Description: 用matlab开发的遗传算法来综合实现天线阵方向图的波束赋形-Matlab developed using genetic algorithm to realize an integrated pattern of antenna array beamforming Platform: |
Size: 330752 |
Author:王建 |
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Description: 混合遗传算法用于卫星自适应调零天线研究，好东西，未来发展的方向-Hybrid genetic algorithm for the adaptive nulling antenna satellite research, good things, the direction of future development Platform: |
Size: 397312 |
Author:libin |
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Description: 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. This approach has been used by NASA and others to design spacecraft antennas. A 2.4 GHz microwave antenna will be designed automatically using a genetic algorithm and the NEC2 simulation package. The initial steps will be to try to design a simple dipole antenna using this method (as the number of variables will be small), followed by an extension to NASA antennas with a larger number of design parameters. Platform: |
Size: 11264 |
Author:胡云 |
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Description: 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 Platform: |
Size: 1024 |
Author:陈波 |
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Description: 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 Platform: |
Size: 287744 |
Author:陈波 |
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Description: 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, suitable for antenna array beamforming integrated. Matlab has a strong numerical ability and visual function data plan, after 20 years of development, engineers have become the preferred numerical optimization computer language. To a beam with cosecant square antenna array radar search, for example, the genetic algorithm to optimize their feed phase to optimize the results coincide with the target. The main nodes are given Matlab program. Platform: |
Size: 330752 |
Author:victor728 |
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Description: 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 new adaptive mutation operator to improve the convergence of the algorithm performance, the calculation results show that the genetic algorithm is effective method for solving such problems Platform: |
Size: 234496 |
Author:侯杰 |
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Description: 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 Platform: |
Size: 124928 |
Author:侯杰 |
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Description: 基于差分进化算法和遗传算法的混合优化算法及其在阵列天线方向图综合中的应用-Based on differential evolution algorithm and genetic algorithm hybrid optimization algorithm and its application in the array antenna pattern synthesis of Platform: |
Size: 238592 |
Author:黑豆 |
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Description: 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. Platform: |
Size: 2048 |
Author:乔成林 |
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Description: 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 Platform: |
Size: 5120 |
Author:尚兴荣 |
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