Limiting distribution and mixing time for genetic algorithms
نویسندگان
چکیده
We use methods from Markov chain theory to analyze the performance of some simple GA models on a class of deceptive objective functions. We consider the invariant distribution, the average expected hitting time, the mixing rate, and limits of these quantities as the objective function becomes more and more highly skewed.
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