Multi-objective optimization of carrier-based aircraft support personnel configuration

YANG Jie; YU Minghui; PENG Yaxin; SU Housheng; YANG Dapeng

doi:10.19693/j.issn.1673-3185.02019

Volume 16 Issue 6

Dec. 2021

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Chinese Journal of Ship Research > 2021 > 16(6): 34-44. > DOI: 10.19693/j.issn.1673-3185.02019 CSTR: 32390.14.j.issn.1673-3185.02019

YANG J, YU M H, PENG Y X, et al. Multi-objective optimization of carrier-based aircraft support personnel configuration[J]. Chinese Journal of Ship Research, 2021, 16(6): 34–44. DOI: 10.19693/j.issn.1673-3185.02019

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Multi-objective optimization of carrier-based aircraft support personnel configuration

1.
School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China
2.
China Ship Development and Design Center, Wuhan 430064, China

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Received Date: June 27, 2020
Revised Date: March 17, 2021
Available Online: May 25, 2021

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 Flight-deck support operations are the most critical link in the process of launch and recovery of carrier-based aircraft.The reasonable allocation of support personnel can enable to improve the capability of supporting the aircraft fleet operation and the sortie generation rate, thereby enhancing the overall combat effectiveness of the carrier.
Method Aiming at the personnel configuration problem of the carrier-based aircraft flight-deck operation support, considering the complex realistic environment and based on the makespan of the aircraft fleet operation support, load balance and cumulative transfer time of support personnel on flight deck, a multi-objective mathematical programming model is established to obtain the required numbers of support personnel and skill allocation scheme. An integer encoding method and decoding method based on the event-based scheduling policy are designed, and an improved NSGA2-based personnel optimization algorithm is proposed to solve the problem.
Results The simulation results show that this algorithm can effectively solve the established mathematical model, and the simulation results meet the actual combat requirements.
Conclusion The improved NSGA2 algorithm can combine the carrier-based aircraft support process, numbers of personnel and skill allocation to provide the carrier-based aircraft support operation with a multi-objective optimized scheduling plan.
- carrier-based aircraft,
- support personnel allocation,
- multi-objective optimization,
- NSGA2

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