期刊文献+

Organization Mission Planning: Methodology and Application 被引量:1

Organization Mission Planning: Methodology and Application
原文传递
导出
摘要 Mission planning of organization is to select best strategy to complete its mission under the conditions of organizational states. A new methodology of generating and optimizing strategy of organizational course of actions (COA) was illuminated with a joint campaign. A process of generating and optimizing COA in military force was modeled. And enumerative and heuristic techniques were employed to search optimal strategy for the case of joint campaign. The complex between the two approaches to find best strategy was analyzed. The results from our case were given and compared with reality of joint campaign, on which deficiency of models was taken apart. The optimal COA, obtained from our new methodology under diverse campaigns conditions, is given and analyzed. Results from the simulation of the COA show that our approach to solve optimal strategy of organizational processes accords with traits of general landing campaign.
出处 《Tsinghua Science and Technology》 SCIE EI CAS 2005年第z1期836-843,共8页 清华大学学报(自然科学版(英文版)
基金 Supported by the National Natural Science Foundation of China ( Nos. 70271004 and 70401003)
  • 相关文献

参考文献8

  • 1[1]Boutilier C,Brafman R I,Geib C.Prioritized goal decomposition of Markov decision processes:Toward a synthesis of classical and decision theoretic planning.In:Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence.Nagoya,Japan,2002:1156 - 1162.
  • 2[2]Boutilier C,Brafman R I,Geib C.Structured Reachability Analysis for Markov Decision Processes.In:Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence.Madison,WI,1998:24 - 32.
  • 3[3]Das T P,Gosavi A.Solving semi-Markov decision problems using average reward reinforcement learning.Management Science,1999,45(4):560- 574.
  • 4[4]Littman,Michael L,Majercik Stephen M.Large-scale planning under uncertainty:A survey.Workshop on Planning and Scheduling for Space,1997.1 -8.
  • 5[5]Heckerman D.Causal independence for probability assessment and inference using Bayesian Networks.IEEE Transactions on Systems,Man & Cybernetics,Part A (Systems & Humans) ,2002,26(6):102 - 110.
  • 6[6]Yazia-Pekergin N,Vincent J M.Stochastic bounds on execution times of parallel programs.IEEE Transactions on Software Engineering,1991,17(10):1005 - 1012.
  • 7[7]Pattipati K R,Alexandridis M G.Application of heuristic search and information theory to sequential fault diagnosis.IEEE Transactions on Systems,Man,and Cybernetics,1990,20(4):872- 887.
  • 8[8]Tu Haiying,Levchuk Y N,Pattipati K R.Robust action strategies to induce desired effects.IEEE Transactions on Systems,Man,and Cybernetics-Part A:Systems and Humans,2004,34(5):664-680.

同被引文献13

引证文献1

二级引证文献11

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部