Comparative Performance of Surrogate-Assisted MOEAs for Geometrical Design of Pin-Fin Heat Sinks
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منابع مشابه
Comparative Performance of Surrogate-Assisted MOEAs for Geometrical Design of Pin-Fin Heat Sinks
This paper presents the comparative performance of several surrogate-assisted multiobjective evolutionary algorithms MOEAs for geometrical design of a pin-fin heat sink PFHS . The surrogate-assisted MOEAs are achieved by integrating multiobjective population-based incremental learning PBIL with a quadratic response surface model QRS , a radial-basis function RBF interpolation technique, and a K...
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Article history: Received 25 May 2015 Received in revised form 27 June 2015 Accepted 2 July 2015 Available online xxxx
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ژورنال
عنوان ژورنال: Journal of Applied Mathematics
سال: 2012
ISSN: 1110-757X,1687-0042
DOI: 10.1155/2012/534783