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Interactive Algorithms Using Fuzzy Concepts for Solving Mathematical Models of Real Life Optimization Problems

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Fuzzy Sets Based Heuristics for Optimization

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 126))

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Abstract

In this paper we first briefly survey our work on computational algorithms developed by us for solving mathematical models or real life optimization problems and then present in brief an interactive type computational algorithm which has been developed by us for solving mathematical models of real life optimization problems using fuzzy concepts. The working of this algorithm has been also demonstrated on some test problems taken from literature.

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Author information

Authors and Affiliations

  1. Amity School of Computer Sciences, Sector 44, Noida, 201303, U.P, India

    C. Mohan (Prof. & Dean, Formerly Prof. & Head Mathematics)

  2. Roorkee University, Roorkee, 247667, India

    C. Mohan (Prof. & Dean, Formerly Prof. & Head Mathematics)

  3. Department of Mathematics, Govt. Engineering College, Sagar, M.P., India

    S. K. Verma

Authors
  1. C. Mohan
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  2. S. K. Verma
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Editor information

Editors and Affiliations

  1. Dept. Computer Science and A.I., University of Granada, 18071, Granada, Spain

    José-Luis Verdegay

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Mohan, C., Verma, S.K. (2003). Interactive Algorithms Using Fuzzy Concepts for Solving Mathematical Models of Real Life Optimization Problems. In: Verdegay, JL. (eds) Fuzzy Sets Based Heuristics for Optimization. Studies in Fuzziness and Soft Computing, vol 126. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36461-0_9

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  • DOI: https://doi.org/10.1007/978-3-540-36461-0_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05611-6

  • Online ISBN: 978-3-540-36461-0

  • eBook Packages: Springer Book Archive

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