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EUROGP
2004
Springer
145views Optimization» more  EUROGP 2004»
14 years 3 months ago
Toward an Alternative Comparison between Different Genetic Programming Systems
In this paper, we use multi-objective techniques to compare different genetic programming systems, permitting our comparison to concentrate on the effect of representation and sepa...
Nguyen Xuan Hoai, Robert I. McKay, Daryl Essam, Hu...
CEC
2009
IEEE
14 years 4 months ago
Implicit Context Representation Cartesian Genetic Programming for the assessment of visuo-spatial ability
— In this paper, a revised form of Implicit Context Representation Cartesian Genetic Programming is used in the development of a diagnostic tool for the assessment of patients wi...
Stephen L. Smith, Michael A. Lones
GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
14 years 3 months ago
Adapting Representation in Genetic Programming
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees....
Cezary Z. Janikow
CEC
2010
IEEE
13 years 1 months ago
Discriminating normal and cancerous thyroid cell lines using implicit context representation Cartesian genetic programming
Abstract— In this paper, we describe a method for discriminating between thyroid cell lines. Five commercial thyroid cell lines were obtained, ranging from non-cancerous to cance...
Michael A. Lones, Stephen L. Smith, Andrew T. Harr...
ESOP
2004
Springer
14 years 3 months ago
Canonical Graph Shapes
Abstract. Graphs are an intuitive model for states of a (software) system that include pointer structures — for instance, object-oriented programs. However, a naive encoding resu...
Arend Rensink