Parameter estimation in mathematical models using the real coded genetic algorithms

2009 ◽  
Vol 36 (2) ◽  
pp. 3342-3345 ◽  
Author(s):  
Nedim Tutkun
Keyword(s):  
Genetic Algorithms ◽  
Parameter Estimation ◽  
Mathematical Models ◽  
The Real ◽  
Real Coded Genetic Algorithms

Using real-coded genetic algorithms for Weibull parameter estimation

1995 ◽  
Vol 29 (1-4) ◽  
pp. 377-381 ◽  
Author(s):  
G.M. Thomas ◽  
R. Gerth ◽  
T. Velasco ◽  
L.C. Rabelo
Keyword(s):  
Genetic Algorithms ◽  
Parameter Estimation ◽  
Weibull Parameter ◽  
Real Coded Genetic Algorithms

scholarly journals A Tool for the Analysis and Characterization of School Mathematical Models

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1569
Author(s):  
Jesús Montejo-Gámez ◽  
Elvira Fernández-Ahumada ◽  
Natividad Adamuz-Povedano
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Models ◽  
Educational Research ◽  
Analysis Procedure ◽  
Real System ◽  
The Real ◽  
School Model ◽  
Corresponding Analysis ◽  
Three Components

This paper shows a tool for the analysis of written productions that allows for the characterization of the mathematical models that students develop when solving modeling tasks. For this purpose, different conceptualizations of mathematical models in education are discussed, paying special attention to the evidence that characterizes a school model. The discussion leads to the consideration of three components, which constitute the main categories of the proposed tool: the real system to be modeled, its mathematization and the representations used to express both. These categories and the corresponding analysis procedure are explained and illustrated through two working examples, which expose the value of the tool in establishing the foci of analysis when investigating school models, and thus, suggest modeling skills. The connection of this tool with other approaches to educational research on mathematical modeling is also discussed.

Automating the parameterization of mathematical models using genetic algorithms

1994 ◽  
Vol 11 (2-3) ◽  
pp. 265-290 ◽  
Author(s):  
Ronaldo Antonio Sequeira ◽  
Richard L. Olson ◽  
Jeffrey L. Willers ◽  
J.M. McKinion
Keyword(s):  
Genetic Algorithms ◽  
Mathematical Models

Call for Manuscripts for the 2015 Focus Issue: Mathematical Modeling

2013 ◽  
Vol 18 (9) ◽  
pp. 571
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Models ◽  
Real World ◽  
The Real

This call for manuscripts is requesting articles that address how to use mathematical models to analyze, predict, and resolve issues arising in the real world.

Robust confidence intervals applied to crossover operator for real-coded genetic algorithms

2007 ◽  
Vol 12 (8) ◽  
pp. 809-833 ◽  
Author(s):  
Domingo Ortiz-Boyer ◽  
César Hervás-Martínez ◽  
Nicolás García-Pedrajas
Keyword(s):  
Genetic Algorithms ◽  
Confidence Intervals ◽  
Crossover Operator ◽  
Real Coded Genetic Algorithms
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