Research on airport trailer emergency scheduling model based on genetic simulation annealing algorithm

被引:7
|
作者
Zhou, Zhiqiang [1 ]
Liu, Shi [1 ]
Huang, Kunyuan [1 ]
机构
[1] Inner Mongolia Univ, Coll Comp, Hohhot, Peoples R China
关键词
D O I
10.1088/1757-899X/383/1/012044
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With the increase of air transport business year by year, the airport comprehensive service capabilities are increasingly facing severe challenges. As a key part of airport service, ground scheduling is crucial to the departure of flights on time. by analyzing the traditional rules of airport trailer and combining with the service processes and the characteristics of trailers, the paper develops a multi-target trailer emergency scheduling model with rolling windows. When the model is solved, the simulation annealing algorithm is introduced into the genetic algorithm to prevent the optimal result falling into the local optimal solution. The simulation results show that the model can more effectively solves the problem of airport trailer emergency scheduling in the case of flight delays than the traditional scheme, and to relieve the pressure of flight delay for busy airports.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Airport scheduling optimization algorithm based on genetic algorithm
    State Key Laboratory of Chemical Engineering, School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China
    [J]. Hua Dong Li Gong Da Xue/J East China Univ Sci Technol, 2008, 3 (392-398): : 392 - 398
  • [2] A Research on Scheduling Model of Simulated Annealing Algorithm based on Integer Programming
    Yan, Yaning
    [J]. PROCEEDINGS OF THE 2016 JOINT INTERNATIONAL INFORMATION TECHNOLOGY, MECHANICAL AND ELECTRONIC ENGINEERING, 2016, 59 : 347 - 352
  • [3] Emergency Scheduling Model of Urban Rail Transit Based on Genetic Algorithm
    Li, Yijun
    Fang, Yu
    [J]. ADVANCED DESIGN AND MANUFACTURING TECHNOLOGY III, PTS 1-4, 2013, 397-400 : 2511 - 2516
  • [4] An Improved Genetic Algorithm-Based Traffic Scheduling Model for Airport Terminal Areas
    Liu, Junhao
    Cheng, Qing
    Wang, Yuanji
    Yang, Changqi
    Zhou, Rui
    Zhu, Xinping
    Yao, Di
    Zhou, Junjie
    Du, Yaqian
    Yang, Shanshan
    [J]. JOURNAL OF SENSORS, 2022, 2022
  • [5] A Research for Scheduling Model of Vehicles in Warehouses Based on Genetic Algorithm
    Wang You-zhao
    Peng Yu-xiang
    Guo Xiao-xi
    [J]. 2012 FOURTH INTERNATIONAL CONFERENCE ON MULTIMEDIA INFORMATION NETWORKING AND SECURITY (MINES 2012), 2012, : 753 - 756
  • [6] SIMULATED ANNEALING GENETIC ALGORITHM-BASED HARVESTER OPERATION SCHEDULING MODEL
    Zhang Qingkai
    Cao Guangqiao
    Zhang Junjie
    Huang Yuxiang
    Chen Cong
    Zhang Meng
    [J]. INMATEH-AGRICULTURAL ENGINEERING, 2021, 63 (01): : 249 - 260
  • [7] Research on Scheduling Emergency Supplies Featuring Hierarchical Linkage Based on Genetic Algorithm
    Hu, Feihu
    Bai, Weihao
    Tian, Chaohui
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING AND INFORMATION TECHNOLOGY APPLICATIONS, 2015, 28 : 141 - 150
  • [8] Research on emergency scheduling based on improved genetic algorithm in harvester failure scenarios
    Liu, Huanyu
    Zhang, Lihan
    Zhao, Baidong
    Tang, Jiacheng
    Luo, Jiahao
    Wang, Shuang
    [J]. FRONTIERS IN PLANT SCIENCE, 2024, 15
  • [9] Research on Simulation of Airport Fire Emergency Rescue Based on Swarm
    Ju, Yanbing
    Yu, Jinju
    Wang, Aihua
    Che, Haiying
    [J]. 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 9022 - +
  • [10] Scheduling for airport baggage transport vehicles based on diversityenhancement genetic algorithm
    Guo, Weian
    Xu, Ping
    Zhao, Zhen
    Wang, Lei
    Zhu, Lei
    Wu, Qidi
    [J]. NATURAL COMPUTING, 2020, 19 (04) : 663 - 672