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GECCO
2004
Springer
117views Optimization» more  GECCO 2004»
14 years 2 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
AIEDAM
2008
127views more  AIEDAM 2008»
13 years 9 months ago
Evolving blackbox quantum algorithms using genetic programming
Although it is known that quantum computers can solve certain computational problems exponentially faster than classical computers, only a small number of quantum algorithms have ...
Ralf Stadelhofer, Wolfgang Banzhaf, Dieter Suter
ALIFE
1999
13 years 8 months ago
An Approach to Biological Computation: Unicellular Core-Memory Creatures Evolved Using Genetic Algorithms
A novel machine language genetic programming system that uses one-dimensional core memories is proposed and simulated. The core is compared to a biochemical reaction space, and in ...
Hikeaki Suzuki
CISIS
2008
IEEE
14 years 3 months ago
Evolving Turbo Code Interleavers by Genetic Algorithms
Since the appearance in 1993, first approaching the Shannon limit, the Turbo Codes gave a new direction for the channel encoding field, especially since they were adopted for mult...
Ajith Abraham, Pavel Krömer, Václav Sn...
EUROGP
2006
Springer
138views Optimization» more  EUROGP 2006»
14 years 22 days ago
Evolving Crossover Operators for Function Optimization
Abstract. A new model for evolving crossover operators for evolutionary function optimization is proposed in this paper. The model is a hybrid technique that combines a Genetic Pro...
Laura Diosan, Mihai Oltean