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AUSAI
1997
Springer
13 years 11 months ago
Dominant and Recessive Genes in Evolutionary Systems Applied to Spatial Reasoning
Learning genetic representation has been shown to be a useful tool in evolutionary computation. It can reduce the time required to find solutions and it allows the search process ...
Thorsten Schnier, John S. Gero
CEC
2005
IEEE
14 years 1 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...

Publication
234views
13 years 11 months ago
Evolution of Analog Networks using Local String Alignment on Highly Reorganizable Genomes
We introduce and apply a genetic representation for analog electronic circuits based on the association of character strings extracted from the genome with the terminals and param...
Claudio Mattiussi, Dario Floreano
CEC
2009
IEEE
14 years 2 months ago
Representation and structural biases in CGP
— An evolutionary algorithm automatically discovers suitable solutions to a problem, which may lie anywhere in a large search space of candidate solutions. In the case of Genetic...
Andrew J. Payne, Susan Stepney
EUROGP
2005
Springer
104views Optimization» more  EUROGP 2005»
14 years 1 months ago
mGGA: The meta-Grammar Genetic Algorithm
A novel Grammatical Genetic Algorithm, the meta-Grammar Genetic Algorithm (mGGA) is presented. The mGGA borrows a grammatical representation and the ideas of modularity and reuse f...
Michael O'Neill, Anthony Brabazon