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二倍体遗传算法求解梯级水电站日优化调度问题
引用本文:伍永刚,王定一.二倍体遗传算法求解梯级水电站日优化调度问题[J].水电能源科学,1999,17(3):31-34.
作者姓名:伍永刚  王定一
作者单位:华中理工大学
摘    要: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.仿真计算结果验证了算法的有效性

关 键 词:遗传算法  二倍体基因  梯级电站  短期调度  优化
修稿时间:1999年5月14日

To Solve the Daily Cascaded Stations Optimal Scheduling with a Diploid Genotypes Based on Genetic Algorithm
Wu Yonggang,Wang Dingyi.To Solve the Daily Cascaded Stations Optimal Scheduling with a Diploid Genotypes Based on Genetic Algorithm[J].International Journal Hydroelectric Energy,1999,17(3):31-34.
Authors:Wu Yonggang  Wang Dingyi
Affiliation:Wu Yonggang Wang Dingyi
Abstract: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.
Keywords:genetic algorithm  diploid genotypes  cascaded stations  short  term scheduling  optimization
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