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基于holonic agent的军事能源保障模型研究 被引量:1

Research of holonic agent based model for military energy support
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摘要 为了解决采用多粒度对多层次分布式非结构化军事能源保障链建模及其仿真精度评估问题,建立基于holonic agent的军事能源保障模型,对能源保障资源配置与控制、保障实体调度与交互协作等复杂行为进行研究。将各层次能源保障实体表示为不同的holon,建立基于角色交互的能源保障调度组织和多层次能源保障调度holarchy结构;分析能源保障动力学环境,引入holon所受到的推进力、互斥力和阻抗力,设定动能、目标势能和约束势能三个指标来度量holon状态特性和总能量。提出层次相似性评估指标,测评各保障层次效能,确定两个相邻层次之间的仿真精度优劣性。仿真实例表明,该模型具有模拟和评估军事能源保障行为的良好性能,可提高仿真精度和效率。 In order to solve multi-level military energy support modeling by multi granularity and its simulation accuracy as- sessment, this paper established holonic agent based model for military energy support. It researched complex behavior, such as configuration and control of support resources, scheduling and interactive collaboration of support entities. It represented these support entities at all levels as different holons, constructed the structure of the scheduling organization based on the role- interaction and the multilevel scheduling holarchy for energy support. By analyzing the dynamics of energy support environ- ment, it set kinetic energy, potential energy and restraint potential energy as indicators to measure holon' s state properties and total energy. For evaluating effectiveness in support levels, it proposed the level similarity indicator to determine the diversity of simulation accuracy between two adjacent levels. Simulation example shows that this model has good properties for simulating and assessing the behavior of military energy support, and it can improve simulation accuracy and efficiency.
机构地区 后勤工程学院
出处 《计算机应用研究》 CSCD 北大核心 2016年第11期3211-3214,共4页 Application Research of Computers
基金 国防重大攻关项目(2014ZB00088) 重庆市重大科技项目(CQF20150709) 重庆市社科基金资助项目(2014YBGL009)
关键词 军事能源保障 holonic AGENT 多粒度 多层次 调度 military energy support(MES) holonic agent multi granularity muhilevel schedule
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参考文献10

  • 1Adali S, Pigaty L. The DARPA advanced logistics project [ J ]. An- nals of Mathematics and Artificial Intelligence,2003,37 (1) :409- 452.
  • 2Klusch M, Gerber A. Dynamic coalition formation among rational agents[ J]. IEEE Intelligent Systems,2002,17( 1 ) :42-47.
  • 3Satapathy G, Kumara S R T. Distributed intelligenet architecture for logistics[ J]. Journal of Expert Systems Applications and Prac- tice, 1998,14 ( 3 ) :409-424.
  • 4Montana D, J. Herrero. A multi-agent society for military transporta- tion scheduling [ J ]. Journal of Scheduling, 2000,13 ( 4 ) : 324- 341.
  • 5周庆忠,曾慧娥.基于多智能代理的装备动态优化调拨系统研究[J].机械工程学报,2005,41(2):97-101. 被引量:9
  • 6熊彪,周庆忠,樊荣,何定养.多机种油料加注系统设计的探索性分析与仿真[J].系统工程与电子技术,2013,35(7):1455-1459. 被引量:3
  • 7谢丽霞,严焱心.云计算环境下的服务调度和资源调度研究[J].计算机应用研究,2015,32(2):528-531. 被引量:17
  • 8Hilaire V, Koukam A, Rodriguez S. An adaptative agent architecture for holonie multi-agent systems [ J ]. ACM Trans on Autonomous and Adaptive Systems ,2008,3 ( 1 ) : 103-126.
  • 9Paulos, Carlos R, Jose N. Scheduling in holonic manufacturing sys- tems[ J ]. Springer Series in Advanced Manufacturing, 2007,10 (7) :167-190.
  • 10周庆忠.军队油料勤务学[M].北京:国防出版社,2015.

二级参考文献21

  • 1Bradshaw J M. Kaos: toward an Industrial-Strength Open Agent Architecture. Menlo Park: AAAI Press, 1997.
  • 2Hou E S, Ansari H N, Ren H. A genetic algorithm for multiprocessor scheduling. IEEE Trans. Parallel and Distributed Systems, 1944, 5(2): 110~111.
  • 3Bayardo R J. Infosleuth: agent-based semantic integration of information in open and dynamic systems. In: Proc. of ACM Sigmod Int. Conf. on Management of Data, New York: ACM Press, 1997:195~206.
  • 4Heaton J. Agent architecture distributes decision for the agile manufacturer: reengineering at allied signal automotive safety restraint systems. AMR Report, 1994(6): 8~13.
  • 5陈进科,任义广,沙基昌.探索性分析方法研究[J].兵工自动化,2007,26(11):32-34. 被引量:2
  • 6CHANG R S, LIN Chun-fu. Selecting the most fitting resource for task execution[ J]. Future Generation Computer Systems, 2011,27 (2) :227-231.
  • 7RAJKUMAR B, CHEE S Y, SRIKUMAR V. Market-oriented cloud computing:vision, hype, and reality for delivering IT services as com- puting utilities[ C]//Proc of the 10th IEEE International Conference on High Performance Computing and Communications. 2008.
  • 8Apache Hadoop scheduler [ EB/OL]. (2010). http://hadoop. apache, org/.
  • 9DEAN J, GHEMAWAT S. MapReduce: simplified data processing on large clusters[ C ]//Proc of the 6th Conference on Symposium on Op- erating Systems Design & Implementation. New York: ACM Press, 2004:107-113.
  • 10SANDHOLM T, LAI K. Dynamic proportional share scheduling in Ha- doop[ M ]//Job Scheduling Strategies for Parallel Processing. Berlin: Springer,2010 : 110-131.

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