A C-T filter compiler—from specifications to layout
Analog Integrated Circuits and Signal Processing
An introduction to genetic algorithms
An introduction to genetic algorithms
Analog Circuits Evolution in Extrinsic and Intrinsic Modes
ICES '98 Proceedings of the Second International Conference on Evolvable Systems: From Biology to Hardware
Analogue EHW Chip for Intermediate Frequency Filters
ICES '98 Proceedings of the Second International Conference on Evolvable Systems: From Biology to Hardware
RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
A Pattern Recognition System Using Evolvable Hardware
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Machine Learning Approach to Gate-Level Evolvable Hardware
ICES '96 Proceedings of the First International Conference on Evolvable Systems: From Biology to Hardware
Artificial Evolution of Active Filters: A Case Study
EH '99 Proceedings of the 1st NASA/DOD workshop on Evolvable Hardware
Automated synthesis of analog electrical circuits by means ofgenetic programming
IEEE Transactions on Evolutionary Computation
Real-world applications of analog and digital evolvable hardware
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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This chapter proposes a framework of evolutionary analog circuits. This system features robustness to noise, optimized scaling, and high efficiency. These features solve the problems of the analog circuit design and manufacture. Methods utilized by this system are list-based chromosome, adjusted fitness, and two-stage evolution. Several experiments are conducted to examine the effectiveness of each of the methods. The first experiment compares other types of chromosome for the analog circuit design. The second experiment examines the robustness of evolutionary analog circuits. The other experiments are on the deduction of scaling and two-stage evolution.