DARWIN: CMOS opamp synthesis by means of a genetic algorithm
DAC '95 Proceedings of the 32nd annual ACM/IEEE Design Automation Conference
Evolution using genetic programming of a low-distortion, 96 decibel operational amplifier
SAC '97 Proceedings of the 1997 ACM symposium on Applied computing
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Evolutionary Algorithms for Solving Multi-Objective Problems
Evolutionary Algorithms for Solving Multi-Objective Problems
A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Controlled Elitist Non-dominated Sorting Genetic Algorithms for Better Convergence
EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
Design of a High-Gain Operational Amplifier and Other Circuits by Means of Genetic Programming
EP '97 Proceedings of the 6th International Conference on Evolutionary Programming VI
A Cmos Fpta Chip For Intrinsic Hardware Evolution Of Analog Electronic Circuits
EH '01 Proceedings of the The 3rd NASA/DoD Workshop on Evolvable Hardware
Optimal design of a CMOS op-amp via geometric programming
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
The invention of CMOS amplifiers using genetic programming and current-flow analysis
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Analysing evolvable cell design for optimisation of routing options
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Task decomposition and evolvability in intrinsic evolvable hardware
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Toward self-adaptive embedded systems: multi-objective hardware evolution
ARCS'07 Proceedings of the 20th international conference on Architecture of computing systems
Open-ended evolution to discover analogue circuits for beyond conventional applications
Genetic Programming and Evolvable Machines
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This work tackles the problem of synthesizing transferable and reusable operational amplifiers on a field programmable transistor array: the Heidelberg FPTA. A multi-objective evolutionary algorithm is developed, in order to be able to include various specifications of an operational amplifier into the process of circuit synthesis. Additionally, the presented algorithm is designed to preserve the diversity within the population troughout evolution and is therefore able to efficiently explore the design space. Furthermore, the evolved circuits are proven to work on the chip as well as in simulation outside the FPTA. Schematics of good solutions are presented and their characteristics are compared to those of basic manually created reference designs.