Filter-based optimization techniques for selection of feature subsets in ensemble systems
We analyzed optimized techniques for feature selection in ensemble systems. We used particle swarm optimization, ant-colony optimization and genetic algorithms. The feature selection process was based on two filter-based evaluation criteria. The evaluation criteria tried to capture the idea of individual and group diversity. The use of PSO with a bi-objective function will be the most promising direction.
ensemble systems feature selection particle swarm optimization genetic algorithms ant colony optimization