MOOMIE article submitted to Engineering Optimisation journal : Efficient multi-objective optimization methodology for industrial engineering models with uncertain parameters

For each problem (mechanical or modified B&amp;K) we have one folder per MOO problem solution. Inside, 4 files exist : 1. hist_opt_obj1.txt - history of all results calculated during DOE and each mono-objective optimization (used to create the approximation model for the first NSGA-II opptimization) 2.opt_f2-f2_limits.txt - extremums of the Pareto front (results of the mono-objective optimization for each PF) 3.pareto_meta1 - temprorary output in Abq Insight from first optimisation on approximation RBF model, used in Abauqs Insight as an input for final NSGA-II 4.pareto_out_final - output from Abaqus Insight NSGA-II final solver (file used for parametrisation and Cij identification). <br>