When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
This paper proposes a revised semantic interpretation of UML Statechart Diagrams which ensures, under the specified design rules, that Statecharts may be constructed to have true ...
Dynamic power management schemes (also called policies) can be used to control the power consumption levels of electronic systems, by setting their components in different states,...
Giuseppe A. Paleologo, Luca Benini, Alessandro Bog...
— This paper presents a new approximate policy iteration algorithm based on support vector regression (SVR). It provides an overview of commonly used cost approximation architect...