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Study of Objective Functions in Fuzzy Job-Shop Problem

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Book cover Artificial Intelligence and Soft Computing – ICAISC 2006 (ICAISC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4029))

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Abstract

We consider the fuzzy job-shop problem, a job-shop scheduling problem with uncertain task durations and flexible due-date constraints. We propose different definitions of the objective function and analyse solutions obtained for each alternative using a genetic algorithm.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, University of Oviedo, Spain

    Inés González-Rodríguez, Camino R. Vela & Jorge Puente

Authors
  1. Inés González-Rodríguez
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  2. Camino R. Vela
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  3. Jorge Puente
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Department of Electrical Engineering and Computer Sciences, Berkeley Initiative in Soft Computing (BISC), University of California, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  4. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Żurada

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© 2006 Springer-Verlag Berlin Heidelberg

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González-Rodríguez, I., Vela, C.R., Puente, J. (2006). Study of Objective Functions in Fuzzy Job-Shop Problem. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2006. ICAISC 2006. Lecture Notes in Computer Science(), vol 4029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11785231_39

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  • DOI: https://doi.org/10.1007/11785231_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35748-3

  • Online ISBN: 978-3-540-35750-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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