Neural network approach to the vessel dispatching problem

被引:0
|
作者
Univ of Belgrade, Belgrade, Yugoslavia [1 ]
机构
来源
Eur J Oper Res | / 3卷 / 473-487期
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [41] A neural network approach for solving nonlinear bilevel programming problem
    Lv, Yibing
    Hu, Tiesong
    Wang, Guangmin
    Wan, Zhongping
    COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2008, 55 (12) : 2823 - 2829
  • [42] A data processing and neural network approach for the inverse problem in ECT
    Popa, RC
    Miya, K
    ELECTROMAGNETIC NONDESTRUCTIVE EVALUATION (II), 1998, 14 : 297 - 304
  • [43] A Neural Network Approach for Solving Linear Bilevel Programming Problem
    Hu, Tiesong
    Huang, Bing
    Zhang, Xiang
    SIXTH INTERNATIONAL SYMPOSIUM ON NEURAL NETWORKS (ISNN 2009), 2009, 56 : 649 - 658
  • [44] A finite-time projection neural network to solve the joint optimal dispatching problem of CHP and wind power
    Wei, Boyu
    He, Xing
    NEURAL COMPUTING & APPLICATIONS, 2022, 34 (10): : 7405 - 7417
  • [45] A finite-time projection neural network to solve the joint optimal dispatching problem of CHP and wind power
    Boyu Wei
    Xing He
    Neural Computing and Applications, 2022, 34 : 7405 - 7417
  • [46] An integrated approach to economic emission load dispatching using neural network and goal-attainment methods
    Hota, PK
    Chakrabarti, R
    Chattopadhyay, PK
    ELECTRIC MACHINES AND POWER SYSTEMS, 1999, 27 (10): : 1085 - 1096
  • [47] An NLP-Based Model for the Dispatching Problem of Network Operation
    Li Yun-Jie
    Li Jhao-Yin
    2022 23RD ASIA-PACIFIC NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM (APNOMS 2022), 2022, : 395 - 398
  • [48] Training a neural network to select dispatching rules in real time
    Mouelhi-Chibani, Wiem
    Pierreval, Henri
    COMPUTERS & INDUSTRIAL ENGINEERING, 2010, 58 (02) : 249 - 256
  • [49] A hybrid dynamic pre-emptive and competitive neural-network approach in solving the multi-objective dispatching problem for TFT-LCD manufacturing
    Yang, Taho
    Lu, Jiunn Chenn
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2010, 48 (16) : 4807 - 4828
  • [50] Damage Localization in Pressure Vessel by Guided Waves Based on Convolution Neural Network Approach
    Hu, Chaojie
    Yang, Bin
    Yan, Jianjun
    Xiang, Yanxun
    Zhou, Shaoping
    Xuan, Fu-Zhen
    JOURNAL OF PRESSURE VESSEL TECHNOLOGY-TRANSACTIONS OF THE ASME, 2020, 142 (06):