摘要
遗传算法是近些年发展起来的基于自然选择规律的一种优化方法。本文在传统遗传算法的基础上，对遗传操作进行了进一步研究和改进．提出厂改进遗传算法。电力系统的无功优化问题实例计算表明、改进遗传算法的优化结果可以更有效地达到或接近全局最优。
A Genetic Algorihm (GA ) is an optimlzallonmethod which has been developed in the past several yearsbased on the concept of natural selection. A Refined GerleticAlgorithm (RGA ) with an improvement upon the genecticoperations is presented in this Paper .and is applied in reactivepower optimization. The simulation results show that theRGA method can find optimal solution more efficiently.
出处
《电网技术》
EI
CSCD
北大核心
1997年第12期1-3,11,共4页
Power System Technology
关键词
无功优化
遗传算法
电力系统
Reactive power optimization Refined Genetic Algorithm (RGA) Genetic operation
