Abstract
Uninhabited Combat Air Vehicles is a complicated global optimum problem. In this paper, according to the characteristics of Uninhabited Combat Air Vehicles, an improved bat algorithm was used to solve Uninhabited Combat Air Vehicles. The algorithm was experimented and the experimental results show that the improved algorithm to be successful in locating multiple solutions and better accuracy. Simulations and results indicate that the improved bat algorithm has better feasibility and validity for solving the multiple UCAV.
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