Evolutionary Electronics: Automatic Design of Electronic Circuits and Systems by Genetic Algorithms
Evolutionary Electronics: Automatic Design of Electronic Circuits and Systems by Genetic Algorithms
Analog circuit optimization system based on hybrid evolutionary algorithms
Integration, the VLSI Journal
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Design illustration of a symmetric OTA using multiobjective genetic algorithms
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part III
Automatic filter synthesis based on tree generation and evolutionary optimization
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part IV
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Although analog circuits play an important role in Systemson-a-chip, their design is effort and time consuming. Automated design methodologies are elaborated to overcome drawbacks resulting from human design. This paper proposes a double-layer on-line genetic algorithm-based optimization method for use in the automated design of Gm-C filters. To accomplish on-line circuit evolution, a Matlab-Eldo interface is proposed for communication of the GA with the circuit simulation environment. After a presentation of the Gm-C filter with an analysis of filter tunability, the two layers of the evolution are presented: raw filter design and fine-tuning of the filter characteristic. Simulation of the evolutionary algorithm proves the efficiency of the double-layer approach in reducing design time for a GA-only optimization technique.