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EUROGP
2000
Springer
107views Optimization» more  EUROGP 2000»
13 years 8 months ago
Using Factorial Experiments to Evaluate the Effect of Genetic Programming Parameters
Abstract. Statistical techniques for designing and analysing experiments are used to evaluate the individual and combined effects of genetic programming parameters. Three binary cl...
Robert Feldt, Peter Nordin
KES
2008
Springer
13 years 5 months ago
Functional genetic programming and exhaustive program search with combinator expressions
Using a strongly typed functional programming language for genetic programming has many advantages, but evolving functional programs with variables requires complex genetic operat...
Forrest Briggs, Melissa O'Neill
GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
13 years 10 months ago
Evolution, development and learning using self-modifying cartesian genetic programming
Self-Modifying Cartesian Genetic Programming (SMCGP) is a form of genetic programming that integrates developmental (self-modifying) features as a genotype-phenotype mapping. This...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
EUROGP
2003
Springer
173views Optimization» more  EUROGP 2003»
13 years 10 months ago
Tree Adjoining Grammars, Language Bias, and Genetic Programming
In this paper, we introduce a new grammar guided genetic programming system called tree-adjoining grammar guided genetic programming (TAG3P+), where tree-adjoining grammars (TAGs) ...
Nguyen Xuan Hoai, Robert I. McKay, Hussein A. Abba...
ISCI
1998
193views more  ISCI 1998»
13 years 4 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