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» Performance-Enhanced Genetic Programming
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HIS
2007
13 years 9 months ago
Genetic Programming meets Model-Driven Development
Genetic programming is known to provide good solutions for many problems like the evolution of network protocols and distributed algorithms. In such cases it is most likely a hard...
Thomas Weise, Michael Zapf, Mohammad Ullah Khan, K...
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 8 months ago
Developing neural structure of two agents that play checkers using cartesian genetic programming
A developmental model of neural network is presented and evaluated in the game of Checkers. The network is developed using cartesian genetic programs (CGP) as genotypes. Two agent...
Gul Muhammad Khan, Julian Francis Miller, David M....
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
14 years 1 months ago
Discovering biological motifs with genetic programming
Choosing the right representation for a problem is important. In this article we introduce a linear genetic programming approach for motif discovery in protein families, and we al...
Rolv Seehuus, Amund Tveit, Ole Edsberg
EUROGP
2009
Springer
125views Optimization» more  EUROGP 2009»
14 years 2 months ago
The Role of Population Size in Rate of Evolution in Genetic Programming
Abstract. Population size is a critical parameter that affects the performance of an Evolutionary Computation model. A variable population size scheme is considered potentially be...
Ting Hu, Wolfgang Banzhaf
ICTAI
2009
IEEE
14 years 2 months ago
Evolution Strategies for Constants Optimization in Genetic Programming
Evolutionary computation methods have been used to solve several optimization and learning problems. This paper describes an application of evolutionary computation methods to con...
César Luis Alonso, José Luis Monta&n...