The performance of Artificial Neural Networks is largely influenced by the value of their parameters. Among these free parameters, one can mention those related with the network a...
In the paper we propose a new evolutionary algorithm for induction of univariate regression trees that associate leaves with simple linear regression models. In contrast to typical...
This paper considers an optimization method of programmable logic arrays (PLAs), which have two-input EXOR gate at the outputs. The PLA realizes an EXOR of two sum-of-products exp...
Memetic algorithms with continuous local search methods have arisen as effective tools to address the difficulty of obtaining reliable solutions of high precision for complex cont...
This paper proposes a novel methodology tailored to design embedded systems, taking into account the emerging market needs, such as hw/sw partitioning, object-oriented specificati...
William Fornaciari, P. Micheli, Fabio Salice, L. Z...