A modified genetic algorithm for solving the inverse heat transfer problem of estimating plan heat source

Predicting multiple combination of parameters for designing a porous fin subjected to a given temperature requirement

“…They have also used the CGM-based optimization. Liu [16] estimated the heat source in an inverse heat conduction problem using the genetic algorithm (GA). Using the CGM, Lee et al [17] predicted the unknown heat flux at the base of a pin fin from temperature measurements.…”

The method of simplified Tikhonov regularization for dealing with the inverse time-dependent heat source problem

“…As we know, there has been lots of research on identification of heat source adopting numerical algorithms [9][10][11][12][13][14][15][16]. But to the author's knowledge there are few papers, using the regularization method, with strict theoretical analysis, on identifying the heat source.…”

Retrieval of thermal properties in a transient conduction–radiation problem with variable thermal conductivity

“…Chiang and Chen [11] applied grey prediction to estimate thermal conductivity in heat conduction problem. Liu [12] estimated the heat source in a conduction problem using genetic algorithm (GA).…”

“…A set of two parameters such as the extinction coefficient along and the conduction-radiation parameter, the extinction coefficient and the scattering albedo, and the conduction-radiation parameter and the scattering albedo are simultaneously estimated by minimizing the objective function. The GA [6,[10][11][12]23] is an efficient optimization tool, therefore, in the present work, the same is used for the minimization of the objective function.…”