基于遗传算法的水电站优化调度研究

Study on the optimal operation of hydropower station based on genetic algorithms

用基于十进制编码的遗传算法研究水电站优化调度问题 ,与通常采用的基于二进制编码的遗传算法相比 ,采用十进制编码 ,避免了由于二进制编码串很长而造成的算法搜索效率低的缺陷 .实例计算中 ,以动态规划法求得的优化解为比较基础 ,采用十进制编码较之二进制编码在相同进化内更接近最优值 ,运行速度大大加快 。

This paper presents a genetic algorithms (GAs) based on denary coding for optimal operation of hydropower station. Compared with the GAs based on binary coding adopted ususally, the GAs based on denary coding is more efficient. An example proved GAs based on denary coding could produce better result within same generation and operate significantly faster in contrast to GAs on binary coding.