We capitalize our experiences and expertise in the software GOT that is particularly well suited for optimization simulations. Here are the main features:
Parameters continuous or discrete (or combinations)
Single or multi objective functions
Problems with or without constraints
Design of Experiments
Surface of responses (polynomial, RBF, kriging, Space Mapping)
Analytical and numerical objective functions and constraints (or combinations)
Direct or indirect optimization with response surfaces technics
Deterministic algorithms (CG, BFGS) or stochastic (GA Niching, PSO)
Post processing (curves, surfaces, Pareto frontier, sensitivity)
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