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EUROGP
2006
Springer
138views Optimization» more  EUROGP 2006»
13 years 11 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
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
14 years 28 days ago
Search space modulation in genetic algorithms: evolving the search space by sinusoidal transformations
An experimental form of Modulation (Reinterpretation) of the Search Space is presented. This modulation is developed as a mathematical method that can be implemented directly into...
José Antonio Martin H.
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
14 years 1 months ago
Solving real-valued optimisation problems using cartesian genetic programming
Classical Evolutionary Programming (CEP) and Fast Evolutionary Programming (FEP) have been applied to realvalued function optimisation. Both of these techniques directly evolve th...
James Alfred Walker, Julian Francis Miller
ISCI
1998
193views more  ISCI 1998»
13 years 7 months ago
A Parallel Implementation of Genetic Programming that Achieves Super-Linear Performance
: This paper describes the successful parallel implementation of genetic programming on a network of processing nodes using the transputer architecture. With this approach, researc...
David Andre, John R. Koza
EUSFLAT
2003
165views Fuzzy Logic» more  EUSFLAT 2003»
13 years 8 months ago
Genetic fuzzy systems to evolve coordination strategies in competitive distributed systems
This paper suggests an evolutionary approach to design coordination strategies, a key issue in distributed intelligent systems. We focus on competitive strategies in the form of f...
Igor Walter, Fernando A. C. Gomide