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» Introduction to genetic programming
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GPEM
2002
134views more  GPEM 2002»
14 years 9 months ago
Genetic Programming and Autoconstructive Evolution with the Push Programming Language
Push is a programming language designed for the expression of evolving programs within an evolutionary computation system. This article describes Push and illustrates some of the o...
Lee Spector, Alan J. Robinson
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
15 years 1 months ago
Improving GP classifier generalization using a cluster separation metric
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
Ashley George, Malcolm I. Heywood
54
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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 3 months ago
Dormant program nodes and the efficiency of genetic programming
In genetic programming, there is a tendency for individuals in a population to accumulate fragments of code – often called introns – which are redundant in the fitness evaluat...
David Jackson
GECCO
2004
Springer
151views Optimization» more  GECCO 2004»
15 years 3 months ago
Discovery of Human-Competitive Image Texture Feature Extraction Programs Using Genetic Programming
In this paper we show how genetic programming can be used to discover useful texture feature extraction algorithms. Grey level histograms of different textures are used as inputs ...
Brian T. Lam, Victor Ciesielski
GECCO
2004
Springer
15 years 3 months ago
Evolving Quantum Circuits and Programs Through Genetic Programming
Abstract. Spector et al. have shown [1],[2],[3] that genetic programming can be used to evolve quantum circuits. In this paper, we present new results in this field, introducing p...
Paul Massey, John A. Clark, Susan Stepney