Thanks Romain, it answers my question but creates a lot more since it's not working the way I thought it was...! But I think I'm gonna read up about the steady state version of GA before asking everything here.
Just one question: is it possible to use the generational version of GA in openmole? I tried to use nsga2 with a termination parameter but it didn't work. Hélène 2017-06-01 15:15 GMT+02:00 Romain Reuillon <[email protected]>: > Hi Helene, > > > Le 01/06/2017 à 14:50, Hélène Arduin a écrit : > > Hi, > > Thank you Alberto for the explanation! > > Anyone on the parallelism parameter? I don't understand if the parallel > generations are drawn simultaneously, computed and then regrouped before > moving to the next ones, or if they are completely independent, or > something else? > > > the genetic algorithm are implement in there steady state version (as > opposed to generational). It means that you'll have a pool of n concurent > evaluations (running on different nodes). A soon a an evaluation is > terminated the result is merged to the global population and an new > evaluation (or job) is created. > > Does it answer your question? > > Romain > > > Hélène > > > _______________________________________________ > OpenMOLE-users mailing > [email protected]http://fedex.iscpif.fr/mailman/listinfo/openmole-users > > > -- Hélène Arduin PhD student Biostatistics, Biomathematics, Pharmaco-Epidemiology and Infectious Diseases Inserm UMR1181 / Université Versailles Saint-Quentin en Yvelines / Institut Pasteur 25 rue du Docteur Roux 75724 Paris Cedex 15, France Tél : +33 (0)1 44 38 91 38 http://b2phi.inserm.fr https://research.pasteur.fr/en/team/pharmacoepidemiology-and-infectious-diseases <https://research.pasteur.fr/en/team/pharmacopepidemiology-and-infectious-diseases>
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