搜索资源列表
scripts
- 在一个任意的天线方向图下,利用遗传算法使其接近所给的理想天线方向图。这种方法已经在NASA和其他机构中所利用来制造航天器。这些程序是自动生成一个2.4GHz的微波天线,利用遗传算法和NEC2模拟工具,来实现优化天线。包括最初级的简单双极形天线,在这个基础上又设计了三维空间中两部分天线和三维空间中多部分天线。-In a partially random antenna layout, and use a genetic algorithm to evolve a better solution.
Ga
- 基于遗传算法的矩量法计算程序,用于优化天线结构-Based on genetic algorithm method of moments computer program for optimization of antenna structure
ZVF
- 基于遗传算法的矩量法计算程序,用于优化天线结构-Based on genetic algorithm method of moments computer program for optimization of antenna structure
Synthesis_of_Antenn_Array_Using_GA_and_Design_Matl
- 遗传算法在非线性数值优化方面有着很强的生命力 ,适于波束赋形阵列天线的综合。Matlab 具有很强的数值计算能力和数据图视功能 ,经过二十多年的发展 ,逐渐成为工程师们进行数值优化的首选计算机语言。以一部具有余割平 方波束的雷达搜索天线阵为例 ,采用遗传算法对其馈电相位进行优化 ,优化结果与目标吻合。同时给出其主要节点的 Matlab程序。-Nonlinear numerical optimization genetic algorithm has a strong vitality, suit
xu
- 遗传算法对直线天线阵列方向图的综合,采用整数编码,跨代竞争选择策略-Linear antenna array genetic algorithm, a comprehensive pattern
rectangle-plane-antenna-array
- 运用遗传算法对不等幅不等距矩型平面阵列的最大相对旁瓣电平进行了优化 , 通过提出新的 自适应 变异算子改进了算法的收敛性能 , 良好的计算结果表明遗传算法是 目前求解此类问题的有效方法-Genetic algorithms applied to unequal amplitude equidistant rectangular planar array, the maximum relative sidelobe level is optimized by presenting a
ultra-low-sidelobe-pattern
- 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 standa
GA-optimize-for-antenna-array
- 文章详细叙述了基于遗传算法的天线阵优化方法-Article details the antenna array based on genetic algorithm optimization method
improvedGAmain
- 优化天线的副瓣电平,利用遗传算法进行优化,可使副瓣电平达到-20dB-Optimized antenna sidelobe level, the use of genetic algorithms to optimize the sidelobe level can achieve-20dB
Plane_amplitude_phase_TX_SM
- 这个遗传算法用于优化天线的幅度和相位两个目标,并且适用于多个优化参数的优化,能达到很好的效果,可以用于其它各种天线的优化。-The genetic algorithm is used to optimize the antenna amplitude and phase of the two target, optimization and is applicable to multiple parameter optimization, can achieve very good result
pattern_phase
- 天线线阵的优化,优化副瓣,讲解详细,遗传算法-Linear array antenna optimization, optimization sidelobes explain in detail, the genetic algorithm. . . . . .
genetic
- 采用遗传算法实现天线阵波束形成,算法实现方便,便于操作。-The genetic algorithm is used to realize the antenna array beamforming algorithm, convenient, easy to operate.
GA-fortran
- 遗传算法 二进制编码 可以分析阵列天线等多目标的优化问题-Binary-coded genetic algorithm optimization problems can be analyzed, such as multi-target array antenna
num
- 用遗传算法优化对称振子天线阵列的副瓣电平-Genetic Algorithms sidelobes symmetrical dipole antenna array
using-GA-in-antenna-array
- 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
1
- Antenna array synthesis using genetic algorithm
speedreducer
- Linear Antenna arrays provide alternative solution to dimensional structure of Antennas such as paraboloidal cylinders, paraboloids, offset focus paraboloids etc. This paper presents the survey of various evolutionary approaches for linear ar
ds
- hkvnm Linear Antenna arrays provide alternative solution to dimensional structure of Antennas such as paraboloidal cylinders, paraboloids, offset focus paraboloids etc. This paper presents the survey of various evolutionary approaches for linea
genetic-algorithm
- MATLAB-HFSS联合仿真,以遗传算法优化开槽优化微带天线带宽,还需下载hfss-hfss-api方能使用,别忘了修改路径-MATLAB-HFSS-patch antenna
GA-Optimization-of-Antenna-Array
- 本程序主要在MATLAB环境下实现笔状阵列天线的遗传算法的优化。-This procedure mainly in the MATLAB environment to achieve the pen-shaped array antenna genetic algorithm optimization.