Abstract. Evolvable Hardware (EHW) is a scheme - inspired by natural evolution, for automatic design of hardware systems. By exploring a large design search space, EHW may find so...
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
For noisy optimization problems, there is generally a trade-off between the effort spent to reduce the noise (in order to allow the optimization algorithm to run properly), and t...
We have proposed an automated debugging technique that explains a failure by computing its causal path leading from the root cause to the failure. Given a failing execution, the te...
The hybridization of heuristics methods aims at exploring the synergies among stand alone heuristics in order to achieve better results for the optimization problem under study. In...
Fatos Xhafa, Juan Antonio Gonzalez, Keshav P. Daha...