An Experimental Evaluation of a Parallel Genetic Algorithm Using MPI
Elias Hadjikyriacou, Nikolaos Samaras, Konstantinos G. Margaritis · 2009
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.