基于RAGA的PPPCA模型在水资源配置方案中的应用
发布时间：2018-08-27 13:44
【摘要】：为了解决日益突出的水资源供需矛盾并得到较为合理的水资源配置方案,将投影寻踪主成分分析模型(PPPCA)与加速遗传算法(RAGA)相结合,即利用PPPCA对配置过程中涉及的指标特征变量较多等问题进行降维处理,采用RAGA解决高维全局寻优问题,并将其应用于台兰河灌区水资源配置方案中。结果表明,采用加速遗传算法与投影寻踪主成分分析模型得出的配置方案合理、可行。
[Abstract]:In order to solve the increasingly prominent contradiction between supply and demand of water resources and to obtain a more reasonable water resources allocation scheme, the projection pursuit principal component analysis (PPPCA) model is combined with the accelerated genetic algorithm (RAGA). That is to say, PPPCA is used to reduce the dimension of the problems involved in the process of allocation, and RAGA is used to solve the problem of global optimization of high dimension, and it is applied to the allocation of water resources in Tailanhe Irrigation area. The results show that the configuration scheme based on accelerated genetic algorithm and projection pursuit principal component analysis model is reasonable and feasible.
【作者单位】： 河海大学水利水电学院;
【基金】：水利部2009年公益性基金项目(200901084)
【分类号】：TV213.4
，
本文编号：2207469
[Abstract]:In order to solve the increasingly prominent contradiction between supply and demand of water resources and to obtain a more reasonable water resources allocation scheme, the projection pursuit principal component analysis (PPPCA) model is combined with the accelerated genetic algorithm (RAGA). That is to say, PPPCA is used to reduce the dimension of the problems involved in the process of allocation, and RAGA is used to solve the problem of global optimization of high dimension, and it is applied to the allocation of water resources in Tailanhe Irrigation area. The results show that the configuration scheme based on accelerated genetic algorithm and projection pursuit principal component analysis model is reasonable and feasible.
【作者单位】： 河海大学水利水电学院;
【基金】：水利部2009年公益性基金项目(200901084)
【分类号】：TV213.4
，
本文编号：2207469
本文链接：https://www.wllwen.com/kejilunwen/zylw/2207469.html
