Analog VLSI and neural systems
Analog VLSI and neural systems
Synthesis of high-performance analog cells in ASTRX/OBLX
Synthesis of high-performance analog cells in ASTRX/OBLX
DARWIN: CMOS opamp synthesis by means of a genetic algorithm
DAC '95 Proceedings of the 32nd annual ACM/IEEE Design Automation Conference
Using top-down CAD tools for mixed analog/digital ASICs: a practical design case
Analog Integrated Circuits and Signal Processing - Special issue: modeling and simulation of mixed analog-digital systems
General AC constraint transformation for analog ICs
DAC '98 Proceedings of the 35th annual Design Automation Conference
Hierarchical constraint transformation using directed interval search for analog system synthesis
DATE '99 Proceedings of the conference on Design, automation and test in Europe
DATE '99 Proceedings of the conference on Design, automation and test in Europe
MAELSTROM: efficient simulation-based synthesis for custom analog cells
Proceedings of the 36th annual ACM/IEEE Design Automation Conference
Behavioral synthesis of analog systems using two-layered design space exploration
Proceedings of the 36th annual ACM/IEEE Design Automation Conference
Hierarchical characterization of analog integrated CMOS circuits
Proceedings of the conference on Design, automation and test in Europe
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms and Manufacturing Systems Design
Genetic Algorithms and Manufacturing Systems Design
VLSID '99 Proceedings of the 12th International Conference on VLSI Design - 'VLSI for the Information Appliance'
Constraint transformation techniques for synthesis of analog systems
Constraint transformation techniques for synthesis of analog systems
FASY: a fuzzy-logic based tool for analog synthesis
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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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In a top-down analog system design methodology, the task of translating high-level performance specifications and constraints into component level parameters is termed as constraint transformation. In this paper, we presented a genetic optimization based approach to constraint transformation. The salient features of this are a search space profiling technique and a hierarchical two-level genetic optimization engine. Performance estimation for profiling and hierarchical optimization uses both the performance equations embedded in an analog performance estimation module as well as detailed SPICE simulation. We described the constraint transformation method, and each of its constituents. The effectiveness of the two-level hierarchical approach was established by comparing it against a flat non-hierarchical method. Application of the constraint transformation method in the synthesis of design examples was also presented in the paper.