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
ASF: a practical simulation-based methodology for the synthesis of custom analog circuits
Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design
Automatic Synthesis of CMOS Operational Amplifiers: A Fuzzy Optimization Approach
ASP-DAC '02 Proceedings of the 2002 Asia and South Pacific Design Automation Conference
Top-down heterogeneous synthesis of analog and mixed-signal systems
Proceedings of the conference on Design, automation and test in Europe: Proceedings
Hierarchical constraint transformation based on genetic optimization for analog system synthesis
Integration, the VLSI Journal
Classification of analog synthesis tools based on their architecture selection mechanisms
Integration, the VLSI Journal
Fuzzy techniques in optimization: based analog design
FS'08 Proceedings of the 9th WSEAS International Conference on Fuzzy Systems
ANTIGONE: Top-down creation of analog-to-digital converter architectures
Integration, the VLSI Journal
Fuzzy techniques in analog circuit design
WSEAS Transactions on Circuits and Systems
FUGA: a fuzzy-genetic analog circuit optimization kernel
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Analog circuits optimization based on evolutionary computation techniques
Integration, the VLSI Journal
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Hierarchical constraint transformation based on genetic optimization for analog system synthesis
Integration, the VLSI Journal
New directions in fuzzy automata
International Journal of Approximate Reasoning
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A CAD tool for analog circuit synthesis is presented. This tool, called FASY, uses fuzzy-logic based reasoning to select one topology among a fixed set of alternatives. For the selected topology, a two-phase optimizer sizes all elements to satisfy the performance constraints minimizing a cost function. In FASY, the decision rules used in the topology selection process are introduced by an expert designer or automatically generated by means of a learning process that uses the optimizer mentioned above. The capability of learning topology selection rules by experience, is unique in FASY. Practical examples demonstrate the tool ability of this tool to learn topology selection rules and to synthesize analog cells with different circuit topologies