Abstract

The aim of this paper is to present an experimental evaluation of a parallel genetic algorithm using MPI. The performance of the algorithm is verified by computational experiments on a real world data set, ran in a cluster of workstations. MPI seems to be appropriate for these kind of experiments as the results are reliable and efficient.

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