Spolaor, N.,  Lorena, A.C.,  Lee, H.D.. 

The intelligent analysis of Databases may be affected by the presence of unimportant features, which motivates the application of Feature Selection. By treating this task as a search and optimization process, it is possible to use the synergy between Genetic Algorithms and Multi-objective Optimization to carry out the search for (quasi) optimal subsets of features considering possible conflicting importance criteria. This work presents an application of Multi-objective Genetic Algorithms to the Feature Selection problem, combining different criteria measuring the importance of the subsets of features.

http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5715228

Processando consulta.