Evolutionary Electronics: Automatic Design of Electronic Circuits and Systems by Genetic Algorithms
Evolutionary Electronics: Automatic Design of Electronic Circuits and Systems by Genetic Algorithms
Open-ended robust design of analog filters using genetic programming
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Evolutionary design of fault-tolerant analog control for a piezoelectric pipe-crawling robot
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Microelectronic Circuits Revised Edition
Microelectronic Circuits Revised Edition
Genetic Programming and Evolvable Machines
Automated synthesis of analog electrical circuits by means ofgenetic programming
IEEE Transactions on Evolutionary Computation
International Journal of Computer Applications in Technology
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Redundancy is one of the most important concepts when it comes to designing fault-tolerant systems. For example, if component failures occur, other redundant components can replace the functions of broken parts and the system can still work. The failure of electronic hardware presents a critical threat to the completion of modern aircraft, spacecraft, and robot missions. Compared to digital circuits, designing analog circuits is a difficult and knowledge-intensive task. In this paper, we used evolutionary computation to generate multiple analog circuits automatically and then we combined the solutions to generate robust outputs. Because evolutionary computation refers to a population-based search, multiple, redundant solutions can be maintained. Experimental results on the evolution of the lowpass filter show that the combination of multiple evolved analog circuits produces results that are more robust than those of the best single circuit.