Abstract
We present Hierarchical Genetic Strategy (HGS) as a family of Markov chains applying Vose's mathematical model for Simple Genetic Algorithm. Studying its asymptotic properties and performing simply experiments we try to compare efficiency of HGS and sequential genetic algorithms.
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