土石坝初始漏测沉降的分层遗传计算方法

Hierarchic Genetic Algorithm Method of the Initial Omission Settlement of Earth-rock Dam

针对土石坝初始漏测沉降常规计算方法中对实际沉降过程描述差的缺点,提出了一种基于分层遗传算法的土石坝初始漏测沉降计算新方法,该方法将初始漏测沉降自身也作为优化的参数,对3个参数进行分层优化。实例证明,该方法合理有效,计算精度高,同常规方法相比具有明显的优越性。

This paper, the initial omission settlement of earth-rock dam is optimized based on Hierarchic Genetic Algorithm by setting the omission settlement as a new regression gene and optimizing the three parameter in different GA layers. The result has testified that the value obtained from the HGA model is better than the one from early model which is far away from the real settlement process.