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GECCO
2009
Springer
174views Optimization» more  GECCO 2009»
9 years 9 days ago
Shape grammars and grammatical evolution for evolutionary design
We describe the first steps in the adoption of Shape Grammars with Grammatical Evolution for application in Evolutionary Design. Combining the concepts of Shape Grammars and Genet...
Michael O'Neill, John Mark Swafford, James McDermo...
GPEM
2006
161views more  GPEM 2006»
9 years 2 months ago
Solving differential equations with genetic programming
A novel method for solving ordinary and partial differential equations, based on grammatical evolution is presented. The method forms generations of trial solutions expressed in an...
Ioannis G. Tsoulos, Isaac E. Lagaris
ASC
2010
9 years 2 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, ...
EVOW
2010
Springer
9 years 3 months ago
Evolving a Ms. PacMan Controller Using Grammatical Evolution
In this paper we propose an evolutionary approach capable of successfully combining rules to play the popular video game, Ms. PacMan. In particular we focus our attention on the be...
Edgar Galván López, John Mark Swaffo...
CEC
2010
IEEE
9 years 3 months ago
Tree-adjunct grammatical evolution
In this paper we investigate the application of tree-adjunct grammars to grammatical evolution. The standard type of grammar used by grammatical evolution, context-free grammars, p...
Eoin Murphy, Michael O'Neill, Edgar Galván ...
GECCO
2000
Springer
158views Optimization» more  GECCO 2000»
9 years 6 months ago
Grammar based function definition in Grammatical Evolution
We describe the use of grammars as an approach to automatic function definition in Grammatical Evolution. The automatic generation of functions allows the evolution of both the fu...
Michael O'Neill, Conor Ryan
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
9 years 6 months ago
Genetic programming with primitive recursion
When Genetic Programming is used to evolve arithmetic functions it often operates by composing them from a fixed collection of elementary operators and applying them to parameters...
Stefan Kahrs
EUROGP
2009
Springer
101views Optimization» more  EUROGP 2009»
9 years 7 months ago
Exploring Grammatical Evolution for Horse Gait Optimisation
Physics-based animal animations require data for realistic motion. This data is expensive to acquire through motion capture and inaccurate when estimated by an artist. Grammatical ...
James E. Murphy, Michael O'Neill, Hamish Carr
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
9 years 7 months ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....
EUROGP
2004
Springer
118views Optimization» more  EUROGP 2004»
9 years 8 months ago
Grammatical Evolution by Grammatical Evolution: The Evolution of Grammar and Genetic Code
This study examines the possibility of evolving the grammar that Grammatical Evolution uses to specify the construction of a syntactically correct solution. As the grammar dictates...
Michael O'Neill, Conor Ryan
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