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多目标攻击条件下的作战任务分配模型研究 被引量:18

Study of Combat Task Allocation Model in Multi-target Attack Condition
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摘要 作战任务分配是现代多用途战斗机火控系统的核心,也是任务管理系统中的关键性的问题。首先运用信息熵方法,结合主客观两方面的因素对多目标攻击条件下的任务进行优先权分析,然后建立起传感器作用于任务的效能矩阵,在此基础上运用蚁群算法来确定任务最优分配方案。仿真实例表明该任务分配模型对于多目标攻击条件下的任务分配具有一定的可行性和实用性。 The combat task allocation is not only the core of airborne fire control system of modem multi-purposed battle plane, but also is it the key point of task management system. First of all, using the method of information entropy, which combined subjective and objective factors, to analyze task priority under multi-target attack condition, and then building the efficiency matrix about sensors acting on tasks, on the basis of which, the ant colony algorithm was used to analyze the best allocation scheme. The result of simulation indicates that the model of task allocation is practical and feasible under the multi-target attack condition.
出处 《系统仿真学报》 CAS CSCD 北大核心 2008年第16期4408-4411,共4页 Journal of System Simulation
基金 "十一五"预研项目(KJ-050402011) 空军预研基金项目(402050301).
关键词 多目标攻击 任务分配 任务优先权 效能矩阵 蚁群算法 multi-target attack task allocation task priority efficiency matrix ant colony algorithm
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  • 1刘金星,佟明安.基于Multi-Agent System的群机协同空战指挥控制系统模型的研究[J].电光与控制,2001,8(z1):49-53. 被引量:7
  • 2余舟毅,陈宗基,周锐.基于遗传算法的动态资源调度问题研究[J].控制与决策,2004,19(11):1308-1311. 被引量:16
  • 3尹全军,杜湘瑜,张琦,黄柯棣,邱晓刚.基于HLA的智能Agent仿真环境研究[J].系统仿真学报,2005,17(4):875-878. 被引量:17
  • 4Dorigo M, Gambardells L M. Ant Colonied for the Travelling Salesman Problem[ J ]. Biosystems, 1997,43 (2) : 73 - 81.
  • 5侯向丹.蚂蚁算法扩展性及应用研究[J].河北工业大学学报,2002,(3):15-16.
  • 6Foulds L R. Combinatorial Optimization for Undergraduates[M]. Shen Minggang Translated. Shanghai: Shanghai Translation and Publishing Corporation, 1988.
  • 7McMullen P R. An ant colony optimization approach to addressing a JIT sequencing problem with multiple objectives [ J]. Artificial Intelligence in Engineering, 2001,15(3) :309 -317.
  • 8Coksmi A, Dorigo M, Maniezzo V, et al. Ant system for jobshop scheduling [J]. Belgian Journal Operations Research Statistic Computation Science, 1994,34 (11) :39 - 53.
  • 9Maniezzo V, Carbonaro A. An ant heuristic for the frequency assignment problem [ J ]. Future Generation Computer System,2000,16(8) :927 -935.
  • 10Gambardella L M, Dorigo M. Solving symmetric and asymmetric TSPs by ant colonies [ A]. Proceedings of the IEEE Conference on Evolutionary Computation [ C]. 1996. 622 -627.

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