Genetic programming approach for model structure determination of hydro turbine in closed loop operation

2007 ◽  
Author(s):  
Nand Kishor ◽  
Madhusudan Singh ◽  
A. S. Raghuvanshi
Keyword(s):  
Genetic Programming ◽  
Structure Determination ◽  
Closed Loop ◽  
Programming Approach ◽  
Model Structure ◽  
Hydro Turbine

scholarly journals Hybrid Symbolic Regression with the Bison Seeker Algorithm

MENDEL ◽  
2019 ◽  
Vol 25 (1) ◽  
pp. 79-86 ◽  
Author(s):  
Jan Merta
Keyword(s):  
Genetic Programming ◽  
Symbolic Regression ◽  
Supervised Machine Learning ◽  
Local Algorithm ◽  
Programming Approach ◽  
Model Parameters ◽  
Model Structure ◽  
Study Support ◽  
The Given ◽  
Basic Version

This paper focuses on the use of the Bison Seeker Algorithm (BSA) in a hybrid genetic programming approach for the supervised machine learning method called symbolic regression. While the basic version of symbolic regression optimizes both the model structure and its parameters, the hybrid version can use genetic programming to find the model structure. Consequently, local learning is used to tune model parameters. Such tuning of parameters represents the lifetime adaptation of individuals. This paper aims to compare the basic version of symbolic regression and hybrid version with the lifetime adaptation of individuals via the Bison Seeker Algorithm. Author also investigates the influence of the Bison Seeker Algorithm on the rate of evolution in the search for function, which fits the given input-output data. The results of the current study support the fact that the local algorithm accelerates evolution, even with a few iterations of a Bison Seeker Algorithm with small populations.

Genetic Programming Approach for Flow of Steady State Fluid Between Two Eccentric Spheres

2007 ◽  
Vol 17 (6) ◽  
pp. 68210-1-68210-5
Author(s):  
Mostafa Y. El-Bakry ◽  
Amr Radi
Keyword(s):  
Experimental Data ◽  
Steady State ◽  
Angular Velocity ◽  
Genetic Programming ◽  
Viscoelastic Fluid ◽  
Programming Approach ◽  
Good Match ◽  
Sphere Model ◽  
Input Variables

Abstract Genetic Programming (GP) is used to estimate the functions that describe the torque and the force acting on the external sphere due to steady state motion of viscoelastic fluid between two eccentric spheres. The GP has been running based on experimental data of the torque at different eccentricities to produce torque for each target eccentricity. The angular velocity of the inner sphere and the eccentricity of the two spheres have been used as input variables to find the discovered functions. The experimental, calculated and predicted torque and forces are compared. The discovered function shows a good match to the experimental data. We find that the GP technique is a good new mechanism of determination of the force and torque of fluid in eccentric sphere model.

Interpreting Open- and Closed-Loop Transfer Relations Between Cardiorespiratory Parameters: Lessons Learned from a Computer Model of Beat-to-Beat Cardiovascular Regulation

1997 ◽  
Vol 36 (04/05) ◽  
pp. 237-240
Author(s):  
P. Hammer ◽  
D. Litvack ◽  
J. P. Saul
Keyword(s):  
Computer Model ◽  
Closed Loop ◽  
Computer Models ◽  
Cardiovascular Regulation ◽  
Cardiovascular Control ◽  
Lessons Learned ◽  
Multiple Systems ◽  
Response Characteristics ◽  
Similarities And Differences

Abstract:A computer model of cardiovascular control has been developed based on the response characteristics of cardiovascular control components derived from experiments in animals and humans. Results from the model were compared to those obtained experimentally in humans, and the similarities and differences were used to identify both the strengths and inadequacies of the concepts used to form the model. Findings were confirmatory of some concepts but contrary to some which are firmly held in the literature, indicating that understanding the complexity of cardiovascular control probably requires a combination of experiments and computer models which integrate multiple systems and allow for determination of sufficiency and necessity.

Ab initio structure determination of cytochrome c6 by combined reciprocal space-real space approach

2003 ◽  
Vol 218 (1) ◽  
Author(s):  
K. Chowdhury ◽  
S. Ghosh ◽  
M. Mukherjee
Keyword(s):  
Cytochrome C ◽  
Ab Initio ◽  
Structure Determination ◽  
Direct Method ◽  
Real Space ◽  
Reciprocal Space ◽  
Cytochrome C6 ◽  
Ab Initio Structure ◽  
Space Approach

AbstractThe direct method program SAYTAN has been applied successfully to redetermine the structure of cytochrome c

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