Ammunition Scheduling of Shipboard Aircraft According to Improved Ant Colony Algorithm

Author:

Yuan Quan1ORCID,Wang Liting2ORCID,Zheng Xiaomei2ORCID,Ma Ling2ORCID

Affiliation:

1. No.713 Research In stitute CSIC, China

2. Naval Aeronautical University, China

Publisher

ACM

Reference15 articles.

1. Han W Li Z Y Su X C Effectiveness evaluation of carrier aviation support system based on improved ANP and extension theory [J].Journal of Ordnance Equipment Engineering.2019.40 (08):100 -105.197. Han W Li Z Y Su X C Effectiveness evaluation of carrier aviation support system based on improved ANP and extension theory [J].Journal of Ordnance Equipment Engineering.2019.40 (08):100 -105.197.

2. Liu FP. Research on optimization and simulation of ammunition support system for carrier based aircraft D].Harbin:Harbin Engineering University 2017. Liu FP. Research on optimization and simulation of ammunition support system for carrier based aircraft D].Harbin:Harbin Engineering University 2017.

3. Xia G Q, Luan T T, Sun M X , etal.T-S fuzzy optimization model for uncertain weapons transporting system in carrier aircraft [J]. Control and Decision , 2018 , 33 ( 04 ): 639 一 643 . Xia G Q,Luan T T,Sun M X, etal.T-S fuzzy optimization model for uncertain weapons transporting system in carrier aircraft [J]. Control and Decision, 2018, 33(04): 639一643.

4. Tian D H He J M Qi J etal.Research on the optimization modeling and simulation of the dynamic traffic decision of aviation ammunition [J]. Journal of Northwestern Poly technical University 2018 36(06): 1236 -1242. Tian D H He J M Qi J etal.Research on the optimization modeling and simulation of the dynamic traffic decision of aviation ammunition [J]. Journal of Northwestern Poly technical University 2018 36(06):1236 -1242.

5. Wang Dongxian , Meng Xuelei , He Guoqiang , etal. Preparation of railway crew scheduling plan based on improved ant colony algorithm [J Gate] Computer Application , 2019 , 39 ( 12 ): 3678 - 3684 Wang Dongxian, Meng Xuelei, He Guoqiang, etal. Preparation of railway crew scheduling plan based on improved ant colony algorithm [J Gate] Computer Application, 2019, 39 (12): 3678-3684

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