Principles in the Evolutionary Design of Digital Circuits—Part II
Genetic Programming and Evolvable Machines
Proceedings of the European Conference on Genetic Programming
Fitness landscape analysis and image filter evolution using functional-level CGP
EuroGP'07 Proceedings of the 10th European conference on Genetic programming
Evolution of robot controller using cartesian genetic programming
EuroGP'05 Proceedings of the 8th 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
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
GECCO 2011 tutorial: cartesian genetic programming
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
GECCO 2012 tutorial: cartesian genetic programming
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
GECCO 2013 tutorial: cartesian genetic programming
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
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The paper focuses on the evolution of algorithms for control of a machine in the presence of sensor faults, using Cartesian Genetic Programming. The key challenges in creating training sets and a fitness function that encourage a general solution are discussed. The evolved algorithms are analysed and discussed. It was found that highly novel, mathematically elegant and hitherto unknown solutions were found.