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CEC
2009
IEEE
13 years 5 months ago
Analysis of constant creation techniques on the binomial-3 problem with grammatical evolution
This paper studies the difference between Persistent Random Constants (PRC) and Digit Concatenation as methods for generating constants. It has been shown that certain problems hav...
Jonathan Byrne, Michael O'Neill, Erik Hemberg, Ant...
GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
14 years 7 days 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
1999
Springer
151views Optimization» more  EUROGP 1999»
13 years 12 months ago
Phenotype Plasticity in Genetic Programming: A Comparison of Darwinian and Lamarckian Inheritance Schemes
Abstract We consider a form of phenotype plasticity in Genetic Programming (GP). This takes the form of a set of real-valued numerical parameters associated with each individual, a...
Anna Esparcia-Alcázar, Ken Sharman
GECCO
2005
Springer
14 years 1 months ago
Scalability of genetic programming and probabilistic incremental program evolution
Radovan Ondas, Martin Pelikan, Kumara Sastry
ECAL
1995
Springer
13 years 11 months ago
Contemporary Evolution Strategies
After an outline of the history of evolutionary algorithms, a new ( ) variant of the evolution strategies is introduced formally. Though not comprising all degrees of freedom, it i...
Hans-Paul Schwefel, Günter Rudolph