Università di Torino
Evolutionary Computation Group
The Evolutionary Computation group at the Dipartimento di Informatica of the University of Torino is part of a larger research group on Machine Learning
Research themes includes Genetic Algorithms and Neural Network.
The Evolutionary Computation group is under direction of:
The system REGAL, able to learn first-order logic concept descriptions using a parallel genetic search, has been designed and implemented. A new selection operator has been proposed and a theoretical analysis of its behaviour has been performed.
On the neural network site, the focus of attention is about locally receptive fields networks (Radial Basis Functions and Fuzzy Logic Controllers), in particular about how symbolic knowledge, generated with classical ML approaches, can be used to initialize a network, and how a network can be refined by means of Reinforcement Learning.
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