Using Disruptive Selection to Maintain Diversity in GeneticAlgorithms
Applied Intelligence
Automated Analog Circuit Sythesis Using a Linear Representation
ICES '98 Proceedings of the Second International Conference on Evolvable Systems: From Biology to Hardware
The Advantages of Landscape Neutrality in Digital Circuit Evolution
ICES '00 Proceedings of the Third International Conference on Evolvable Systems: From Biology to Hardware
Open-ended robust design of analog filters using genetic programming
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
A synthesis system for analog circuits based on evolutionary search and topological reuse
IEEE Transactions on Evolutionary Computation
The invention of CMOS amplifiers using genetic programming and current-flow analysis
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Open-ended evolution to discover analogue circuits for beyond conventional applications
Genetic Programming and Evolvable Machines
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The unconstrained evolution has already been applied in the past towards the design of digital circuits, and extraordinary results have been obtained, including generation of circuits with smaller number of electronic components. In this paper unconstrained evolution, blended with oscillating length genotype sweeping strategy, is applied towards the design of "QR" analogue circuit on the example of circuit that performs the cube root function. The promising results are obtained. The new algorithm has produced the excellent result in terms of quality of the circuit evolved and evolutionary resources required. It differs from previous ones by its simplicity and represents one of the first attempts to apply Evolutionary Strategy towards the analogue circuit design. The obtained result is compared with previous designs.