"Deterministic Multi-Objective Fractal Decomposition Algorithm"
Léo Souquet, Amir Nakib and El Ghazali Talbi

This paper presents a new deterministic multiobjective optimization called "Multiobjective Fractal Decomposition Algorithm" (Mo-FDA). The original FDA was designed for mono-objective large-scale continuous optimization problems. It is based on a "divide-and-conquer" strategy and a geometric fractal decomposition of the search space using hyperspheres. In our work, a scalarization approach is used to deal with MO problems. The performance of Mo-FDA was compared to state of the art algorithms from the literature on classical benchmark of multi-objective optimization.