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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.
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用遗传算法综合波束赋形基站天线-using genetic algorithms integrated base station antenna beamforming
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Transmit antenna subset selection in MIMO OFDM system using adaptive mutation genetic algorithm
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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
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antenna array synthesis using genetic algorithm
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用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,用MATLAB编写的遗传算法路径规划,相控阵天线的方向图(切比雪夫加权)。- Monte Carlo simulation method of calculating the American option price and basic descr iption, genetic algorithms using MATLAB path planning, Phased array antenna pattern (Chebyshev wei
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使用高阶累积量对MPSK信号进行调制识别,相控阵天线的方向图(切比雪夫加权),遗传算法无功优化。- using high-order cumulants of MPSK signal modulation recognition, Phased array antenna pattern (Chebyshev weights), genetic algorithm based reactive power optimization.
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使用matlab进行利用遗传算法对天线阵列进行优化。-using matlab and genetic algorithm to optimize the antenna array.
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genetic algorithms using MATLAB path planning, Phased array antenna pattern (Chebyshev weights), Independent component analysis for image processing.
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base station placement using genetic algorithm
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利用遗传算法优化10元稀疏天线阵列的单位间距,得到低副瓣的结果(using genetic algorithm to optimize the unit spacing of 10 element sparse antenna array, the result of low sidelobe is obtained)
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