Multi-car paint shop optimization with quantum annealing

@article{Yarkoni2021MulticarPS,
  title={Multi-car paint shop optimization with quantum annealing},
  author={Sheir Yarkoni and Alexander V. Alekseyenko and Michael Streif and David Von Dollen and Florian Neukart and Thomas B{\"a}ck},
  journal={2021 IEEE International Conference on Quantum Computing and Engineering (QCE)},
  year={2021},
  pages={35-41}
}
  • Sheir Yarkoni, A. Alekseyenko, +3 authors T. Bäck
  • Published 16 September 2021
  • Computer Science, Physics
  • 2021 IEEE International Conference on Quantum Computing and Engineering (QCE)
We present a generalization of the binary paint shop problem (BPSP) to tackle an automotive industry application, the multi-car paint shop (MCPS) problem. The objective of the optimization is to minimize the number of color switches between cars in a paint shop queue during manufacturing, a known NP-hard problem. We distinguish between different sub-classes of paint shop problems, and show how to formulate the basic MCPS problem as an Ising model. The problem instances used in this study are… Expand

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