电力系统中应用的遗传算发基于遗传算法的电力系统无功优化程序，可以帮您更好的进行电力系统的优化，使用标准的MATLAB程序-Application of genetic power system operator Electricity System Based on Genetic Algorithms reactive power optimization program that can help you better optimize power system using standard

遗传算法无功优化，21节点实例计算，可以运行-Genetic algorithm based reactive power optimization, 21 instances of computing nodes, you can run

matlab上实现的前推回代算法，结合遗传算法，有效的电网系统无功功率的优化问题，采用的模型是22节点的电力系统模型。-Matlab implementation of the forward and backward generation algorithm, combined with genetic algorithm, an effective power system reactive power optimization problem, the model is a 22 node

wolf 方法计算李雅普诺夫指数,遗传算法无功优化，matlab编写的元胞自动机。- wolf calculated Lyapunov exponent, Genetic algorithm based reactive power optimization, matlab prepared cellular automata.

毕设内容，高光谱图像基本处理，遗传算法无功优化，小波包分析提取振动信号中的特征频率。- Complete set content, basic hyperspectral image processing, Genetic algorithm based reactive power optimization, Wavelet packet analysis to extract vibration signal characteristic frequency.