摘要
针对相控阵雷达最优化调度问题,提出了自适应遗传算法的解决方案。在分析雷达约束模型的基础上,设计了相应的编码方式、适应度函数、遗传操作等遗传算法的求解步骤;并提出了既考虑到进化代数对算法影响,又考虑到每代中不同个体适应度对算法作用的自适应交叉概率和变异概率。仿真实例表明该方法可以完成对各项雷达申请事件的合理调度,保证较高的成功被调度率和时间利用率。
The adptive genetic algorithm is presented for optimal scheduhng ot pnaseu array ra- dar. The coding rules, fitness function and genetic operation for phased array radar scheduling based on the radar constraint model are designed. The adaptive crossover probability and adap- tive mutation probability are proposed, which consider the influence of every generation to algo- rithm and the effect individual fitness in every generation. Finally, through analyzing an exam- ple, this algorithm can accomplish scheduling reasonably and ensure high successful scheduled rate and utilizing rate of time.
出处
《电子信息对抗技术》
2014年第1期38-41,64,共5页
Electronic Information Warfare Technology
基金
国家自然科学基金资助项目(60974091)
关键词
相控阵雷达
最优化调度
自适应遗传算法
交叉概率
变异概率
phased array radar
optimal scheduling
adaptive genetic algorithm
crossover prob-ability
mutation probability
