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A Synergy Exploiting Evolutionary Approach To Complex Scheduling Problems

In: Computer Aided Methods In Optimal Design And Operations

Author

Listed:
  • J. A. VÁZQUEZ RODRÍGUEZ

    (Mathematical Sciences Department, The University of Essex, Wivenhoe Park, Colchester, CO4 3SQ, U.K.)

  • A. SALHI

    (Mathematical Sciences Department, The University of Essex, Wivenhoe Park, Colchester, CO4 3SQ, U.K.)

Abstract

We report on an innovative approach to solving Hybrid Flow Shop (HFS) scheduling problems through the combination of existing methods, most of which are simple heuristics. By judiciously combining these heuristics within an evolutionary framework, a higher level heuristic, a Hyper-Scheduler (HS), was devised. It was then, tested on a large array of HFS instances differing not only in input data, but crucially by the objective function used. The results suggest that HS success may well be due to it being successful at exploiting potential synergies between simple heuristics. These results are reported.

Suggested Citation

  • J. A. Vázquez Rodríguez & A. Salhi, 2006. "A Synergy Exploiting Evolutionary Approach To Complex Scheduling Problems," World Scientific Book Chapters, in: I D L Bogle & J Žilinskas (ed.), Computer Aided Methods In Optimal Design And Operations, chapter 7, pages 59-68, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812772954_0007
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    Citations

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    Cited by:

    1. Abdellah Salhi & Ghazwan Alsoufi & Xinan Yang, 2019. "An evolutionary approach to a combined mixed integer programming model of seaside operations as arise in container ports," Annals of Operations Research, Springer, vol. 272(1), pages 69-98, January.
    2. Ruiz, Rubén & Vázquez-Rodríguez, José Antonio, 2010. "The hybrid flow shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 205(1), pages 1-18, August.

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