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http://dx.doi.org/10.5139/JKSAS.2019.47.12.856

GRASP Algorithm for Dynamic Weapon-Target Assignment Problem  

Park, Kuk-Kwon (Inha University)
Kang, Tae Young (Inha University)
Ryoo, Chang-Kyung (Inha University)
Jung, YoungRan (Agency for Defense Development)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.47, no.12, 2019 , pp. 856-864 More about this Journal
Abstract
The weapon-target assignment (WTA) problem is a matter of effectively allocating weapons to a number of threats. The WTA in a rapidly changing dynamic environment of engagement must take into account both of properties of the threat and the weapon and the effect of the previous decision. We propose a method of applying the Greedy Randomized Adaptive Search Procedure (GRASP) algorithm, a kind of meta-heuristic method, to derive optimal solution for a dynamic WTA problem. Firstly, we define a dynamic WTA problem and formulate a mathematical model for applying the algorithm. For the purpose of the assignment strategy, the objective function is defined and time-varying constraints are considered. The dynamic WTA problem is then solved by applying the GRASP algorithm. The optimal solution characteristics of the formalized dynamic WTA problem are analyzed through the simulation, and the algorithm performance is verified via the Monte-Carlo simulation.
Keywords
Weapon-Target Assignment; Combinatorial Optimization; Naval Engagement; Metaheuristic Method; Time Window;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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