Abstract
In this paper we present two simulated annealing algorithms (sequential and parallel) for the permutation flow shop sequencing problem with the objective of minimizing the flowtime. We propose a neighbourhood using the so-called blocks of jobs on a critical path and specific accepting function. We also use the lower bound of cost function. By computer simulations on Taillard [17] and other random problems, it is shown that the performance of the proposed algorithms is comparable with the random heuristic technique discussed in literature. The proposed properties can be applied in any local search procedures.
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© 2002 Springer-Verlag Berlin Heidelberg
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Wodecki, M., Bożzejko, W. (2002). Solving the Flow Shop Problem by Parallel Simulated Annealing. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2001. Lecture Notes in Computer Science, vol 2328. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48086-2_26
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DOI: https://doi.org/10.1007/3-540-48086-2_26
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