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针对传统算法复合形法在求解非线性方程组时依赖于初始值的选定和人工萤火虫群算法(GSO)算法在求解非线性方程组时求解精度低的缺点,提出一种基于复合形法的GSO算法(CGSO)求解非线性方程组方法.改进后的算法克服了传统算法的缺点且有效的提高了GSO算法在求解非线性方程组的精度.最后,通过对6个非线性方程组的仿真实验结果和传统算法,以及其他群智能算法进行比较,进而说明了CGSO算法的有效性.
Aiming at the shortcomings that the complex algorithm of the traditional algorithm relies on the initial value selection and the artificial firefly swarm algorithm (GSO) algorithm to solve the nonlinear equations when solving the nonlinear equations, a new method based on complex method GSO algorithm (CGSO) to solve the nonlinear equations method.The improved algorithm overcomes the shortcomings of the traditional algorithm and effectively improves the accuracy of the GSO algorithm in solving nonlinear equations.Finally, through the simulation of six nonlinear equations Experimental results and traditional algorithms, as well as other group intelligent algorithms are compared to illustrate the effectiveness of the CGSO algorithm.