Introduction to methods of optimisation, modelling and control.

Programme based on 12 sessions of 3 hours, including:
a theoretical part (addressed in all the sessions),
a practical part, with the purpose of carrying out a mini-project and/or practical work.
Topics:
Planning of experiments.
Modelling (neural networks, Lolimot, kriging).
Classic optimisation without constraints (Fletcher-Reeves, BFGS etc.).
Classic optimisation with constraints (method of possible directions, KKT conditions).
Combinatorial optimisation (simulated annealing, genetic algorithms).
Multi-objective optimisation.
Robust optimisation.
Automation and control.

Last Modification : Thursday 1 December 2011