摘要
采用混合蛙跳算法优化投影寻踪模型对西江流域进行洪水分类的实例研究,并与其他优化算法进行比较。结果表明,混合蛙跳算法和投影寻踪模型进行洪水分类可行、有效。
The flood classification is the premise and foundation of the reservoir dispatcher, the flood electricity generation and the flood forecasting. The projection pursuit model is an effective classification approach, this paper attempts to use shuffled frog leaping algorithm for optimizing the projection pursuit model. Taking the West River as an example, the optimal flood classification optimum model is supplied by the projection pursuit model, which is solved by shuffled frog leaping algorithm. This paper also uses other optimization algorithm to optimize the projection pursuit model. The results illustrate the SFL-PPM is more valid and reasonable than that of the PS（YPPM. This paper proposed new optimization method to optimize the projection pursuit model and has provided the new model for the flood classification work.
出处
《水电能源科学》
北大核心
2009年第2期62-64,共3页
Water Resources and Power
基金
国家自然科学基金资助重点项目(50839005)
国家自然科学基金资助项目(50809078)
国家科技支撑计划基金资助项目(2006BAB14B07)
关键词
混合蛙跳算法
投影寻踪模型
洪水分类
shuffled frog leaping algorithm
projection pursuit model
flood classification
