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GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
13 years 9 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...
ICGA
1997
126views Optimization» more  ICGA 1997»
13 years 7 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
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
2000
Springer
107views Optimization» more  EUROGP 2000»
13 years 9 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
EUROGP
2004
Springer
135views Optimization» more  EUROGP 2004»
13 years 11 months ago
Reusing Code in Genetic Programming
Abstract. In this paper we propose an approach to Genetic Programming based on code reuse and we test it in the design of combinational logic circuits at the gate-level. The circui...
Edgar Galván López, Riccardo Poli, C...