Optimal Weapon-Target Assignment of Multiple Dissimilar Closed-In Weapon Systems Using Mixed Integer Linear Programming

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In this paper, a Mixed Integer Linear Programming(MILP) approach for solving optimal Weapon-Target Assignment(WTA) problem of multiple dissimilar Closed-In Weapon Systems (CIWS) is proposed. Generally, WTA problems are formulated in nonlinear mixed integer optimization form, which often requires impractical exhaustive search to optimize. However, transforming the problem into a structured MILP problem enables global optimization with an acceptable computational load. The problem of interest considers defense against several threats approaching the asset from various directions, with different time of arrival. Moreover, we consider multiple dissimilar CIWSs defending the asset. We derive a MILP form of the given nonlinear WTA problem. The formulated MILP problem is implemented with a commercial optimizer, and the optimization result is proposed.
Publisher
KOREAN SOC AERONAUTICAL & SPACE SCIENCES
Issue Date
2019-01
Language
Korean
Article Type
Article
Citation

JOURNAL OF THE KOREAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, v.47, no.11, pp.787 - 794

ISSN
1225-1348
DOI
10.5139/JKSAS.2019.47.11.787
URI
http://hdl.handle.net/10203/271157
Appears in Collection
AE-Journal Papers(저널논문)
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