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GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
13 years 10 months ago
A Descriptive Encoding Language for Evolving Modular Neural Networks
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
Jae-Yoon Jung, James A. Reggia
GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
13 years 8 months ago
Efficiently evolving programs through the search for novelty
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
Joel Lehman, Kenneth O. Stanley
CISS
2008
IEEE
13 years 11 months ago
A genetic algorithm for designing constellations with low error floors
—The error floor of bit-interleaved coded modulation with iterative decoding (BICM-ID) can be minimized for a particular constellation by maximizing the harmonic mean of the squ...
Matthew C. Valenti, Raghu Doppalapudi, Don J. Torr...
SGAI
2010
Springer
13 years 3 months ago
Evolving Temporal Association Rules with Genetic Algorithms
A novel framework for mining temporal association rules by discovering itemsets with a genetic algorithm is introduced. Metaheuristics have been applied to association rule mining,...
Stephen G. Matthews, Mario A. Góngora, Adri...
GECCO
2004
Springer
117views Optimization» more  GECCO 2004»
13 years 10 months ago
Evolving Wavelets Using a Coevolutionary Genetic Algorithm and Lifting
Finding a good wavelet for a particular application and type of input data is a difficult problem. Traditional methods of wavelet deus on abstract properties of the wavelet that ca...
Uli Grasemann, Risto Miikkulainen