水库优化调度扰动遗传算法研究  

Research on Disturbance Genetical Algorithm Applied in Optimization Management of Reservoir

作　　者：方国华[1] 耿建强[1] 

机构地区：[1]河海大学水利水电工程学院,江苏南京210098

出　　处：《水电能源科学》2009年第6期38-40,共3页Water Resources and Power

摘　　要：针对水库优化调度动态规划法及二进制遗传算法在求解应用中的不足,提出了扰动遗传算法,并建立了年发电量最大为目标的水库优化调度模型。算例结果表明,该算法可在不增加二进制编码长度的前提下更逼近最优解,提高了算法精度。In view of the deficiency in both general optimization methods and Genetical Algorithm（GA） coded in binary used in reservoir optimal operation, the paper puts forward Disturbance Genetic Algorithm（DGA）, which is based on General Genetic Algorithm. It can improve the algorithm accuracy and is more close to the optimal solution without increasing the length of binary code.

关 键 词：扰动遗传算法 长期优化调度 二进制编码 扰动系数 

分 类 号：TV697.11[水利工程—水利水电工程]