Shape Optimization of Cooling Channels Using Genetic Algorithms

Abstract
A shape optimization method for convective cooling channels within a two-dimensional heat conduction region is presented. This method combines genetic algorithms with a point heat sink approach that is used to model the heat removal of the cooling channels during the optimization process. The method can be easily combined with the Finite Element Method (FEM) for the calculation of the optimized temperature field distribution.