Application of Genetic Algorithms in Nonlinear Heat Conduction Problems
Joint Authors
Kadri, Muhammad Bilal
Khan, Waqar Ahmed
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-17
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Genetic algorithms are employed to optimize dimensionless temperature in nonlinear heat conduction problems.
Three common geometries are selected for the analysis and the concept of minimum entropy generation is used to determine the optimum temperatures under the same constraints.
The thermal conductivity is assumed to vary linearly with temperature while internal heat generation is assumed to be uniform.
The dimensionless governing equations are obtained for each selected geometry and the dimensionless temperature distributions are obtained using MATLAB.
It is observed that GA gives the minimum dimensionless temperature in each selected geometry.
American Psychological Association (APA)
Kadri, Muhammad Bilal& Khan, Waqar Ahmed. 2014. Application of Genetic Algorithms in Nonlinear Heat Conduction Problems. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1049657
Modern Language Association (MLA)
Kadri, Muhammad Bilal& Khan, Waqar Ahmed. Application of Genetic Algorithms in Nonlinear Heat Conduction Problems. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1049657
American Medical Association (AMA)
Kadri, Muhammad Bilal& Khan, Waqar Ahmed. Application of Genetic Algorithms in Nonlinear Heat Conduction Problems. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1049657
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049657