EVENTO
Hybridization of Metaheuristics with Data Mining Techniques
Tipo de evento: Seminário LNCC
Recent research has shown that the hybridization of metaheuristics is a powerful mechanism to develop more robust and efficient methods to solve hard optimization problems. The combination of different techniques and concepts behind metaheuristics, if well designed, has the potential to exploit their advantages while diminishing their drawbacks, which results in methods suited to a more diverse set of real problems. The DM-GRASP heuristic is one such hybrid method that has achieved promising results. It is a hybrid version of the GRASP metaheuristic which incorporates a data mining process. Data mining refers to the automatic recognition and extraction of knowledge from datasets in terms of patterns and rules. The basic idea of the proposed hybridization is that patterns mined from good quality solutions could be used to guide the search, leading to a more effective exploration of the solution space. In this seminar, we will review how this hybridization was designed and survey the results of its practical applications evaluated until now.
Data Início: 09/05/2011 Hora: 14:00 Data Fim: Hora: 15:30
Local: LNCC - Laboratório Nacional de Computação Ciêntifica - Auditorio B
Comitê Organizador: Alexandre Plastino - UFF - UFF - plastino@dcc.ic.uff.br
