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An Evolutionary Approach to Designing and Solving Fuzzy Job-Shop Problems

  • Inés González-Rodríguez
  • Camino R. Vela
  • Jorge Puente
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3562)

Abstract

In the sequel we shall consider the fuzzy job-shop problem, a variation of the job-shop problem where the duration of tasks may be uncertain and where due-date constraints are flexible. Our aim is to provide a semantics for this problem and fix some criteria to analyse solutions obtained by Evolutionary Algorithms.

Keywords

Schedule Problem Completion Time Fuzzy Number Satisfaction Degree Fuzzy Processing Time 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Inés González-Rodríguez
    • 1
  • Camino R. Vela
    • 1
  • Jorge Puente
    • 1
  1. 1.Dept. of Computer ScienceUniversity of OviedoSpain

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