@@ -32,7 +32,7 @@ Note: if you are asked for a password for "gitlab.openmole.org" when pushing you

-[R hello world](R-hello): an example of how to embed R code in OpenMole. This workflow executes an R program with 100 different inputs, makes a computation, and saves to a file.

-[Random Forest classifier](randomforest): This workflow explores the parameters of a random forest image classifier written in Python using scikit-learn.

-[SimPopLocal model](simpoplocal): a geographical model calibrated using genetic algorithms.

-[Sensitivity-Screening analysis](sensitivity/morris): a method to quickly analyze which inputs are influential on large spaces of parameters.

-[Global Sensitivity Analysis](sensitivity/saltelli): a variance based sensitivity analysis of model output.

-[Sensitivity-Screening analysis](sensitivity/morris): a method to quickly analyze which inputs are influential on large spaces of parameters.

-[Global Sensitivity Analysis](sensitivity/saltelli): a variance based sensitivity analysis of model output

-[Test Functions for NSGA2](nsga2-test-functions): reference functions to double check the correctedness of the NSGA2 algorithm, and also view examples of usage of NSGA2