Fernando Jiménez

Simultaneous Multi-Objective Evolutionary Optimization of Heterogeneous Ensembles, Learner-Specific Feature Subsets, and Aggregation Weights

This paper introduces an integrated multi-objective evolutionary framework for synthesis of heterogeneous regression ensembles featuring localized, learner-specific feature selection. Rather than enforcing global feature spaces, the proposed paradigm simultaneously optimizes base estimator activation patterns, customiz...