面向机组最优投入的改进遗传算法及其应用

REVISED GENETIC ALGORITHM FOR UNITCOMMITMENT AND ITS APPLICATION

根据机组最优投入问题（ＵＣ）的特点，对遗传算法（ＧＡ）的算子作了有效的改进，研究了参数设置对机组投入问题的影响，建立了具有自适应能力的参数调整模型，大大提高了算法的收敛能力．基于Ｃ语言的位操作算子进行计算。

This paper presents a new revised genetic algorithm (GA) for unit commitment,especially.A model to adjust the parameters of GA automatically during convergence process is built which can get rid of the difficulty of parametersetting.The operators are performed with bitoperators of C language. An example demonstrates the effectiveness of these works.