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LI Menglong, YU Minghui. Carrier-based aircraft support operation scheduling based on improved tabu search algorithm[J]. Chinese Journal of Ship Research, 2018, 13(5): 132-138. DOI: 10.19693/j.issn.1673-3185.01107
Citation: LI Menglong, YU Minghui. Carrier-based aircraft support operation scheduling based on improved tabu search algorithm[J]. Chinese Journal of Ship Research, 2018, 13(5): 132-138. DOI: 10.19693/j.issn.1673-3185.01107
shu

Carrier-based aircraft support operation scheduling based on improved tabu search algorithm

  • School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China

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  • Received Date: November 26, 2017
  • Available Online: May 07, 2021
© 2018 The Authors. Published by Editorial Office of Chinese Journal of Ship Research. Creative Commons License
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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    • Abstract
  •   Objectives  The sortie generation capacity is an important index of the operational capability of an aircraft carrier and largely determined by the support operation scheduling of the carrier-based aircraft. Therefore a good scheduling of carrier-based aircrafts on the deck can effectively improve the operational capability of aircraft carrier.
      Methods  This paper establishes the operation scheduling module by converting the carrier-based aircraft support operation scheduling into job-shop scheduling problem. And through improvement of initial solution, search strategy and tabu list length, an improved tabu search algorithm is proposed to solve the model, with the purpose of minimizing the makespan.
      Results  The simulation test results show that the improved tabu search algorithm can solve the carrier-based aircraft support operation scheduling problem effectively, and it is better than the traditional tabu search algorithm in terms of speed calculation and result optimization.
      Conclusions  The proposed algorithm provides an effective way to solve the carrier-based aircraft support operation scheduling problem.
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