Hangar-exporting optimization schedule of shipborne helicopter based on genetic algorithm

Tong Hao; Hao Chen; Xianglei Meng; Han Shi; Kai Chen; Nengjian Wang; Mingxin Li

doi:10.1117/12.2641442

20 September 2022 Hangar-exporting optimization schedule of shipborne helicopter based on genetic algorithm

Tong Hao, Hao Chen, Xianglei Meng, Han Shi, Kai Chen, Nengjian Wang, Mingxin Li

Proceedings Volume 12261, International Conference on Mechanical Design and Simulation (MDS 2022); 122613Z (2022) https://doi.org/10.1117/12.2641442
Event: Second International Conference on Mechanical Design and Simulation (MDS 2022), 2022, Wuhan, China

Abstract

In order to shorten the hangar-exporting time of shipboard helicopter, the optimization of shipborne helicopter hangarexporting scheduling was studied. Firstly, the mathematic model of the shipboard helicopter hangar-exporting optimization is established. Secondly, based on the genetic algorithm, the algorithm for solving the schedule problem of shipborne helicopter out of the hangar is completed. Finally, the algorithm is verified by a case study. The case shows that the model and algorithm are feasible to get an optimal solution of the shipboard helicopter hangar-exporting scheduling.

Citation Download Citation

Tong Hao, Hao Chen, Xianglei Meng, Han Shi, Kai Chen, Nengjian Wang, and Mingxin Li "Hangar-exporting optimization schedule of shipborne helicopter based on genetic algorithm", Proc. SPIE 12261, International Conference on Mechanical Design and Simulation (MDS 2022), 122613Z (20 September 2022); https://doi.org/10.1117/12.2641442

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available