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» Evolving recurrent models using linear GP
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GECCO
2004
Springer
117views Optimization» more  GECCO 2004»
13 years 10 months ago
Multi-agent Foreign Exchange Market Modelling Via GP
In this work genetic programming is used to express and evolve trading strategies for a foreign exchange currency market simulator.
Stephen Dignum, Riccardo Poli
EUROGP
2007
Springer
145views Optimization» more  EUROGP 2007»
13 years 8 months ago
GP Classifier Problem Decomposition Using First-Price and Second-Price Auctions
This work details an auction-based model for problem decomposition in Genetic Programming classification. The approach builds on the population-based methodology of Genetic Progra...
Peter Lichodzijewski, Malcolm I. Heywood
EUROGP
2006
Springer
138views Optimization» more  EUROGP 2006»
13 years 8 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
EUROGP
2010
Springer
217views Optimization» more  EUROGP 2010»
13 years 11 months ago
Evolving Genes to Balance a Pole
We discuss how to use a Genetic Regulatory Network as an evolutionary representation to solve a typical GP reinforcement problem, the pole balancing. The network is a modified ver...
Miguel Nicolau, Marc Schoenauer, Wolfgang Banzhaf
GECCO
2004
Springer
13 years 10 months ago
Program Evolution by Integrating EDP and GP
This paper discusses the performance of a hybrid system which consists of EDP and GP. EDP, Estimation of Distribution Programming, is the program evolution method based on the prob...
Kohsuke Yanai, Hitoshi Iba