Low diversity in a genetic algorithm (GA) can cause the search to become stagnant upon reaching a local optimum. To some extent, non-stationary tasks avoid this problem, which woul...
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...
Placement of protection devices in a conventional feeder (without distributed generation) is often performed so as to minimize traditional reliability indices (SAIDI, SAIFI, MAIFI...
Aleksandar Pregelj, Miroslav Begovic, Ajeet Rohatg...
This paper proposes a binary classification tree aiming at solving multi-class classification problems using binary classifiers. The tree design is achieved in a way that a class ...
Abstract. In this paper, we propose an approach for solving hierarchical multi-objective optimization problems (MOPs). In realistic MOPs, two main challenges have to be considered:...