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Acta Aeronautica et Astronautica Sinica ›› 2023, Vol. 44 ›› Issue (20): 228485-228485.doi: 10.7527/S1000-6893.2023.28485

• Solid Mechanics and Vehicle Conceptual Design • Previous Articles    

Optimization algorithm for ammunition support operation scheduling of carrier-borne aircraft

Shaohui ZHANG1,2, Shun LIU1, Yafei LI1,3,4, Zhao JIN1,3,4, Yuanyuan JIN1,3,4, Shaocan WANG1,5, Jianbo ZHAO5,6, Mingliang XU1,3,4()   

  1. 1.School of Computer Science and Artificial Intelligence,Zhengzhou University,Zhengzhou  450001,China
    2.School of Network Engineering,Zhoukou Normal University,Zhoukou  466001,China
    3.Intelligent Cluster System Engineering Research Center of the Ministry of Education,Zhengzhou  450001,China
    4.National Supercomputing Center in Zhengzhou,Zhengzhou  450001,China
    5.The 713 Research Institute,China Shipbuilding Industry Corporation,Zhengzhou  450015,China
    6.School of Economics and Management,Jiangsu University of Science and Technology,Zhenjiang  212100,China
  • Received:2023-01-09 Revised:2023-03-07 Accepted:2023-03-17 Online:2023-03-20 Published:2023-03-17
  • Contact: Mingliang XU E-mail:iexumingliang@zzu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(62036010);National Science Fund for Excellent Young Scholars(61822701);National Natural Science Foundation of China(62172457);China Postdoctoral Science Foundation(2018M630836);Excellent Youth Fund of Henan Natural Science Foundation(202300410378);Science and Technology Project of Henan Province(212102210098);Training Program for Young Backbone Teachers of Henan Higher Education Institutions(2020GGJS215);Key Research Project of Henan Higher Education Institutions(22A520051)

Abstract:

Considering the highly dynamic and multi-stage characteristics of carrier-based aircraft ammunition support operations, we establish an optimization model based on the theory of swarm intelligence optimization and the method of flexible flow-shop scheduling. Firstly, the ammunition transfer support operation problem is reduced to a flexible flow-shop scheduling problem considering the delivery time of work-pieces, and heuristic rules are introduced to construct the model of Ammunition Transport Support for Carrier-Borne Aircraft (ATSCA), which takes into account the requirements of efficiency and robustness. Secondly, combined with the practice of ammunition dispatching operation, a Greedy Local Search Genetic Algorithm with Dual-Level Coding (GLSGA-DC) is designed to solve the ATSCA model with the goal of minimizing the maximum ammunition transfer time. The simulation results show that the GLSGA-DC algorithm has obtained the optimal values in the Mean Value (AVG), Relative Deviation (RD) and other indicators in benchmark tests and multiple groups of experiments in real ammunition transfer operations, demonstrating the effectiveness and robustness of the ATSCA model and algorithm in real ammunition support operations for carrier-borne aircraft.

Key words: carrier-borne aircraft, ammunition support operation, flexible job-shop scheduling, scheduling and optimization, simulation

CLC Number: