Cooperative Target Allocation for UCAV Team Air-to-ground Attack Based on Decision Graph Bayesian Optimization Algorithm

摘要：

In order to control and optimize cooperative air-to-ground attack decision-making of the unmanned combat aerial vehicle (UCAV) team, the principle of income maximum and loss minimum of UCAV team is built firstly. Accordingly, the mathematical model of cooperative target allocation built based on the decision variables and constraints. Then Bayesian optimization algorithm (BOA) introduced which is one kind of the evolution algorithm. For improving the ability of the BOA, decision graph is introduced to enhance the represent and learn of Bayesian network and compress the parameter saving. Finally decision graph Bayesian optimization algorithm (DBOA) is utilized to optimize and analyze the model. The simulation results verify that the mathematical model of cooperative target allocation can reflect the importance of cooperative decision-making, the DBOA can converge quickly to the global optimal solution and can effectively solve the cooperative target allocation problem of UCAV team air-to-ground attack.

关键词： cooperative target allocation UCAV team air-to-ground attack decision graph

作者: Lu Cao An Zhang Fengjuan Guo

作者单位: School of Electronic and Information, Northwestern Polytechnical University, Xi,an, 710129,China

会议类型: 国际会议

会议名称: 2011 International Conference on Advanced Materials and Engineering Materials(2011先进材料与工程材料国际会议 ICAMEM 2011)

会议地点: 沈阳

会议语种:英文

页码: 655-662

在线出版日期: 2011-11-22（万方平台首次上网日期，不代表论文的发表时间）