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IJON
2006
131views more  IJON 2006»
13 years 7 months ago
Optimizing blind source separation with guided genetic algorithms
This paper proposes a novel method for blindly separating unobservable independent component (IC) signals based on the use of a genetic algorithm. It is intended for its applicati...
J. M. Górriz, Carlos García Puntonet...
INFORMATICALT
2006
108views more  INFORMATICALT 2006»
13 years 7 months ago
Experiments with Hybrid Genetic Algorithm for the Grey Pattern Problem
Recently, genetic algorithms (GAs) and their hybrids have achieved great success in solving difficult combinatorial optimization problems. In this paper, the issues related to the ...
Alfonsas Misevicius
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
14 years 1 months ago
Analysis of noisy time-series signals with GA involving viral infection with tropism
In this paper we report on a study in which genetic algorithms are applied to the analysis of noisy time-series signals, which is related to the problem of analyzing the motion ch...
Yuji Sato, Yuta Yasuda, Ryuji Goto
GECCO
2004
Springer
14 years 1 months ago
Designing Multiplicative General Parameter Filters Using Adaptive Genetic Algorithms
Multiplicative general parameter (MGP) approach to finite impulse response (FIR) filtering introduces a novel way to realize cost effective adaptive filters in compact very large s...
Jarno Martikainen, Seppo J. Ovaska
AEI
1999
120views more  AEI 1999»
13 years 7 months ago
Genetic algorithms for designing multihop lightwave network topologies
Multihop lightwave networks are a means of utilizing the large bandwidth of optical fibers. In these networks, each node has a fixed number of transmitters and receivers connected...
Cenk Gazen, Cem Ersoy