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
