现代电子技术2024，Vol.47Issue(9)：169-172,4.DOI:10.16652/j.issn.1004-373x.2024.09.030
基于改进遗传算法的资源优化调度方法
Resource optimized scheduling based on improved genetic algorithm
汤洪 1徐旺1
作者信息
- 1. 电子信息控制重点实验室,四川 成都 610036
- 折叠
摘要
Abstract
Optimized scheduling of resources plays a key role in utilizing sufficient countermeasure effectiveness of electronic warfare(EW)aircrafts and achieving better combat effectiveness.In this paper,the target priority of radar,jamming to signal ratio and frequency are taken as the elements to construct the objective function of operational effectiveness,and establish the resource optimized scheduling model of EW.And then,the optimized scheduling scheme of the model is solved by the improved genetic algorithm(GA).Simulation results have shown that the solution can effectively improve the overall combat effectiveness of EW aircrafts.关键词
对抗/作战效能/优先度/目标函数/资源调度/遗传算法/优化Key words
countermeasure/combat effectiveness/priority/objective function/resource scheduling/GA/optimization分类
信息技术与安全科学引用本文复制引用
汤洪,徐旺..基于改进遗传算法的资源优化调度方法[J].现代电子技术,2024,47(9):169-172,4.
