摘要
防空作战中的目标分配问题属于NP完全问题,在综合考虑火力单元作战效能和防御效能的基础上,引入火力单元综合有利度,建立了一种用于大规模多火力单元对抗多轮次目标的静态目标分配模型,给出了基于GA因子的改进PSO算法,并将算法应用于目标分配模型的求解,通过VC 6.0编程和计算机仿真验证了模型的可行性和算法的有效性。
The weapon-target assignment in air defense battles is an NP complete problem. Based on battle damage efficiency and defense efficiency, the integrative advantageous degree is introduced to construct a new static model for weapon-target assignment with large-scale multiply firepower resisting multiply targets. Moreover, the improved particle swarm optimization （PSO） based on genetic hybrid genes algorithm is presented and used as the optimization calculated method of the weapon-target assignment model. According to programming under VC 6.0 environment and computer simulation, the model feasibility and the arithmetic validity has been proved
出处
《现代防御技术》
北大核心
2011年第3期14-19,共6页
Modern Defence Technology
关键词
目标分配
综合有利度
GA因子
PSO算法
weapon-target assignment
integrative advantageous degree
genetic hybrid （ GA ） genes
particle swarm optimization（PSO） algorithm
