Making Genetic Algorithms (GAs) distributed in an on-demand fashion involves different phases from resources allocation to actual deployment and execution. We propose a cloud architecture with a conceptual workflow able to cover each GAs distribution phase.
Develop, deploy and execute parallel genetic algorithms in the cloud
SALZA, PASQUALE;FERRUCCI, Filomena;
2016-01-01
Abstract
Making Genetic Algorithms (GAs) distributed in an on-demand fashion involves different phases from resources allocation to actual deployment and execution. We propose a cloud architecture with a conceptual workflow able to cover each GAs distribution phase.File in questo prodotto:
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