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» Evolving recurrent models using linear GP
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GECCO
2004
Springer
117views Optimization» more  GECCO 2004»
15 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
165
Voted
EUROGP
2007
Springer
145views Optimization» more  EUROGP 2007»
15 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
148
Voted
EUROGP
2006
Springer
138views Optimization» more  EUROGP 2006»
15 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
167
Voted
EUROGP
2010
Springer
217views Optimization» more  EUROGP 2010»
15 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
145
Voted
GECCO
2004
Springer
15 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