Hi, I need to calibrate a model, and I've been trying the NSGA2 algo along with the SteadyStateEvolution function. It seems to be working fine, however genetic algorithms are completely new to me and I'm not sure I fully understand all that's happening. In particular, the "parallelism" parameter in SteadyStateEvolution is very obscure to me, and I get weird results when I try different values. I'm also not sure about what's in the result files generated by the SavePopulationHook function (best results? but then why is my entire population in it for the last few generations?).
I haven't found detailed documentation on these functions on the openmole website (besides the "GA with NetLogo Tutorial") or on the internet, so if anyone could point me to it if it exists, or is willing to explain this to me it would be great! Thanks in advance, Hélène -- 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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