应用GA的多侦察传感器目标最优分配

Target Optimal Assignment of Multi-Reconnaissance Sensor by Generic Algorithm

研究优化侦察效果问题,多侦察传感器训练演练任务中的侦察目标分配优劣直接影响着训练演练效果。为了提高侦察效能,通过分析传感器和目标的类别及数量,建立明确的目标函数,组成合理的仿真规划模型,采用遗传算法作为搜索最优方法,克服了传统算法缺点,能够快速而且有效地找出最大侦察效能下的目标分配方案。仿真结果表明,改进的方法为多传感器最佳侦察效果的相应训练演练提供了有益的帮助,节省了任务周期,降低了资源消耗。

Pros and cons on target assignment of multi-reconnaissance sensor training mission directly affect training effect.By analyzing the quantity and category of sensor and target,confirming the objective function,building the rational simulation programming model,and taking generic algorithm as search method,the best reconnaissance efficacy Plan of Target Assignment can be found out rapidly and effectively,which affordes beneficial help to training under best reconnaissance efficiency,and shortens the mission period and economizes the resource.