D. Słota (Poland)
Genetic algorithms, Inverse Stefan problem, Solidification.
This paper presents the influence of a tournament selec tion, proportional selection and proportional selection sup plemented with linear scaling or sigma truncation scaling on the accuracy of a solution of a two-phase design inverse Stefan problem using genetic algorithms. In the problem to be solved, the coefficient of convective heat transfer on one boundary had to be so selected that the moving inter face of the phase change (freezing front) would take the given position. The solution consists in minimization of the functional whose value is the norm of the difference between the given interface position and the position re constructed for the selected convective heat-transfer coeffi cient. For the minimization of the functional genetic algo rithms were used, whereas the Stefan problem was solved by an alternating phase truncation method.
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