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[PDF] Top 20 Testing the structure of a hydrological model using Genetic Programming

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Testing the structure of a hydrological model using Genetic Programming

Testing the structure of a hydrological model using Genetic Programming

... During each successive generation a proportion of the existing population is “selected” to breed a new generation. Individual solutions are selected through a fitness-based process, where fitter solutions are typically ... See full document

30

Genetic Programming Testing Model

Genetic Programming Testing Model

... a model to be useful for groups of testers and for multiple testing tasks, it needs to be taken out of the mind of those who understand what the software is supposed to accomplish and written down in an ... See full document

5

Genetic Programming Algorithm for Designing of Control Systems

Genetic Programming Algorithm for Designing of Control Systems

... whose structure and parameters could be adjusted automatically using the proposed modification of the GP ...the structure and tun- ing parameters of the PIDC ...the model of a control object ... See full document

16

Genetic Algorithms and Programming-An Evolutionary Methodology

Genetic Algorithms and Programming-An Evolutionary Methodology

... The data presented in this paper is formulated on various studies and research work carried out, presenting various examples that explain in detail about the aspects of genetic programming. The final ... See full document

11

Review of Classification Using Genetic Programming

Review of Classification Using Genetic Programming

... automatically model the inherent data dependencies in its evolving structures and the algorithm may not require any explicit information or preprocessing regarding class or attribute dependencies ... See full document

10

Modelling Spatial-Temporal Dynamics of Cyanobacteria Abundance in Lakes by Integrating Cellular Automata and Genetic Programming

Modelling Spatial-Temporal Dynamics of Cyanobacteria Abundance in Lakes by Integrating Cellular Automata and Genetic Programming

... Genetic Programming (GP) belongs to the class of evolutionary algorithms (EAs), which evolve tree structures and find optimized solutions (Koza, 1994, ...the genetic algorithm (GA) concept, and ... See full document

10

Coupled simulation-optimization model for coastal aquifer management using genetic programming-based ensemble surrogate models and multiple-realization optimization

Coupled simulation-optimization model for coastal aquifer management using genetic programming-based ensemble surrogate models and multiple-realization optimization

... problems using coupled simula- ...rogate model predictions. The reliability of surrogate model predictions is dependent on the uncertainties in the model structure and ...surrogate ... See full document

17

New Model for Visco-Elastic Behavior of Asphalt Mixture with Combined Effect of Stress and Temperature

New Model for Visco-Elastic Behavior of Asphalt Mixture with Combined Effect of Stress and Temperature

... of Genetic Programming The scope of genetic programming in this study is the automatic generation of a mathematical model that estimates the viscoelastic behavior of asphalt concrete ... See full document

9

Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model

Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model

... Genetic Programming (GP) uses principle of genetic algorithms (GA) to evolve computer programs/ models of varying sizes based on Darwinian Theory of “Survival of the fittest” (Koza, ...tree ... See full document

32

Multi objective calibration of a distributed hydrological model (WetSpa) using a genetic algorithm

Multi objective calibration of a distributed hydrological model (WetSpa) using a genetic algorithm

... the model structure and a corresponding parameter set that are most representative of the catchment under investigation, while considering aspects such as mod- elling objectives and available data (Wagener ... See full document

13

Model for Predicting the Risk of Kidney Stone using Data Mining Techniques

Model for Predicting the Risk of Kidney Stone using Data Mining Techniques

... predictive model for the classification of the risk of kidney stones in Nigerian using data mining techniques based on historical information elicited about the risk of kidney stones among ...predictive ... See full document

21

Impact of model structure on flow simulation and hydrological realism: from a lumped to a semi distributed approach

Impact of model structure on flow simulation and hydrological realism: from a lumped to a semi distributed approach

... Abstract. Model intercomparison experiments are widely used to investigate and improve hydrological model per- ...of model structure on flow simulation and hydrological realism ... See full document

16

Wiener Model Identification using Genetic Programming

Wiener Model Identification using Genetic Programming

... The GP is an effective algorithm to generate model structures from input-output data. Based on the GP method, methods needn ’ t to assume that the order of linear part is known and the search space is ... See full document

5

Generation of a Model for Cutting Forces Using Artificial Intelligence

Generation of a Model for Cutting Forces Using Artificial Intelligence

... the model, a process description and the selection of optimum cutting parameters are very ...force model for the prediction and optimization of the milling process requires detailed research of the ... See full document

14

Assessing the hydrological effect of the check dams in the Loess Plateau, China, by model simulations

Assessing the hydrological effect of the check dams in the Loess Plateau, China, by model simulations

... simulation, it could be inferred that the model could obtain correct simulation results in 1980s and 2000s with certain pa- rameter sets. However, after altering the adjustment ranges of parameters and running ... See full document

9

A Model for Forming a Flexible Manufacturing System Using Genetic Algorithms

A Model for Forming a Flexible Manufacturing System Using Genetic Algorithms

... by testing all possibilities ...years genetic algorithms have proved to be appro- priate for solving such problems in different areas of ...properties, genetic al- gorithms have been used for forming ... See full document

13

Ensemble evaluation of hydrological model hypotheses

Ensemble evaluation of hydrological model hypotheses

... through model rejection and a novel diagnostic ...different hydrological behaviors which yield different model ...of model structures. As a model learning exercise, the study points to ... See full document

18

A Genetic Programming-based trust model for P2P Networks

A Genetic Programming-based trust model for P2P Networks

... this model all the peers save confidence data about their neighbors according to previous interactions [2, 5, ...peers using a DHT algorithm which enables them to effectively access information [1, 3, ... See full document

6

The Development of a Model for the Process and Structure of a Control System for an Induction Hardening Cell

The Development of a Model for the Process and Structure of a Control System for an Induction Hardening Cell

... For simulation programs, the operative data- base must be organized for the servicing of the pro- gram and storing of the results of the calculations. By organizing a database it is possible to classify a sys- tem of ... See full document

11

Design and Modeling of MEMS Based Nano Displacement PZT Sensing Element

Design and Modeling of MEMS Based Nano Displacement PZT Sensing Element

... Design and development of piezoelectric material sensors are posed to imply high temperature and high power applications. Barium Titanate and Lead Zirconate Titanate are widely used as the piezoelectric material. ... See full document

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