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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Multi-objective Optimization Algorithms for Microchannel Heat Sink Design
verfasst von : Ahmed Mohammed Adham, Normah Mohd-Ghazali, Robiah Ahmad
Erschienen in: Contemporary Challenges and Solutions in Applied Artificial Intelligence
Verlag: Springer International Publishing
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This paper investigates the performance of four multi-objective optimization algorithms namely the GAM, MOGA, SPEA2 and NSGA-II on the optimization of a microchannel heat sink based on the total thermal resistance and pumping power. Two case studies with different formulation methodologies were selected for the optimizations. The optimizations results showed that both SPEA2 and NSGA-II algorithms exhibited excellent performance in terms of the number of the optimal solutions, maintaining the desirable diversity and convergence speed toward the Pareto optimal front as compared to GAM and MOGA.