Evolutionary algorithms provide flexibility and robustness required to find satisfactory solutions in complex search spaces. This is why they are successfully applied for solvin...
Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Die...
The growing success of wireless ad hoc networks and portable hardware devices presents many interesting problems to software engineers. Particular, coordination is a challenging t...
Marco Tulio de Oliveira Valente, Fernando Magno Qu...
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
In grid computing systems, providing fault-tolerance is required for both scientific computation and file-sharing to increase their reliability. In previous works, several mechani...
Sangho Yi, Derrick Kondo, Bongjae Kim, Geunyoung P...