Application of genetic algorithms in nonlinear heat conduction problems.
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.
Department of Electronics and Power Engineering, PN Engineering College, National University of Sciences and Technology, PNS Jauhar, Karachi 75350, Pakistan.
Muhammad Bilal
0000-0002-5485-3792
MB
Kadri
Department of Engineering Sciences, PN Engineering College, National University of Sciences and Technology, PNS Jauhar, Karachi 75350, Pakistan.
Waqar A
WA
Khan
D000465:Algorithms; D003198:Computer Simulation / Q000639:trends; D019143:Evolution, Molecular; D006358:Hot Temperature; D013814:Thermal Conductivity