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GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
13 years 11 months ago
A new crossover technique for Cartesian genetic programming
Genetic Programming was first introduced by Koza using tree representation together with a crossover technique in which random sub-branches of the parents' trees are swapped ...
Janet Clegg, James Alfred Walker, Julian Francis M...
CEC
2008
IEEE
14 years 1 months ago
Evolution of image filters on graphics processor units using Cartesian Genetic Programming
— Graphics processor units are fast, inexpensive parallel computing devices. Recently there has been great interest in harnessing this power for various types of scientific comp...
Simon Harding
CEC
2010
IEEE
12 years 11 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...
CEC
2009
IEEE
14 years 2 months ago
Gate-level optimization of polymorphic circuits using Cartesian Genetic Programming
— Polymorphic digital circuits contain ordinary and polymorphic gates. In the past, Cartesian Genetic Programming (CGP) has been applied to synthesize polymorphic circuits at the...
Zbysek Gajda, Lukás Sekanina
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
14 years 1 months ago
Solving real-valued optimisation problems using cartesian genetic programming
Classical Evolutionary Programming (CEP) and Fast Evolutionary Programming (FEP) have been applied to realvalued function optimisation. Both of these techniques directly evolve th...
James Alfred Walker, Julian Francis Miller