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EUROGP
2008
Springer
137views Optimization» more  EUROGP 2008»
15 years 1 months ago
A Comparison of Cartesian Genetic Programming and Linear Genetic Programming
Two prominent genetic programming approaches are the graph-based Cartesian Genetic Programming (CGP) and Linear Genetic Programming (LGP). Recently, a formal algorithm for construc...
Garnett Carl Wilson, Wolfgang Banzhaf
96
Voted
JIKM
2006
136views more  JIKM 2006»
14 years 11 months ago
Decision Support Systems Using Ensemble Genetic Programming
Abstract. This paper proposes a decision support system for tactical air combat environment using a combination of unsupervised learning for clustering the data and an ensemble of ...
Ajith Abraham, Crina Grosan
GPEM
2000
121views more  GPEM 2000»
14 years 11 months ago
Bayesian Methods for Efficient Genetic Programming
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
Byoung-Tak Zhang
ISCI
1998
193views more  ISCI 1998»
14 years 11 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