Computational Intelligence and Machine Learning
Computational intelligence embodies a wide range of techniques, from those that are inspired from physical, chemical, social and biological systems. In this theme we investigate in computational environments natural intelligent systems at different levels, ranging from populations and societies, to nervous systems and brains, and to genes, proteins and metabolites.
Topics include:
- Meta-modeling in evolution in dynamic environments, multi-objective optimization,
- Multi-objective evolutionary learning,
- Semi-supervised learning, graph-based learning, and activelearning.