测控技术2017，Vol.36Issue(8)：82-85,4.
基于非线性规划协同进化遗传算法的防空导弹火力优化分配研究
Fire Optimal Distribution of Air-Defense Missile Based on Nonlinear Programming Co-Evolutionary Genetic Algorithm
李宜芮 1刘进忙 1王刚1
作者信息
- 1. 空军工程大学防空反导学院,陕西西安710051
- 折叠
摘要
Abstract
The model of the air-defense missile fire allocation is established to improve the solving efficiency and performance,and a new nonlinear programming co-evolutionary genetic algorithm(NLPCGA) is presented.The algorithm synthesizes the advantages of the strong local search ability of nonlinear programaing algorithm (NLPA) and the high quality for solving of co-evolutionary algorithm(CA),and uses the genetic theory to improve the solving efficiency.The simulation result shows that NLPCGA is better than these two intelligent algorithms on the issue of fire distribution,and it can effectively and quickly find the optimal fire distribution scheme to provide support for air defense operation command and decision.关键词
非线性规划遗传算法/协同进化遗传算法/火力分配Key words
nonlinear programming genetic algorithm/co-evolutionary genetic algorithm/fire distribution分类
信息技术与安全科学引用本文复制引用
李宜芮,刘进忙,王刚..基于非线性规划协同进化遗传算法的防空导弹火力优化分配研究[J].测控技术,2017,36(8):82-85,4.
