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

Authors :
Jie YANG
Minghui YU
Yaxin PENG
Housheng SU
Dapeng YANG
Source :
Zhongguo Jianchuan Yanjiu, Vol 16, Iss 6, Pp 34-44 (2021)
Publication Year :
2021
Publisher :
Editorial Office of Chinese Journal of Ship Research, 2021.

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.

Details

Language :
English, Chinese
ISSN :
16733185
Volume :
16
Issue :
6
Database :
Directory of Open Access Journals
Journal :
Zhongguo Jianchuan Yanjiu
Publication Type :
Academic Journal
Accession number :
edsdoj.7fe97e80be1e4ce9aa3a69f6e9b765ab
Document Type :
article
Full Text :
https://doi.org/10.19693/j.issn.1673-3185.02019