Are modern metaheuristics successful in calibrating simple conceptual rainfall–runoff models?     

Adam P. Piotrowski  Maciej J. Napiorkowski  Jaroslaw J. Napiorkowski  Marzena Osuch  Zbigniew W. Kundzewicz 《水文科学杂志》2017,62(4):606-625

In recent years sampling approaches have been used more widely than optimization algorithms to find parameters of conceptual rainfall–runoff models, but the difficulty of calibration of such models remains in dispute. The problem of finding a set of optimal parameters for conceptual rainfall–runoff models is interpreted differently in various studies, ranging from simple to relatively complex and difficult. In many papers, it is claimed that novel calibration approaches, so-called metaheuristics, outperform the older ones when applied to this task, but contradictory opinions are also plentiful. The present study aims at calibration of two simple lumped conceptual hydrological models, HBV and GR4J, by means of a large number of metaheuristic algorithms. The tests are performed on four catchments located in regions with relatively similar climatic conditions, but on different continents. The comparison shows that, although parameters found may somehow differ, the performance criteria achieved with simple lumped models calibrated by various metaheuristics are very similar and differences are insignificant from the hydrological point of view. However, occasionally some algorithms find slightly better solutions than those found by the vast majority of methods. This means that the problem of calibration of simple lumped HBV or GR4J models may be deceptive from the optimization perspective, as the vast majority of algorithms that follow a common evolutionary principle of survival of the fittest lead to sub-optimal solutions.  相似文献   

锥形束重构解析算法的研究历程及内在联系     

李真真  杜明辉 《CT理论与应用研究》2006,15(4):7-12

本文提出了锥形束重构解析算法研究历程中的主要问题,阐述了锥形束重构领域相关数学理论和数值计算方法建立与发展的脉络,剖析了锥形束重构研究过程中各算法的内在联系。指出了该领域今后研究工作的某些关键问题。  相似文献   

卧虎山水库不同算法LS因子值适用性分析   总被引：1，自引：1，他引：0  

胡刚  宋慧  石星军  张绪良  方海燕 《地理科学》2015,35(11):1482-1488

在总结以往LS因子相关算法研究基础上,结合McCool的LS因子参照值,对LS算法的适用性进行评价分析。研究表明,除去复合算法和Remortel修正算法外,其他不同算法LS因子值都小于参照值;研究区LS因子值的最优算法为基于Remortel迭代运算的修正算法;其次为结合刘宝元的陡坡公式和Remortel改进L指数因子迭代运算的复合算法,以及Remortel第4版AML程序算法;再次为B?hner算法,而Moore算法和Desmet算法,由于其与参照值的相关性相对较差,而且其RMSE相对较大,不推荐在该区使用。  相似文献   

基于Storm的地理编码引擎     

余靖毅  邬伦  高勇 《地球信息科学学报》2015,17(12):1431-1441

近年来,随着Web 2.0和具有位置感知能力的移动计算设备的普及应用,带来了大量含有时空语义的地理大数据。在这个背景下,以地图厂商人工方式和半自动方式更新地名地址库为基础的传统地理编码服务,已难以满足新的应用需求。本文提出一种地理大数据驱动的自适应地理编码引擎的构建思路和方法,通过引入实时计算和流式计算平台Storm,实现对网络中的多源地理大数据的爬取与实时处理,加速地名地址库及相关资源的生成与更新过程,并给出了相适应的地理编码匹配方法。在实时流式计算框架基础上,通过JTS Topology Suite实现流式并行的空间操作,设计并实现了基于Storm的地理编码引擎原型系统,满足多源地理大数据的高效处理和地理编码要求。实验结果表明,该引擎通过实时流式处理可加速地址库的扩充与更新过程,并且利用地址库持续更新的方法,提升了地理编码的匹配率和定位准确度。  相似文献   

混沌遗传算法在高层结构风振控制优化中的应用研究     

张雷  张永山  莊初立  汪大洋  蔡长青 《华南地震》2014,(2):19-24

将混沌遗传算法(Chaos Genetic Algorithm,简称CGA)引入高层结构的风振控制优化中,对采用黏弹性阻尼器来控制风振响应的高层结构进行参数优化;用Matlab语言编制了均布法、迭代法、简单遗传算法(Simple Genetic Algorithm,简称SGA)和混沌遗传算法的风振控制优化分析程序;对9个高层结构进行风振控制优化,对比了算法程序的计算效率以及无控、均布、迭代、SGA和CGA工况下的结构风振响应。研究结果表明:混沌遗传算法可以应用于高层结构风振控制优化之中;混沌遗传算法的计算效率比简单遗传算法最高提升了29%;经混沌遗传算法优化后,黏弹性阻尼器附加给结构的附加阻尼比与均布和迭代相比最高分别提高了61%和22%,CGA工况的顶层加速度响应与均布和迭代法相比最高分别减小了14%和12%。为高层结构风振控制优化研究提供了新思路,具有一定的理论价值和实际意义。  相似文献   

基于遗传算法的神经网络短期气候预测模型   总被引：15，自引：3，他引：12  

金龙  吴建生  林开平  陈冰廉 《高原气象》2005,24(6):981-987

用遗传算法优化神经网络的连接权和网络结构,并在遗传进化过程中采取保留最佳个体的方法,进行短期气候预测建模研究。该方法克服了由于神经网络初始权值的随机性和网络结构确定过程中所带来的网络振荡,以及网络极易陷入局部解问题。作为应用实例,以广西全区4月份平均降水作为预报量及前期500hPa月平均高度场,海温场高相关区作为预报因子,建立基于遗传算法的神经网络短期气候预测模型。将这种方法与传统的逐步回归方法作对比分析,结果表明,该方法具有预报精度高,稳定性好的特点。  相似文献   

北大西洋风暴轴高低空分布及其能量诊断     

余霄  黄菲  王鑫  管承扬  张荣望 《气候与环境研究》2017,22(6):658-670

利用1979~2013年NCEP再分析数据,通过经验正交分解对比了前冬时期北大西洋风暴轴的高低空分布,并用涡动动能(Eddy Kinetic Energy,EKE)方程对风暴轴高低空分布型差异进行了诊断。研究结果表明:上层和下层第一空间分布型差异巨大,对流层下层风暴轴中心偏北,靠近极地,而上层风暴轴中心偏西南,靠近北美沿岸。EKE方程诊断结果表明:正压转换项在高低空符号相反,导致了EKE在上、下层分布出现显著差异,即上层正压转换项为负,在扰动发展中起能量耗散作用,而下层正压转换项为正,且极大值区域对应下层EKE极大值区域,为风暴轴下层向极区域增强的主要原因。而斜压转换和非地转位势通量散度在上层均为正,且远大于下层,为风暴轴上层涡动能量维持的原因,也从涡动能量收支上解释了风暴轴的主体出现在上层。  相似文献   

基于遗传神经网络的入侵特征选择模型     

李享梅  张仕斌 《成都信息工程学院学报》2013,(6):598-603

针对高维数据包含的不相关和冗余特征影响检测方法性能的问题,提出了基于遗传神经网络入侵特征选择模型.该模型在传统的遗传神经网的输入层和隐含层之间增加特征选择层,并在特征选择层与输入层间设置连接开关,如果开关合上,则该特征被选中;否则为放弃.实验结果表明,该模型在保持原有信息完整性的同时,能有效减少冗余特性;在保证检测准确率的前提下,有效提高系统的检测速度.  相似文献   

Estimation of monthly reference evapotranspiration using novel hybrid machine learning approaches     

《水文科学杂志》2012,57(15):1824-1842

ABSTRACT

In this research, five hybrid novel machine learning approaches, artificial neural network (ANN)-embedded grey wolf optimizer (ANN-GWO), multi-verse optimizer (ANN-MVO), particle swarm optimizer (ANN-PSO), whale optimization algorithm (ANN-WOA) and ant lion optimizer (ANN-ALO), were applied for modelling monthly reference evapotranspiration (ET_o) at Ranichauri (India) and Dar El Beida (Algeria) stations. The estimates yielded by hybrid machine learning models were compared against three models, Valiantzas-1, 2 and 3 based on root mean square error (RMSE), Nash-Sutcliffe efficiency (NSE), Pearson correlation coefficient (PCC) and Willmott index (WI). The results of comparison show that the ANN-GWO-1 model with five input variables (T_min, T_max, RH, U_s, R_s) provides better estimates at both study stations (RMSE = 0.0592/0.0808, NSE = 0.9972/0.9956, PCC = 0.9986/0.9978, and WI = 0.9993/0.9989). Also, the adopted modelling strategy can build a truthful expert intelligent system for estimating the monthly ET_o at study stations.  相似文献   

A conceptual evolutionary aseismic decision support framework for hospitals     

Yufeng Hu  Gary F. Dargush  Xiaoyun Shao 《地震工程与工程振动(英文版)》2012,11(4):499-512

In this paper, aconceptual evolutionary framework for aseismic decision support for hospitalsthat attempts to integrate a range of engineering and sociotechnical models is presented. Genetic algorithms are applied to find the optimal decision sets. A case study is completed to demonstrate how the frameworkmay applytoa specific hospital.The simulations show that the proposed evolutionary decision support framework is able to discover robust policy sets in either uncertain or fixed environments. The framework also qualitatively identifies some of the characteristicbehavior of the critical care organization. Thus, by utilizing the proposedframework, the decision makers are able to make more informed decisions, especially toenhance the seismic safety of the hospitals.  相似文献