Parallel Simulated Annealing Algorithm for Cyclic Flexible Job Shop Scheduling Problem

  • Wojciech Bożejko
  • Jarosław Pempera
  • Mieczysław Wodecki
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9120)

Abstract

This paper deals with scheduling of tasks in cyclic flexible job shop scheduling problem (CFJSSP). We have proposed a new method of computing cyclic time for CFJSSP. This method is based on the known properties of the job shop problem as well as new properties of cyclic scheduling. We have developed two versions of proposed method: sequential and parallel. The parallel version is dedicated to the computing devices supporting vector processing. Finally, we have developed double paralyzed simulated annealing algorithms: fine grained - vector processing, multiple walk - multi core processing. Computation results, provided on market multicore processors, are presented for a set of benchmark instances from the literature.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Wojciech Bożejko
    • 1
  • Jarosław Pempera
    • 1
  • Mieczysław Wodecki
    • 2
  1. 1.Department of Automatics, Mechatronics and Control Systems, Faculty of ElectronicsWrocław University of TechnologyWrocławPoland
  2. 2.Institute of Computer ScienceUniversity of WrocławWrocławPoland

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