基于遗传算法的光纤传感器网络优化布置研究  

Research on Optimization of Optical Fiber Sensor Network Based on Genetic Algorithm

作　　者：莫徽忠[1] 

机构地区：[1]柳州职业技术学院电子信息工程系,广西柳州545006

出　　处：《科技通报》2016年第6期172-176,共5页Bulletin of Science and Technology

基　　金：2014年度广西高校科研项目(LX2014539)

摘　　要：考虑到在用于对大型结构和工程机械健康监控的系统中,需要对传感器网络的布置进行优化以提高传感器网络精度、可靠性,降低传感网络的成本等问题。本文主要针对光纤光栅传感器网络布置优化问题进行研究,研究传感器布置角度对监测结果的影响,并使用GA算法对传感器布置角度进行优化。常规的GA算法通常存在算法早熟以及局部寻优能力弱等问题。本文提出一种改进型GA算法,通过引入自适应对偶种群、自适应终止规则以及新的生成子代规则来保证种群在迭代过程中的多样性以解决算法早熟问题,并且要提高算法的搜索效率以提高算法对局部寻优的能力。最后通过实验验证本文提出基于改进型GA算法的光纤光栅传感器网布的优化布置方法的有效性。In order to improve the accuracy and reliability of sensor network and reduce the cost of sensor network, the arrangement of sensor network is needed to improve the accuracy and reliability of the sensor network. In this paper, we mainly study the layout optimization of fiber Bragg grating sensor, and study the effect of sensor placement angle on the monitoring results, and use the GA algorithm to optimize the sensor layout. Conventional GA algorithms usually have problems such as premature convergence and weak local search ability. In this paper, an improved GA algorithm is proposed, which can ensure the diversity of population in the iterative process by introducing adaptive dual population, adaptive termination rule and new generation rule. Finally, the effectiveness of the optimized layout method based on the improved GA algorithm is proposed in this paper.

关 键 词：光纤光栅传感器 遗传算法 自适应对偶种群 传感器网络 优化布置 

分 类 号：TN253[电子电信—物理电子学]