Image Filter Design with Evolvable Hardware
Proceedings of the Applications of Evolutionary Computing on EvoWorkshops 2002: EvoCOP, EvoIASP, EvoSTIM/EvoPLAN
Proceedings of the European Conference on Genetic Programming
Neutrality and the Evolvability of Boolean Function Landscape
EuroGP '01 Proceedings of the 4th European Conference on Genetic Programming
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Evolvable Components: From Theory to Hardware Implementations
Evolvable Components: From Theory to Hardware Implementations
Investigating the performance of module acquisition in cartesian genetic programming
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
ALPS: the age-layered population structure for reducing the problem of premature convergence
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Finding needles in haystacks is harder with neutrality
Genetic Programming and Evolvable Machines
Fitness landscape analysis and image filter evolution using functional-level CGP
EuroGP'07 Proceedings of the 10th European conference on Genetic programming
An evolvable image filter: experimental evaluation of a complete hardware implementation in FPGA
ICES'05 Proceedings of the 6th international conference on Evolvable Systems: from Biology to Hardware
Redundancy and computational efficiency in Cartesian genetic programming
IEEE Transactions on Evolutionary Computation
Accelerating convergence in cartesian genetic programming by using a new genetic operator
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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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 compared with an age layering enhancement of the CGP algorithm by the means of achieved best results and their computational effort. Experimental results show that the Age-Layered Population Structure (ALPS) algorithm combined together with CGP can perform better in the task of image operator design in comparison with a common CGP algorithm.