Dynamic Demes Parallel Genetic Algorithm
(1999)Abstract
Dynamic Demes is a new method for the parallelisation
of evolutionary algorithms. It was derived as a
combination of two other parallelisation algorithms:
the master-slave distributed fitness evaluation model
and the static subpopulation model. In this paper we
present the algorithm, perform a theoretical analysis
of its performance and present experimental results
where we compared Dynamic Demes with other
algorithms.
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