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FUGA: a fuzzy-genetic analog circuit optimization kernel

Authors:

Pedro Sousa,

Carla Duarte,

Nuno HortaAuthors Info & Claims

GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation

Pages 1779 - 1780

https://doi.org/10.1145/1569901.1570156

Published: 08 July 2009 Publication History

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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

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Index Terms

FUGA: a fuzzy-genetic analog circuit optimization kernel
1. Applied computing
  1. Arts and humanities
    1. Architecture (buildings)
      1. Computer-aided design
  2. Physical sciences and engineering
    1. Engineering
      1. Computer-aided design

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Published In

GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation

July 2009

2036 pages

ISBN:9781605583259

DOI:10.1145/1569901

General Chair:
Franz Rothlauf
University of Mainz, Germany

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 July 2009

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GECCO09

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GECCO09: Genetic and Evolutionary Computation Conference

July 8 - 12, 2009

Québec, Montreal, Canada

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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