An evolutionary approach to designing and solving fuzzy job-shop problems

  • Authors:
  • Inés González-Rodríguez;Camino R. Vela;Jorge Puente

  • Affiliations:
  • Dept. of Computer Science, University of Oviedo, Spain;Dept. of Computer Science, University of Oviedo, Spain;Dept. of Computer Science, University of Oviedo, Spain

  • Venue:
  • IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
  • Year:
  • 2005

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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.