混合算法在4G地震勘探网络定位中的应用  

Application of hybrid algorithm in network location of 4G seismic exploration

作　　者：李婧婷 亢俊健 李明亮 LI Jing -ting, KANG Jun -jian, LI Ming- liang(Hebei Key Laboratory of Optoelectronic information and Geo-Detection Technology, Hebei GEO University, Shijiazhuang 050031, Chin)

机构地区：[1]河北地质大学河北省光电信息与地球探测技术重点实验室,河北石家庄050031

出　　处：《计算机工程与设计》2018年第8期2427-2431,2437,共6页Computer Engineering and Design

基　　金：国家自然科学基金项目(61503260)

摘　　要：针对基于4G通信的无线地震勘探设备TDOA网络定位优化问题,提出基于差分算法(DE)和粒子群优化算法(PSO)的差分粒子群混合算法(DEPSO)。在DE算法的基础上,引入基于细胞拓扑的邻域结构,利用邻域信息构造变异向量,与PSO算法基于协作式混合策略建立信息共享机制,避免单一算法容易陷入局部最优和收敛速度慢等问题。仿真结果表明,改进算法与经典求解算法相比,定位精更高,鲁棒性更好,进一步提升了4G地震勘探设备的可行性和优越性。A hybrid optimization algorithm（DEPSO）was proposed for TDOA location optimization problem in wireless network of 4 Gseismic exploration instrument based on the combination of the difference evolution algorithm（DE）and particle swarm optimization（PSO）.Based on the DE,neighborhood structure of the cell topology was introduced to generate the mutation vector.The information sharing mechanism between the improved DE and the PSO was established to avoid falling into local optimum and slow convergence problems.The simulation result shows that the improved algorithm improves the accuracy and the robustness than the classical algorithm so that it makes 4 Gseismic exploration instrument far more feasible and superior in practice than ever.

关 键 词：到达时间差 差分进化算法 粒子群优化算法 地震勘探设备 邻域结构 定位 

分 类 号：TN929.53[电子电信—通信与信息系统]