Punctuated equilibria: a parallel genetic algorithm
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In this paper we present a systematic experimental study of some of the parameters influencing parallel and distributed genetic programming (PADGP) by using three benchmark problems. We first present results on the system's communication topology and then we study the parameters governing individual migration between subpopulations: the number of individuals sent and the frequency of exchange. Our results suggest that fitness evolution is more sensitive to the migration factor than the communication topology.