文件名称:ultra-low-sidelobe-pattern
介绍说明--下载内容来自于网络,使用问题请自行百度
基于对标准遗传算法中收敛依赖于初始群体选择的困难所作的分析,提出交替使用两种遗传繁殖操作
产生后代群体以摆脱收敛对初始群体选择的依赖. 对于超低副瓣线阵天线的方向图综合问题,建立了改进的遗传算法
优化模型.计算实例说明改进后的遗传算法其收敛不依赖于初始群体的选择,具有实际应用前景.
-Difficulties by the analysis of convergence depends on the initial group selected based on the standard genetic algorithm, the proposed alternate use of two genetic breeding operations produce offspring groups to get rid of the dependence of convergence on the initial population choice for ultra-low sidelobe linear array antenna pattern, the establishment of a genetic algorithm optimization model calculation examples of the improved genetic algorithm convergence does not depend on the choice of the initial population, with a practical prospect
产生后代群体以摆脱收敛对初始群体选择的依赖. 对于超低副瓣线阵天线的方向图综合问题,建立了改进的遗传算法
优化模型.计算实例说明改进后的遗传算法其收敛不依赖于初始群体的选择,具有实际应用前景.
-Difficulties by the analysis of convergence depends on the initial group selected based on the standard genetic algorithm, the proposed alternate use of two genetic breeding operations produce offspring groups to get rid of the dependence of convergence on the initial population choice for ultra-low sidelobe linear array antenna pattern, the establishment of a genetic algorithm optimization model calculation examples of the improved genetic algorithm convergence does not depend on the choice of the initial population, with a practical prospect
(系统自动生成,下载前可以参看下载内容)
下载文件列表
ultra-low sidelobe pattern.pdf
本网站为编程资源及源代码搜集、介绍的搜索网站,版权归原作者所有! 粤ICP备11031372号
1999-2046 搜珍网 All Rights Reserved.