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Application of Hybrid Genetic Algorithm in Control Network Adjustment

机译:混合遗传算法在控制网平差中的应用

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In this paper a hybrid genetic algorithm which consists of the simplex method and the genetic algorithm is proposed for the defect of poor local search ability of genetic algorithm. The hybrid genetic algorithm has the advantages of good global convergence of the genetic algorithm and excellent local search ability of the simplex method and can improve search speed and calculation accuracy. The hybrid algorithm is applied to the control network adjustment and experimental results demonstrates the effectiveness and superiority of the algorithm.
机译:针对遗传算法局部搜索能力差的缺点,提出了一种将单纯形法与遗传算法相结合的混合遗传算法。混合遗传算法具有遗传算法全局收敛性好、单纯形法局部搜索能力强的优点,可以提高搜索速度和计算精度。将该混合算法应用于控制网平差中,实验结果表明了该算法的有效性和优越性。

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