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» Evolution by Means of Genetic Programming of Analog Circuits...
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GECCO
2000
Springer
182views Optimization» more  GECCO 2000»
13 years 8 months ago
A Novel Evolvable Hardware Framework for the Evolution of High Performance Digital Circuits
This paper presents a novel evolvable hardware framework for the automated design of digital circuits for high performance applications. The technique evolves circuits correspondi...
Ben I. Hounsell, Tughrul Arslan
GECCO
2008
Springer
201views Optimization» more  GECCO 2008»
13 years 5 months ago
Advanced techniques for the creation and propagation of modules in cartesian genetic programming
The choice of an appropriate hardware representation model is key to successful evolution of digital circuits. One of the most popular models is cartesian genetic programming, whi...
Paul Kaufmann, Marco Platzner
ICES
1998
Springer
131views Hardware» more  ICES 1998»
13 years 8 months ago
Aspects of Digital Evolution: Geometry and Learning
In this paper we present a new chromosome representation for evolving digital circuits. The representation is based very closely on the chip architecture of the Xilinx 6216 FPGA. W...
Julian F. Miller, Peter Thomson
GECCO
2006
Springer
215views Optimization» more  GECCO 2006»
13 years 8 months ago
A multi-chromosome approach to standard and embedded cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is an extension of Cartesian Genetic Programming (CGP) that can automatically acquire, evolve and re-use partial solutions in the for...
James Alfred Walker, Julian Francis Miller, Rachel...
EUROGP
2009
Springer
119views Optimization» more  EUROGP 2009»
13 years 11 months ago
Comparison of CGP and Age-Layered CGP Performance in Image Operator Evolution
This paper analyses the efficiency of the Cartesian Genetic Programming (CGP) methodology in the image operator design problem at the functional level. The CGP algorithm is compare...
Karel Slaný