A Composite Dispatching Rule-Based Method for Multi-Objective Aircraft Landing Problem

被引:0
|
作者
Zhao, Pengli [1 ]
Zhang, Junfeng [1 ]
You, Lubao [1 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Civil Aviat, 29 Jiangjun Ave,POB 211106, Nanjing, Peoples R China
来源
CICTP 2019: TRANSPORTATION IN CHINA-CONNECTING THE WORLD | 2019年
基金
中国国家自然科学基金;
关键词
ALGORITHM;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The high air traffic demand and scarce supply of resources have imposed intense pressure on the air transportation system. In this study, we propose a new method to solve the multi-objective aircraft landing problem quickly. Firstly, we comb the different criteria of the aircraft landing problem, and we choose the average scheduled time, maximum flow time, and maximum delay time as multiple objectives. Secondly, we formulate the model of the multi-objective aircraft landing problem and present the appropriate algorithms to solve the problem. In addition, a new composite dispatching rule is developed to solve the multi-objective aircraft landing problem with high computational efficiency. Finally, the performance of the proposed method is evaluated by a set of benchmark instances and in a real case scenario. The computational results illustrate the efficiency of our approach, which could simultaneously enhance the runway capacity, maximize the cost-effectiveness of airlines, and reduce the workloads of air traffic controllers.
引用
收藏
页码:4902 / 4913
页数:12
相关论文
共 50 条
  • [31] Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction
    Wang, HL
    Kwong, S
    Jin, YC
    Wei, W
    Man, KF
    FUZZY SETS AND SYSTEMS, 2005, 149 (01) : 149 - 186
  • [32] Development of a fuzzy rule-based multi-objective hybrid controller for static synchronous compensator
    Jianye C.
    Song Y.H.
    Stonham T.J.
    Chun L.
    Qirong J.
    Zonghong W.
    Neural Computing & Applications, 2000, 9 (1): : 29 - 36
  • [33] Guided Rule-Based Multi-objective Optimization for Real-Time Distributed Systems
    Triantafyllidis, Konstantinos
    Bondarev, Egor
    de With, Peter H. N.
    PROCEEDINGS 41ST EUROMICRO CONFERENCE ON SOFTWARE ENGINEERING AND ADVANCED APPLICATIONS SEAA 2015, 2015, : 224 - 232
  • [34] Surrogate-Assisted Multi-objective Genetic Algorithms for Fuzzy Rule-Based Classification
    Kalia, Harihar
    Dehuri, Satchidananda
    Ghosh, Ashish
    Cho, Sung-Bae
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2018, 20 (06) : 1938 - 1955
  • [35] A fast and efficient multi-objective evolutionary learning scheme for fuzzy rule-based classifiers
    Antonelli, Michela
    Ducange, Pietro
    Marcelloni, Francesco
    INFORMATION SCIENCES, 2014, 283 : 36 - 54
  • [36] A multi-objective genetic optimization of interpretability-oriented fuzzy rule-based classifiers
    Rudzinski, Filip
    APPLIED SOFT COMPUTING, 2016, 38 : 118 - 133
  • [37] Rule-based credit risk assessment model using multi-objective evolutionary algorithms
    Soui, Makram
    Gasmi, Ines
    Smiti, Salima
    Ghedira, Khaled
    EXPERT SYSTEMS WITH APPLICATIONS, 2019, 126 : 144 - 157
  • [38] Development of a fuzzy rule-based multi-objective hybrid controller for static synchronous compensator
    Chen, JY
    Song, YH
    Stonham, TJ
    Li, C
    Jiang, QR
    Wang, ZH
    NEURAL COMPUTING & APPLICATIONS, 2000, 9 (01): : 29 - 37
  • [39] Surrogate-Assisted Multi-objective Genetic Algorithms for Fuzzy Rule-Based Classification
    Harihar Kalia
    Satchidananda Dehuri
    Ashish Ghosh
    Sung-Bae Cho
    International Journal of Fuzzy Systems, 2018, 20 : 1938 - 1955
  • [40] A multi-objective programming method for vehicle dispatching in container terminal
    Yang, Xiaoming
    Ning, Zhao
    Chao, Mi
    Fan, Shu
    Liu, Haiwei
    Information Technology Journal, 2013, 12 (18) : 4783 - 4789