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Kriging Metamodel Based on Genetic Algorithms and Its Application in Analog IC Optimization

You Hailong, Jia Xinzhang and Wang Shaoxi

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Abstract: We present a method of constructing the Kriging metamodel of circuits and combining it with genetic algorithms (GA) to optimize a circuit and determine the parameters.Compared with the polynomial regression model,the Kriging model is more suitable to the circuit simulation experiments.Using GA,the problem of the circuit global optimization is solved based on the Kriging metamodel.The method is applied to the optimization design of the band-gap voltage reference,and the result shows that the presented method is effective.

Key words: analog ICKriging metamodel optimizationgenetic algorithms

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    Received: 18 August 2015 Revised: 26 October 2006 Online: Published: 01 August 2007

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      You Hailong, Jia Xinzhang, Wang Shaoxi. Kriging Metamodel Based on Genetic Algorithms and Its Application in Analog IC Optimization[J]. Journal of Semiconductors, 2007, In Press. You H L, Jia X Z, Wang S X. Kriging Metamodel Based on Genetic Algorithms and Its Application in Analog IC Optimization[J]. Chin. J. Semicond., 2007, 28(8): 1325.Export: BibTex EndNote
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      You Hailong, Jia Xinzhang, Wang Shaoxi. Kriging Metamodel Based on Genetic Algorithms and Its Application in Analog IC Optimization[J]. Journal of Semiconductors, 2007, In Press.

      You H L, Jia X Z, Wang S X. Kriging Metamodel Based on Genetic Algorithms and Its Application in Analog IC Optimization[J]. Chin. J. Semicond., 2007, 28(8): 1325.
      Export: BibTex EndNote

      Kriging Metamodel Based on Genetic Algorithms and Its Application in Analog IC Optimization

      • Received Date: 2015-08-18
      • Accepted Date: 2006-07-19
      • Revised Date: 2006-10-26
      • Published Date: 2007-08-08

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