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Simultaneous Ant Colony Optimization Algorithms for Learning Linguistic Fuzzy Rules

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Swarm Intelligence in Data Mining

Part of the book series: Studies in Computational Intelligence ((SCI,volume 34))

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Author information

Authors and Affiliations

  1. Centre for Intelligent Systems and their Application School of Informatics, University of Edinburgh, EH8 9LE, Edinburgh, UK

    Michelle Galea

  2. Department of Computer Science, University of Wales, SY23 3DB, Aberystwyth, UK

    Qiang Shen

Authors
  1. Michelle Galea
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  2. Qiang Shen
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Editor information

Editors and Affiliations

  1. IITA Professorship Program, School of Computer Science and Engineering Chung-Ang University, 221 Heukseok-dong, 156-756, Dongjak-gu Seoul, Republic of Korea

    Ajith Abraham

  2. Department of Computer Science, Faculty of Mathematics and Computer Science, Babes-Bolyai University, Cluj-Napoca, Kogalniceanu 1, 400084, Cluj - Napoca, Romania

    Crina Grosan

  3. CVRM-IST, IST, Technical University of Lisbon, Av. Rovisco Pais, 1049-001, Lisboa, Portugal

    Vitorino Ramos

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© 2006 Springer-Verlag Berlin Heidelberg

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Galea, M., Shen, Q. (2006). Simultaneous Ant Colony Optimization Algorithms for Learning Linguistic Fuzzy Rules. In: Abraham, A., Grosan, C., Ramos, V. (eds) Swarm Intelligence in Data Mining. Studies in Computational Intelligence, vol 34. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-34956-3_4

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  • DOI: https://doi.org/10.1007/978-3-540-34956-3_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34955-6

  • Online ISBN: 978-3-540-34956-3

  • eBook Packages: EngineeringEngineering (R0)

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