Using Datamining Techniques to Help Metaheuristics: A Short Survey

Laetitia Jourdan (1) , Clarisse Dhaenens (1, 2) , El-Ghazali Talbi (1)

1 DOLPHIN - Parallel Cooperative Multi-criteria Optimization
2 LIFL - Laboratoire d'Informatique Fondamentale de Lille

Hybridizing metaheuristic approaches becomes a common way to improve the efficiency of optimization methods. Many hybridizations deal with the combination of several optimization methods. In this paper we are interested in another type of hybridization, where datamining approaches are combined within an optimization process. Hence, we propose to study the interest of combining metaheuristics and datamining through a short survey that enumerates the different opportunities of such combinations based on literature examples.

Domaines: Combinatoire [math.CO]

Laetitia Jourdan, Clarisse Dhaenens, El-Ghazali Talbi. Using Datamining Techniques to Help Metaheuristics: A Short Survey. Hybrid Metaheuristics, 2006, Gan Canarian, France. pp.57--69. ⟨inria-00269969⟩