An Efficient Approximate Solution for Stochastic Lanchester Models

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Combat modeling is one of the essential topics for military decision making. The Lanchester equation is a classic method for modeling warfare, and many variations have extended its limitations and relaxed its assumptions. As a model becomes more complex, solving it analytically becomes intractable or computationally expensive. Hence, we propose two approximation methods: moment-matching scheme and a supporting method called battle-end approximation. These methods give an approximate solution in a short amount of time, while maintaining a high level of accuracy in simulation results in terms of hypothesis testing and numerical verification. They can be applied to computationally intensive problems, such as optimal resource allocation and analysis with asymmetric power like snipers or stealth aircrafts.
Publisher
PALGRAVE MACMILLAN LTD
Issue Date
2017-11
Language
English
Article Type
Article
Citation

JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, v.68, no.11, pp.1470 - 1481

ISSN
0160-5682
DOI
10.1057/s41274-016-0163-6
URI
http://hdl.handle.net/10203/226820
Appears in Collection
IE-Journal Papers(저널논문)
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