Comparison of methods for using reduced models to speed up design optimization
作者： Swaroop Vattam , xiao Ni , Khaled Rasheed
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摘要: In this paper we compare two methods for forming reduced models to speed up genetic-algorithm-based optimization. The work by functional approximations of the fitness function which are used GA One method speeds optimization making genetic operators more informed. other genetically engineering some individuals instead using regular Darwinian evolution approach. Empirical results in several design domains presented.
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