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: 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: 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 results, optimization can be used for a variety of other antenna.
Platform: |
Size: 506880 |
Author:刘路 |
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Description: 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
array optimization like genetic algorithm, Particle swarm
optimization, Simulated Annealing, Bacteria Foraging and
Biogeography Based Optimization. From the survey It was
observed that biogeography based optimization is better for
antenna geometries. Platform: |
Size: 1024 |
Author:wael |
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Description: 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 linear
array optimization like genetic algorithm, Particle swarm
optimization, Simulated Annealing, Bacteria Foraging and
Biogeography Based Optimization. From the survey It was
observed that biogeography based optimization is better for
antenna geometries.-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 linear
array optimization like genetic algorithm, Particle swarm
optimization, Simulated Annealing, Bacteria Foraging and
Biogeography Based Optimization. From the survey It was
observed that biogeography based optimization is better for
antenna geometries. Platform: |
Size: 3072 |
Author:wael |
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Description: 遗传算法等智能算法只需要利用目标取值作为搜索信息无需目标函数梯度等高阶信息，适于并行处理等优点，尤其适用于处理传统搜索方法难于处理的非线性问题，因此，被许多学者引入并应用到阵列天线波束赋形领域.(Intelligent algorithms, such as genetic algorithm, only need to use the target value as the high order information of the search information without the objective function gradient and so on. It is suitable for parallel processing and other advantages. It is especially suitable for dealing with the nonlinear problem that the traditional search method is difficult to deal with. Therefore, many scholars have been introduced and applied to the array antenna beamforming field by many scholars.) Platform: |
Size: 163840 |
Author:ronnykop |
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Search - genetic for antenna