Evolutionary Algorithms

  • James J. Buckley
  • Esfandiar Eslami
  • Thomas Feuring
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 91)


Our general purpose evolutionary algorithm is described in the next section. We have not included a disk containing our evolutionary algorithm in this book since you can download your own software (genetic, evolutionary) from the internet. Use the term “genetic algorithm”, or “evolutionary algorithm” in your search engine to locate their web pages and then you can solve your own fuzzy optimization problems.


Evolutionary Algorithm Fitness Function Fuzzy Number Mutation Operator Crossover Operator 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. [1]
    J.J. Buckley and T. Feuring: Fuzzy and Neural: Interactions and Applications, Physica-Verlag, Heidelburg, 1999.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • James J. Buckley
    • 1
  • Esfandiar Eslami
    • 2
  • Thomas Feuring
    • 3
  1. 1.Mathematics DepartmentUniversity of Alabama at BirminghamBirminghamUSA
  2. 2.Department of MathematicsShahid Bahonar UniversityKermanIran
  3. 3.Electrical Engineering and Computer ScienceUniversity of SiegenSiegenGermany

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