Shoot-look-shoot: A review and extension

成果类型:
Review
署名作者:
Glazebrook, K; Washburn, A
署名单位:
University of Edinburgh; United States Department of Defense; United States Navy; Naval Postgraduate School
刊物名称:
OPERATIONS RESEARCH
ISSN/ISSBN:
0030-364X
DOI:
10.1287/opre.1030.0086
发表日期:
2004
页码:
454-463
关键词:
decision analysis Sequential dynamic programming/optimal control Markov finite state Markov infinite state military targeting probability Markov processes stochastic model applications
摘要:
We consider the optimal use of information in shooting at a collection of targets, generally with the object of maximizing the average number (or value) of targets killed. The shooting problem is viewed as a Markov decision process, and the modal solution technique is stochastic dynamic programming. Information obtained about target status may or may not be perfect, and there may or may not be constraints on the number of shots. Previous results are reviewed, and some new results are obtained.