计算机与现代化

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基于改进蚁群算法的海上编队传感器资源分配模型

  

  1. (海军指挥学院信息系,江苏 南京 211800)
  • 收稿日期:2014-10-24 出版日期:2014-12-22 发布日期:2014-12-22
  • 作者简介:朱卫宵(1991-),男,安徽亳州人,海军指挥学院信息系硕士研究生,研究方向:模式识别与智能系统; 祝前旺(1963-),男,浙江江山人,副教授,硕士生导师,研究方向:模式识别与智能系统。

Sea Fleet Sensor Resource Allocation Model Based on Improved Ant Colony Algorithm

  1. (Department of Information, Naval Command College, Nanjing 211800, China)
  • Received:2014-10-24 Online:2014-12-22 Published:2014-12-22

摘要: 在信息化条件下,海上编队作战中传感器资源分配是传感器资源管理的关键内容。针对传感器资源分配模型构建因素不全面,分配算法计算量与时间随着传感器目标数目的增多而急剧增加等问题,本文提出一种考虑目标优先级、传感器对目标的匹配精度、传感器作用范围和协同能力的目标函数,建立一种基于改进蚁群算法的海上编队传感器资源分配模型。仿真结果表明,该算法显著提高了收敛速度与时间满意度,验证了分配模型的可行性。

关键词: 传感器资源分配, 目标函数, 蚁群算法

Abstract: Under the condition of informatization, the sensor resources allocation is the key content of sensor resource management in the warfare of maritime maneuverable formation. Aiming at the problem that sensor resources allocation model’s constructing factors are not comprehensive and the amount of calculation and time of allocation algorithm sharply increases with the increase of the number of sensor targets, this paper proposes a kind of target function which considers the target priority, the matching precision of sensor to the targets, the scope of the sensors and the cooperative ability, then sets up a kind of maritime maneuverable formation’s sensor resources allocation model based on improved ant colony algorithm. The simulation results show that the proposed algorithm significantly improves the convergence rate and time satisfaction, verifies the feasibility of allocation model.

Key words: sensor resource allocation, target function, ant colony algorithm

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