Abstract:
The aim of this study is to demonstrating the practical multiobjective optimization of plate-fin heat sinks and the superiority of using a combined response surface method and multiobjective evolutionary optimizer over solely using the evolutionary optimizer. The design problem is posed to find heat sink shapes which minimize the junction temperature and fan pumping power while meeting predefined constraints. Design constraints are given in such a way that the maximum and minimum fin heights are properly limited. The MPSO evolutionary algorithm and two multiobjective evolutionary optimization strategies with and without the use of a response surface technique are implemented to explore the Pareto optimal front. The optimum results can be said that, the multiobjective optimizer in association with the response surface technique totally outperforms the other.