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L’électrification intelligente au service de la transition énergétique

Smart electrification towards energy transition

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GOT Software

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)
  • Distributed Computations (control flow, Procor, Matlab)
  • Program mode or interactive


Date of update September 20, 2019

Université Grenoble Alpes