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GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
14 years 2 days ago
Evolution, development and learning using self-modifying cartesian genetic programming
Self-Modifying Cartesian Genetic Programming (SMCGP) is a form of genetic programming that integrates developmental (self-modifying) features as a genotype-phenotype mapping. This...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
EUROGP
2008
Springer
128views Optimization» more  EUROGP 2008»
13 years 9 months ago
Hardware Accelerators for Cartesian Genetic Programming
A new class of FPGA-based accelerators is presented for Cartesian Genetic Programming (CGP). The accelerators contain a genetic engine which is reused in all applications. Candidat...
Zdenek Vasícek, Lukás Sekanina
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
EUROGP
2005
Springer
122views Optimization» more  EUROGP 2005»
14 years 1 months ago
Evolution of Robot Controller Using Cartesian Genetic Programming
Abstract. Cartesian Genetic Programming is a graph based representation that has many benefits over traditional tree based methods, including bloat free evolution and faster evolu...
Simon Harding, Julian F. Miller
ICES
2010
Springer
148views Hardware» more  ICES 2010»
13 years 5 months ago
An Efficient Selection Strategy for Digital Circuit Evolution
In this paper, we propose a new modification of Cartesian Genetic Programming (CGP) that enables to optimize digital circuits more significantly than standard CGP. We argue that co...
Zbysek Gajda, Lukás Sekanina