| 基于GA-PSO的目标分配问题研究 |
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| 引用本文： | 范海雄,刘付显,夏璐.基于GA-PSO的目标分配问题研究[J].现代防御技术,2011,39(3). |
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| 作者姓名： | 范海雄 刘付显 夏璐 |
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| 作者单位： | 空军工程大学导弹学院,陕西三原,713800 |
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| 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.
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| 关 键 词： | 目标分配 综合有利度 GA因子 PSO算法 |
The Weapon-Target Assignment Based on GA-PSO Algorithm |
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| FAN Hai-xiong,LIU Fu-xian,XIA Lu.The Weapon-Target Assignment Based on GA-PSO Algorithm[J].Modern Defence Technology,2011,39(3). |
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| Authors: | FAN Hai-xiong LIU Fu-xian XIA Lu |
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| Institution: | FAN Hai-xiong,LIU Fu-xian,XIA Lu(AFEU,Missile Institute,Shaanxi Sanyuan 713800,China) |
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| Abstract: | 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 ... |
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| Keywords: | weapon-target assignment integrative advantageous degree genetic hybrid(GA) genes particle swarm optimization(PSO) algorithm |
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