• Nonlinear optimization
  • Global optimization
  • Multiobjective optimization
  • Constraint programming
  • Interval analysis

Research interest

Since my master and PhD thesis, I have been interested in the development of methods for solving numerical nonlinear optimization problems, and in particular in a multiobjective context. The different approaches I am interested in range from local search in black box optimization context to global Branch & Bound methods. The use of numerical constraint programming techniques and interval analysis is in general useful in this latter context.

I am also interested in particular applications of guaranteed numerical optimization methods for complex problems appearing in non-linear system verification.