井下人员搜救定位免疫并行分布式融合算法  

Mine Rescue Personnel Location Based on the Immune Paralleled and Distributed Fusion Algorithm

作　　者：范大鹏[1] 李丹[1] 王洋[2] 张雅君[1] 

机构地区：[1]黑龙江科技大学计算机与信息工程学院,黑龙江哈尔滨150022 [2]齐齐哈尔大学计算机学院,黑龙江齐齐哈尔161006

出　　处：《淮海工学院学报（自然科学版）》2015年第3期20-24,共5页Journal of Huaihai Institute of Technology:Natural Sciences Edition

基　　金：黑龙江省教育厅科技研究项目(12543075);黑龙江科技大学教育研究项目(JY14-104)

摘　　要：将并行性、分布式和数据融合引入到基本的人工免疫算法中,提出了并行免疫分布式融合算法,优化了克隆选择和交叉变异算子.详细分析了并行分布式融合算法的过程,并在分析了井下人员搜救定位系统后,将该算法应用到系统中.通过实验验证了算法的可行性,同时与基本免疫算法作了对比实验,验证了该算法的高效性.In this paper, the paralleled, distributed and data fusion are introduced into the basic artificial immune algorithm, which proposes paralleled immune and distributed fusion algorithm to optimize the clone selection and crossover and mutation operator. It makes a detailed analysis of paralleled and distributed fusion algorithm process and after analyzing the mine rescue person- nel positioning system, the algorithm is applied to the system, by experimental verification of the feasibility of the algorithm, while a comparison experiment is done with the basic immune algo- rithm to test the efficiency of the algorithm.

关 键 词：人工免疫 并行 分布式计算 数据融合 搜救定位 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]