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GECCO
2004
Springer
117views Optimization» more  GECCO 2004»
15 years 11 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»
15 years 6 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
15 years 5 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
16 years 8 days 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»
15 years 9 months 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