Local search heuristics for two-stage flow shop problems with secondary criterion

  • Authors:
  • Jatinder N. D. Gupta;Karsten Hennig;Frank Werner

  • Affiliations:
  • Department of Management, Ball State University, Muncie, IN;Otto-von-Guericke-Universität, Fakultät für Mathematik, 39106 Magdeburg, Germany;Otto-von-Guericke-Universität, Fakultät für Mathematik, 39106 Magdeburg, Germany

  • Venue:
  • Computers and Operations Research
  • Year:
  • 2002

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Abstract

This paper develops and compares different local search heuristics for the two-stage flow shop problem with makespan minimization as the primary criterion and the minimization of either the total flow time, total weighted flow time, or total weighted tardiness as the secondary criterion. We investigate several variants of simulated annealing, threshold accepting, tabu search, and multi-level search algorithms. The influence of the parameters of these heuristics and the starting solution are empirically analyzed. The proposed heuristic algorithms are empirically evaluated and found to be relatively more effective in finding better quality solutions than the existing algorithms.