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CEC
2003
IEEE
15 years 11 months ago
An evolutionary approach for reducing the switching activity in address buses
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,...
GECCO
2003
Springer
109views Optimization» more  GECCO 2003»
15 years 11 months ago
Real Royal Road Functions for Constant Population Size
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 ...
Tobias Storch, Ingo Wegener
EH
2000
IEEE
183views Hardware» more  EH 2000»
15 years 10 months ago
A Reconfigurable Platform for the Automatic Synthesis of Analog Circuits
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...
FGR
2006
IEEE
134views Biometrics» more  FGR 2006»
15 years 10 months ago
Expanding Training Set for Chinese Sign Language Recognition
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...
Chunli Wang, Xilin Chen, Wen Gao
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 10 months ago
Local search for multiobjective function optimization: pareto descent method
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...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi