和遗传算法,能快速找到无线传感器网络最优路径,有效延长了网络的生命周期.

关 键 词:无线传感器网络  遗传算法  蚁群算法  网络路径

Wireless Sensor Network Path Optimization Based on Ant Colony-Genetic Algorithm
MO Gui-jiang. Wireless Sensor Network Path Optimization Based on Ant Colony-Genetic Algorithm[J]. Microelectronics & Computer, 2011, 28(9)
Authors:MO Gui-jiang
Affiliation:MO Gui-jiang(Modern College of Guangxi,Hechi 547000,China)
Abstract:In order to improve the wireless sensor network path optimization efficiency,quick to find the optimal path,based on ant colony-genetic algorithm sensor path optimization method.Using genetic algorithm is proposed to fast the global search ability and ant colony algorithm for positive feedback mechanism,to realize the integration of the two algorithm.Simulation results show that the ant colony-the genetic algorithm in time and performance is better than the single ant colony algorithm and genetic algorithm,...
Keywords:wireless sensor network  genetic algorithm  ant colony algorithm  network path  
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