遗传算法在电容器优化配置中的应用及改进[EB/OL]
北京：中国科技论文在线
） 摘要： 遗传算法是一种有效的电力系统无功优化算法
本文在标准遗传算法的基础上对遗传算法做了改进
算例分析显示该算法较标准遗传算法有较快的收敛速度
标准遗传算法
丁晓群
） Abstract： Genetic algorithm is an effective method for reactive power optimization
This paper put forward a more effective method-the improved genetic algorithm based on simple genetic algorithm
This methed used a novel adaptive genetic algorithm(AGA) that adaptively adjusts the crossover and mutation probability
The result of the experiment has proved that the adaptable genetic algorithm is better than the standard genetic algorithm
Keywords： Reactive power optimization
Standard genetic algorithm
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