DocumentCode :
3219217
Title :
Planning for target system striking based on Markov decision process
Author :
Lei Ting ; Zhu Cheng ; Zhang Weiming
Author_Institution :
Sci. & Technol. on Inf. Syst. Eng. Lab., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2013
fDate :
28-30 July 2013
Firstpage :
154
Lastpage :
159
Abstract :
Planning for targets selection and striking is an important part during the military decision process. In this paper, as to optimize the striking process against the military target system, in which there are relationships between different targets and each target having the capability to recover from the damage, the structure and the recovering mechanism of the target system is modeled. In order to generate a multi-phase striking planning which can destroy the target system efficiently, the Markov Decision Process based planning method is proposed, and a heuristic is calculated to reduce the search space of the problem. Efficiency of the model is showed by a case, which shows that commander can raise their decision efficiency by this method.
Keywords :
Markov processes; military systems; search problems; Markov decision process; military decision process; military target system; multiphase striking planning; search space; target selection; target system striking; Equations; Heuristic algorithms; Maintenance engineering; Markov processes; Mathematical model; Planning; Search problems; Markov Decision Process; Recovering mechanism; Targe System;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service Operations and Logistics, and Informatics (SOLI), 2013 IEEE International Conference on
Conference_Location :
Dongguan
Print_ISBN :
978-1-4799-0529-4
Type :
conf
DOI :
10.1109/SOLI.2013.6611401
Filename :
6611401
Link To Document :
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