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Adaptive Control of the Mutation Probability by Fuzzy Logic Controllers

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Parallel Problem Solving from Nature PPSN VI (PPSN 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1917))

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Abstract

A problem in the use of genetic algorithms is premature convergence, a premature stagnation of the search caused by the lack of population diversity. The mutation operator is the one responsible for the generation of diversity and therefore may be considered to be an important element in solving this problem. A solution adopted involves the control, throughout the run, of the parameter that determines its operation: the mutation probability.

In this paper, we study an adaptive approach for the control of the mutation probability based on the application of fuzzy logic controllers. Experimental results show that this technique consistently outperforms other mechanisms presented in the genetic algorithm literature for controlling this genetic algorithm parameter.

This research has been supported by DGICYT PB98-1319.

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Authors and Affiliations

  1. Department of Computer Science and Artificial Intelligence, University of Granada, 18071, Granada, Spain

    Francisco Herrera & Manuel Lozano

Authors
  1. Francisco Herrera
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  2. Manuel Lozano
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Editor information

Editors and Affiliations

  1. CMAP, Ecole Polytechnique, 91128, Palaiseau Cedex, France

    Marc Schoenauer

  2. Dept. of Mechanical Engineering Kanpur Genetic Algorithms Laboratory, Indian Institute of Technology Kanpur, Kanpur, Pin, 208 016, India

    Kalyanmoy Deb

  3. Fachbereich Informatik, Lehrstuhl für Systemanalyse, Universität Dortmund, Joseph-von-Fraunhofer-Str. 20, 44221, Dortmund, Germany

    Günther Rudolph  & Hans-Paul Schwefel  & 

  4. School of Computer Science, The University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK

    Xin Yao

  5. Projet Fractales, INRIA Rocquencourt, BP 105, 78153, Le Chesnay Cedex, France

    Evelyne Lutton

  6. Dept. de Arquitectura y Technologa de los Computadores, GeNeura Team, Universidad de Granada, Campus Fuenetenueva, s/n, Granada

    Juan Julian Merelo

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© 2000 Springer-Verlag Berlin Heidelberg

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Herrera, F., Lozano, M. (2000). Adaptive Control of the Mutation Probability by Fuzzy Logic Controllers. In: Schoenauer, M., et al. Parallel Problem Solving from Nature PPSN VI. PPSN 2000. Lecture Notes in Computer Science, vol 1917. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45356-3_33

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  • DOI: https://doi.org/10.1007/3-540-45356-3_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41056-0

  • Online ISBN: 978-3-540-45356-7

  • eBook Packages: Springer Book Archive

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