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CEC
2005
IEEE
13 years 10 months ago
Linear genetic programming using a compressed genotype representation
This paper presents a modularization strategy for linear genetic programming (GP) based on a substring compression/substitution scheme. The purpose of this substitution scheme is t...
Johan Parent, Ann Nowé, Kris Steenhaut, Ann...
GECCO
2010
Springer
218views Optimization» more  GECCO 2010»
13 years 9 months ago
Cartesian genetic programming
This paper presents a new form of Genetic Programming called Cartesian Genetic Programming in which a program is represented as an indexed graph. The graph is encoded in the form o...
Julian Francis Miller, Simon L. Harding
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
13 years 8 months ago
Learning recursive programs with cooperative coevolution of genetic code mapping and genotype
The Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP) algorithm that cooperatively coevolves a population of adaptive mappings and associated genotypes is...
Garnett Carl Wilson, Malcolm I. Heywood
EVOW
2007
Springer
13 years 11 months ago
Toward Greater Artistic Control for Interactive Evolution of Images and Animation
We present several practical improvements to the interactive evolution of 2D images, some of which are also applicable to more general genetic programming problems. We introduce tr...
David A. Hart
ASC
2010
13 years 5 months ago
Genotype representations in grammatical evolution
Grammatical evolution (GE) is a form of grammar-based genetic programming. A particular feature of GE is that it adopts a distinction between the genotype and phenotype similar to...
Jonatan Hugosson, Erik Hemberg, Anthony Brabazon, ...