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An ACO-based hyperheuristic with dynamic decision blocks for intercell scheduling

Author

Listed:
  • Yunna Tian

    (Beijing Institute of Technology
    Yan’an University)

  • Dongni Li

    (Beijing Institute of Technology)

  • Pengyu Zhou

    (Beijing Institute of Technology)

  • Rongtao Guo

    (Beijing Institute of Technology)

  • Zhaohe Liu

    (Beijing Institute of Technology)

Abstract

In real production of equipment manufacturing industry, coordination between cells is needed. Intercell scheduling therefore comes into being. In this paper, a limited intercell transportation capacity constraint is taken into consideration, a hyperheuristic is proposed, which employs ant colony optimization to select appropriate heuristic rules for production scheduling and transportation scheduling. Moreover, dynamic decision blocks are introduced to the hyperheuristic to make a better balance between optimization performance and computation efficiency. Computational results show that, as compared with other approaches, the proposed approach performs much better with respect to minimizing total weighted tardiness while retaining low computational costs, and it is especially suitable for the problems with large sizes.

Suggested Citation

  • Yunna Tian & Dongni Li & Pengyu Zhou & Rongtao Guo & Zhaohe Liu, 2018. "An ACO-based hyperheuristic with dynamic decision blocks for intercell scheduling," Journal of Intelligent Manufacturing, Springer, vol. 29(8), pages 1905-1921, December.
    • Handle: RePEc:spr:joinma:v:29:y:2018:i:8:d:10.1007_s10845-016-1216-z
    DOI: 10.1007/s10845-016-1216-z
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    References listed on IDEAS

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    3. Dongni Li & Xianwen Meng & Miao Li & Yunna Tian, 2016. "An ACO-based intercell scheduling approach for job shop cells with multiple single processing machines and one batch processing machine," Journal of Intelligent Manufacturing, Springer, vol. 27(2), pages 283-296, April.
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    6. Solimanpur, Maghsud & Elmi, Atabak, 2013. "A tabu search approach for cell scheduling problem with makespan criterion," International Journal of Production Economics, Elsevier, vol. 141(2), pages 639-645.
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