火力与指挥控制2018，Vol.43Issue(1)：62-66,5.DOI:10.3969/j.issn.1002-0640.2018.01.013
基于改进布谷鸟算法的目标分配问题
Research on Improved Cuckoo Search Algorithm in Target Assignment
李宜芮 1张云志 1王刚 1王晶晶1
作者信息
- 1. 空军工程大学防空反导学院,西安710051
- 折叠
摘要
Abstract
In view of the real-time dynamic,high efficiency and the stability requirement of operational decision in air defense combat,a cuckoo algorithm based on population coevolution model is proposed.On the basis of the less parameters,easy to implement and better global search of the cuckoo algorithm,aiming at the problem of convergence speed,the model of population co-evolution is established.By adding the immune mechanism and using gauss mutation operator,the convergence efficiency and evolution of the algorithm is improved. The simulation results show that the improved cuckoo algorithm is capable of distributing the firepower effectively and quickly,the method has certain feasibility.关键词
目标分配/布谷鸟算法/种群协同进化/高斯变异Key words
weapon-target assignment(WTA)/cuckoo search algorithm/population co-evolution/gauss mutation分类
信息技术与安全科学引用本文复制引用
李宜芮,张云志,王刚,王晶晶..基于改进布谷鸟算法的目标分配问题[J].火力与指挥控制,2018,43(1):62-66,5.
