搜索结果: 1-15 共查到“水文学 genetic”相关记录18条 . 查询时间(0.161 秒)
Application of Neuro-Genetic Algorithm to Determine Reservoir Response in Different Hydrologic Adversaries
neuro-genetic models reservoir response
2015/3/1
The hydrologic adversaries like high magnitude storms, extreme dryness, aridity, more than normal
demand for water etc. often cause a huge stress on the storage structures such as reservoirs and che...
Genetic programming as a model induction engine
Genetic programming model induction engine
2009/12/7
Present day instrumentation networks already provide immense quantities of data, very little of which provides any insights into the basic physical processes that are occurring in the measured medium....
A hydroinformatician's approach to computational innovation and the design of genetic algorithms
hydroinformatician's approach computational innovation genetic algorithms
2009/12/7
The paper discusses how a computational hydralician got involved in the design, implementation, and application of genetic algorithms - search procedures based on the mechanics of natural selection an...
A genetic algorithm for optimizing off-farm irrigation scheduling
Agenetic algorithm optimizing off-farm irrigation scheduling
2009/12/4
This paper examines the use of genetic algorithm (GA) optimization to identify water delivery schedules for an open-channel irrigation system. Significant objectives and important constraints are iden...
A multiobjective approach to cost effective long-term groundwater monitoring using an elitist nondominated sorted genetic algorithm with historical data
multiobjective approach effective long-term groundwater monitoring sorted genetic algorithm
2009/12/4
This study presents a methodology for quantifying the tradeoffs between sampling costs and local concentration estimation errors in an existing groundwater monitoring network. The method utilizes hist...
Comparative application of artificial neural networks and genetic algorithms for multivariate time-series modelling of algal blooms in freshwater lakes
Comparative application artificial neural networks genetic algorithms time-series modelling
2009/12/4
The paper compares potentials and achievements of artificial neural networks and genetic algorithms in terms of forecasting and understanding of algal blooms in Lake Kasumigaura (Japan). Despite the c...
Application of genetic algorithms for optimal seasonal furrow irrigation
Application genetic algorithms optimal seasonal furrow irrigation
2009/12/4
A quasi-optimum irrigation season calendar based on economic profit maximization for sloping and runoff-free furrows can be obtained by OPTIMEC (EConomic OPTIMization, in Spanish), a seasonal furrow i...
Optimal sampling in a noisy genetic algorithm for risk-based remediation design
Optimal sampling noisy genetic algorithm risk-based remediation design
2009/12/4
A groundwater management model has been developed that predicts human health risks and uses a noisy genetic algorithm to identify promising risk-based corrective action (RBCA) designs. Noisy genetic a...
Genetic algorithms for real-time operation of multipurpose water resource systems
Genetic algorithms real-time operation multipurpose water resource systems
2009/12/4
This paper deals with the application of genetic algorithms to the operation of a water resource system in real time. A genetic algorithm was developed and applied to solve an optimization model for t...
Using genetic programming to determine Chèzy resistance coefficient in corrugated channels
genetic programming Chèzy resistance coefficient corrugated channels
2009/12/4
Genetic Programming has been used to determine Chèzy resistance coefficient for full circular corrugated channels. Three corrugated plastic pipes have been experimentally studied in order to generate ...
Calibration of nearshore process models ATitlemdash;application of a hybrid genetic algorithm
Calibration nearshore process models ATitlemdash hybrid genetic algorithm
2009/12/4
The physically realistic functions implemented in nearshore process models are governed by parameters that usually do not represent measurable attributes of the nearshore and, therefore, need to be de...
Derivation of effective and efficient data set with subtractive clustering method and genetic algorithm
Derivation effective and efficient data set subtractive clustering method genetic algorithm
2009/12/4
Success of any forecasting model depends heavily on reliable historical data, among others. Data are needed to calibrate, fine tune and verify any simulation model. However, data are very often contam...
Rainfall Runoff Modelling Based on Genetic Programming
Rainfall Runoff Modelling Genetic Programming
2009/10/22
The runoff formation process is believed to be highly non-linear, time varying,
spatially distributed, and not easily described by simple models. Considerable
time and effort has been directed to mo...
Calibration of a crop model to irrigated water use using a genetic algorithm
Calibration a crop model irrigated water use a genetic algorithm
2009/9/11
Near-term consumption of groundwater for irrigated agriculture in the High Plains Aquifer supports a dynamic bio-socio-economic system, all parts of which will be impacted by a future transition to su...
The Use of Neural Networks and Genetic Algorithms for Design of Groundwater Remediation Schemes
Neural Networks groundwater pollution Groundwater Remediation Schemes
2009/6/8
The increasing incidence of groundwater pollution has led to recognition of a need to develop objective techniques for designing reniediation schemes. This paper outlines one such possibility for dete...