Abstract
It had been discovered that the same self-adaptation used in fast evolutionary programming (FEP) and classical evolutionary programming (CEP) had shown quite different behaviors on optimizing the same test functions from the same initial populations. The experimental results presented in this paper suggest that the strategy parameters in FEP generally could not rise as high as their values in CEP in the rising stage, but dropped faster than their values in CEP in the falling stage. Such different behaviors were led by the strong correlation existing between mutations and self-adaptation in CEP and FEP.
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