Multi-objective evolutionary optimization for generating ensembles of classifiers in the ROC space

Julien-Charles Levesque, Audrey Durand, Christian Gagne, Robert Sabourin
2012 Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference - GECCO '12  
In this paper, we propose a novel approach for the multiobjective optimization of classifier ensembles in the ROC space. We first evolve a pool of simple classifiers with NSGA-II using values of the ROC curves as the optimization objectives. These simple classifiers are then combined at the decision level using the Iterative Boolean Combination method (IBC). This method produces multiple ensembles of classifiers optimized for various operating conditions. We perform a rigorous series of
more » ... nts to demonstrate the properties and behaviour of this approach. This allows us to propose interesting venues for future research on optimizing ensembles of classifiers using multi-objective evolutionary algorithms.
doi:10.1145/2330163.2330285 dblp:conf/gecco/LevesqueDGS12 fatcat:apcuvybdzbe5pmbai5th4x7dki