Paper
Coordinated Air Combat Target Assignment with Risk Decision-Making Based on Genetic Algorithm
- Authors:
- Ping Zhang; Ju Jiang; Haiyan Xu; Junjie Xin
- Abstract
- Coordinated air combat target assignment is a complex optimization problem based on situation evaluation. Traditional method seems to be inefficient and time consuming. To get rid of this disadvantage, Genetic Algorithm (GA) is introduced to solve this problem. GA is an efficient intelligent method for global optimization. The primary goal of this paper is to apply GA method to fulfil the aim of maximizing the coordinate effect. By designing proper fitness functions, GA is employed to air combat target assignment problem. Simulation results show that the GA method is more efficient than the traditional method.
- Keywords
- Coordinated Air Combat; Risk Decision-making; Genetic Algorithm; Fitness Function
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