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» Evolving heuristics with genetic programming
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GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
14 years 4 months ago
Self-modifying cartesian genetic programming
In nature, systems with enormous numbers of components (i.e. cells) are evolved from a relatively small genotype. It has not yet been demonstrated that artificial evolution is su...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
EUROGP
2010
Springer
182views Optimization» more  EUROGP 2010»
13 years 12 months ago
Unsupervised Problem Decomposition Using Genetic Programming
We propose a new framework based on Genetic Programming (GP) to automatically decompose problems into smaller and simpler tasks. The framework uses GP at two levels. At the top lev...
Ahmed Kattan, Alexandros Agapitos, Riccardo Poli
IE
2007
13 years 11 months ago
Evolving images for entertainment
Images are widely used in media contexts such as web design, games and video animation. The process of creating interesting images can be enjoyable if a useful tool is involved. I...
Qinying Xu, Daryl J. D'Souza, Victor Ciesielski
CEC
2009
IEEE
14 years 4 months ago
Self modifying Cartesian Genetic Programming: Parity
— Self Modifying CGP (SMCGP) is a developmental form of Cartesian Genetic Programming(CGP). It differs from CGP by including primitive functions which modify the program. Beginni...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
GPEM
2002
145views more  GPEM 2002»
13 years 9 months ago
An Analysis of the Causes of Code Growth in Genetic Programming
Abstract. This research examines the cause of code growth (bloat) in genetic programming (GP). Currently there are three hypothesized causes of code growth in GP: protection, drift...
Terence Soule, Robert B. Heckendorn