水下无人集群优化部署算法设计与分析  

Design and analysis of optimal deployment algorithm for underwater unmanned cluster

作　　者：佟盛 李大辉[2] 戴学丰[2] TONG Sheng;LI Da-hui;DAI Xue-feng(Ship Information Center of China,Beijing 100101,China;School of Computer and Control Engineering,Qiqihar University,Heilongjiang 161006,China)

机构地区：[1]中国船舶信息中心,北京100101 [2]齐齐哈尔大学计算机与控制工程学院,黑龙江齐齐哈尔161006

出　　处：《舰船科学技术》2019年第21期104-107,共4页Ship Science and Technology

摘　　要：部署优化是水下无人传感器集群重要任务之一,针对水下探测需要,本文设计基于粒子群与人工鱼群法混合部署算法。首先利用先用改进粒子群算法进行初期寻优,然后利用人工鱼群算法进行后期寻优,完成水下无人集群节点部署优化设计。通过对特定场景设计,设定实验约束条件,利用Matlab完成优化部署算法的系统仿真实验,对覆盖率进行对比分析,得出部署优化算法覆盖率提高了25%,覆盖度曲线初期收敛快,后期寻优效果有明显提升。Deployment Optimization is one of the important tasks of Underwater Unmanned Sensors Cluster.In the process of optimal algorithm design for deployment of underwater unmanned cluster nodes,firstly the initial optimization is carried out by using the improved particle swarm optimization algorithm,and then the later optimization is carried out by using the artificial fish swarm algorithm.Simulation results show that the coverage of the deployment optimization algorithm is increased by 25%,the coverage curve converges rapidly at the initial stage,and the optimization effect is improved obviously at the later stage.

关 键 词：无人集群 优化部署 人工鱼群算法 改进粒子群算法 

分 类 号：TJ630.33[兵器科学与技术—武器系统与运用工程] TB566[交通运输工程—水声工程]