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一种基于扩展合同网的编队动态任务分配模型 被引量:1

A Dynamic Task Allocation Model for Warship Formation Based on Extended-ECNP Theory
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摘要 根据网络化海上编队协同作战的特点,选择基于信任度评价的招标策略、基于自适应的投标策略和基于模糊综合评判的中标策略作为模型的协商策略。对新任务或需重新分配的任务进行分解,同时采用基于信任度的策略限定招标范围,发出多个任务通告;编队内各作战平台再根据自身能力和局部态势进行评估;编队指挥级选出中标者后,进行任务分配,并动态生成作战方案进行下发;中标平台对被分配任务进行确认并执行;作战中,针对环境和态势变化,双方协商,可进行任务的动态分配。该模型可用于网络化海上编队的动态任务分配及其仿真。 According to characteristics of network-based marine warship formation operation, select tactics of tender on the basis of confidence degree evaluation, self-adaptation, and bidding evaluation based on fuzzy synthetic evaluation, and make them as the agreement tactic of the model. Analyze new tasks and tasks need redistribution, while adopt trust-based tactic to restrict bidding area, send out multi-task announcement; then, individuals of the formation evaluates their ability and situation. After formation commanders select the successful bidder, they distribute tasks to an appropriate platform and make operational plan, and the platform to be selected confirm and execute the task. During operation, the formation makes dynamic task allocation based on environment change. The model is feasible in dynamic task allocation and simulation study of network-based marine warship formation.
出处 《兵工自动化》 2009年第8期50-52,共3页 Ordnance Industry Automation
基金 海军大连舰艇学院科研发展基金重点资助项目(2008)
关键词 动态任务分配 扩展合同网 网络化编队 Dynamic task allocation Extended-ECNP theory Warship formation based on network
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  • 1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
  • 2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
  • 3刘大有 钟绍春.人工智能新进展[M].北京:清华大学出版社,1994..
  • 4Fregene K,Kennedy D,Wang D.Multi-vehicle pursuit-evasion:an agent-based framework[C]//Proceedings of the 2003 IEEE International Conference on Robotics & Automation,Taipei,Taiwan.2003.
  • 5Grecu D,Gonsalves P.Agent-Based Simulation Environment for UCAV Mission Planning and Execution[C]// Proceedings of the 2000 AIAA Guidance,Navigation and Control Conference,Denver:AIAA-2000-4481.2000.
  • 6Bead R W,Timothy W M,Goodrich M A,et al.Coordinated Target Assignment and Intercept for Unmanned Air Vehicles[J].IEEE Transactions on Robotics and Automation (S1042-296X),2002,18(6):911-922.
  • 7Lee Z J,Su S F,Lee C Y.Efficiently Solving General Weapon-Target Assignment Problem by Genetic Algorithms with Greedy Eugenics[J].IEEE Transactions on Systems (S1083-4419),2003,33(1):113-121.
  • 8Abrahams P,Balart R,Byrnes J S,et al.Maap:the Military Aircraft Allocation Planner[C]// Evolutionary Computation Proceedings of the IEEE World Congress on Computational Intelligence.Anchorage.1998.
  • 9Palmer D,Kirschenbaum M,Zajac K,et.al.Decentralized Cooperative Auction for Multiple Agent Task Allocation Using Synchronized Random Number Generators[C]// Proceedings of the 2003 IEEE/RSJ.Intl.Conference on Intelligent Robots and Systems.Las Vegas,Nevada.2003.
  • 10刘进江,周旭,刘飞,段黎明.动态联盟公司异地生产计划调度与控制系统的研究[J].机械工业自动化,1998,20(6):1-5. 被引量:12

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