In this paper we present two new approaches based on genetic algorithms (GA) to reduce power consumption by communication buses in an embedded system. The first approach makes it ...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi,...
Evolutionary and genetic algorithms (EAs and GAs) are quite successful randomized function optimizers. This success is mainly based on the interaction of different operators like ...
Reconfigurable chips are integrated circuits whose internal connections can be programmed by the user to attend a specific application. Field Programmable Gate Arrays (FPGAs) and ...
Ricardo Salem Zebulum, Cristina Costa Santini, Hel...
In Sign Language recognition, one of the problems is to collect enough training data. Almost all of the statistical methods used in Sign Language Recognition suffer from this prob...
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...