文件名称:using-GA-in-antenna-array
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提出了整数编码，动态调整交叉概率、变异概率，并将适应度函数设为最大相对旁瓣电平,一种改进遗传算法的优化方法来实现直线稀疏阵列的设计-Proposed integer coding, dynamic adjustment of crossover probability, mutation probability, and the fitness function is set to the maximum relative sidelobe level, an improved genetic algorithm optimization method to achieve linear sparse array design
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下载文件列表
using-GA-in-antenna-array/
using-GA-in-antenna-array/best.m
using-GA-in-antenna-array/calfitval.m
using-GA-in-antenna-array/cross.m
using-GA-in-antenna-array/GA.m
using-GA-in-antenna-array/initpop.m
using-GA-in-antenna-array/mutation.m
using-GA-in-antenna-array/select.m
using-GA-in-antenna-array/best.m
using-GA-in-antenna-array/calfitval.m
using-GA-in-antenna-array/cross.m
using-GA-in-antenna-array/GA.m
using-GA-in-antenna-array/initpop.m
using-GA-in-antenna-array/mutation.m
using-GA-in-antenna-array/select.m
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