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» Model selection in genetic programming
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GECCO
2008
Springer
174views Optimization» more  GECCO 2008»
13 years 8 months ago
Mask functions for the symbolic modeling of epistasis using genetic programming
The study of common, complex multifactorial diseases in genetic epidemiology is complicated by nonlinearity in the genotype-to-phenotype mapping relationship that is due, in part,...
Ryan J. Urbanowicz, Nate Barney, Bill C. White, Ja...
COMPSAC
2000
IEEE
13 years 12 months ago
GAPS: A Genetic Programming System
Genetic programming tackles the issue of how to automatically create a working computer program for a given problem from some initial problem statement. The goal is accomplished i...
Michael D. Kramer, Du Zhang
CEC
2010
IEEE
13 years 7 months ago
Genetic programming for Expert Systems
— Genetic programming is the usage of the paradigm of survival of the fittest in scientific computing. It is applied to evolve solutions to problems where dependencies between ...
Konrad Sickel, Joachim Hornegger
ROBOCUP
1997
Springer
134views Robotics» more  ROBOCUP 1997»
13 years 11 months ago
Co-evolving Soccer Softbot Team Coordination with Genetic Programming
In this paper we explain how we applied genetic programming to behavior-based team coordination in the RoboCup Soccer Server domain. Genetic programming is a promising new method f...
Sean Luke, Charles Hohn, Jonathan Farris, Gary Jac...
JIFS
2002
107views more  JIFS 2002»
13 years 7 months ago
Model selection via Genetic Algorithms for RBF networks
This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...
Estefane G. M. de Lacerda, André Carlos Pon...