• Corpus ID: 229298133

Solving large permutation flow-shop scheduling problems on GPU-accelerated supercomputers

@article{Gmys2020SolvingLP,
  title={Solving large permutation flow-shop scheduling problems on GPU-accelerated supercomputers},
  author={Jan Gmys},
  journal={ArXiv},
  year={2020},
  volume={abs/2012.09511}
}
  • Jan Gmys
  • Published 17 December 2020
  • Computer Science
  • ArXiv
Makespan minimization in permutation flow-shop scheduling is a well-known hard combinatorial optimization problem. Among the 120 standard benchmark instances proposed by E. Taillard in 1993, 23 have remained unsolved for almost three decades. In this paper, we present our attempts to solve these instances to optimality using parallel Branch-and-Bound tree search on the GPU-accelerated Jean Zay supercomputer. We report the exact solution of 11 previously unsolved problem instances and improved… 
1 Citations
Parallel Makespan Calculation for Flow Shop Scheduling Problem with Minimal and Maximal Idle Time
  • J. Rudy
  • Computer Science
    Applied Sciences
  • 2021
TLDR
The experiments on the Taillard-based problem instances using a simulated annealing solving method and employing the parallel makespan calculation show that the method is able to perform many more iterations in the given time limit and obtain better results than the non-parallel version.

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