摘要
本文针对常规遗传算法缺点 ,根据具体问题的特征 ,对火电厂内机组优化组合中的遗传算法从各个环节进行了改进 ,实例计算表明 ,该方法收敛性好、适应性强。
To the weakness of Genetic Algorithm(GA)and based on the character of the practical question,a refined GA is presented in this paper to optimize the unit commitment in the thermal power plant.The simulation shows that the method has good convergence and adaptability,can achieve optimal solution more efficiently or can be close to whole optimization
出处
《电力系统及其自动化学报》
CSCD
2001年第2期16-19,共4页
Proceedings of the CSU-EPSA
