| FUGA: a fuzzy-genetic analog circuit optimization kernel |
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Genetic And Evolutionary Computation Conference
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Proceedings of the 11th Annual conference on Genetic and evolutionary computation
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Montreal, Québec, Canada
POSTER SESSION: Track 2: artificial life, evolutionary robotics, adaptive behavior, and evolvable hardware
table of contents
Pages 1779-1780
Year of Publication: 2009
ISBN:978-1-60558-325-9
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Authors
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Pedro Sousa
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Instituto de Telecomunicações, Lisbon, Portugal
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Carla Duarte
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Instituto de Telecomunicações, Lisbon, Portugal
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Nuno Horta
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Instituto de Telecomunicações, Lisbon, Portugal
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Downloads (6 Weeks): 5, Downloads (12 Months): 17, Citation Count: 0
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ABSTRACT
This paper describes an innovative analog circuit design optimization kernel. The new approach generates fuzzy models for qualitative reasoning based on a DOE approach. The models are then used within a standard genetic algorithm implementation enhancing the search by incorporating design knowledge represented by the fuzzy models. The achieved performance is discussed for a set of well known analog circuit structures.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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