摘要
遗传算法是近10年来发展的基于自然选择规律的一种优化方法，算法能成功的解决无功变量中的离散问题，避免常规数学优化方法的局部最优现象。本文阐述了简单遗传算法以及遗传算法与其它算法相结合的算法在电力系统无功优化中的应用和今后的发展方向。
The Genetic Algorithm(GA) is an optimization method which has been developed in the past decade, based on the concept of natural selection. This method can successfully solve the discrete independent variable problems and avoid the local optimal solutions in conventional mathematical optimization problem. In this paper a simple genetic algorithm and genetic algorithm combined with other arithmetics and its' application in reavtive power optimization of power system are described briefly, the genetic algorithm's advance direction in the future also presented.
出处
《西北水力发电》
2003年第1期11-13,共3页
Journal of Northwest Hydroelectric Power
