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GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
14 years 1 months ago
A new crossover technique for Cartesian genetic programming
Genetic Programming was first introduced by Koza using tree representation together with a crossover technique in which random sub-branches of the parents' trees are swapped ...
Janet Clegg, James Alfred Walker, Julian Francis M...
COMPSAC
2000
IEEE
14 years 2 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
ICGA
1997
126views Optimization» more  ICGA 1997»
13 years 11 months ago
Evolution of Graph-Like Programs with Parallel Distributed Genetic Programming
Parallel Distributed Genetic Programming (PDGP) is a new form of Genetic Programming (GP) suitable for the development of programs with a high degree of parallelism. Programs are ...
Riccardo Poli
KES
2008
Springer
13 years 9 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»
14 years 2 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...