二倍体遗传算法求解梯级水电站日优化调度问题

To Solve the Daily Cascaded Stations Optimal Scheduling with a Diploid Genotypes Based on Genetic Algorithm

应用二倍体遗传算法（ＤＧＡ）对梯级水电站日优化调度问题求解，其算法采用了两条等长度的二进制码表示个体，借助于基因显性机制，将个体基因码链与梯级系统日调度计划联系起来．基因显性机制采用一种简便的布尔函数关系实现．杂交算子采用个体基因链交换与重组方式实现，具有一致杂交算子的效果．

The genetic algorithm(GA) is a new way to tackle the problem of cascaded stations optimal scheduling.A diploid genotypes based GA is presented. The proposed approach uses a pair of binary strings with the same length to represent an individual.With the help of a dominance mechanism,which is realized by means of a simple Boolean algebra calculation,an individual can be easily decoded to the optimal schedule.The crossover operator is carried out through a string exchanging and recombining procession,which has the same effect as uniform crossover.The simulation results are found to be satisfactory.