Application of genetic programming to prediction of containers handling capacity

被引:0
|
作者
Le, Mei-Long [1 ]
Fang, Yi [1 ]
机构
[1] Sch. of Naval Arch. and Ocean Eng., Shanghai Jiaotong Univ., Shanghai 200030, China
关键词
Distribution of goods - Flowcharting - Genetic algorithms - Mapping - Nonlinear systems;
D O I
暂无
中图分类号
学科分类号
摘要
This paper focused on more scientific and reasonable prediction method of containers handling capacity. Various prediction methods were reviewed and the genetic programming was briefly introduced. The different relative factors such as function sets, terminator sets, possibilities of reproduction, crossover and mutation, termination precision were studied and tested, and the final model which was applied in the prediction of containers handling capacity was established and the algorithm was programmed, Taking the containers handling capacity of Ningbo Port as an example, the different example data from historical data were selected for computation tests, and the sample data, which was used in the prediction of the future containers handling capacity of Ningbo Port, was determined. Then, the handling capacities of the coming nine years were predicted. The application result shows that the prediction method is reasonable and easy to achieve self-improvement. It is a new way to resolve the prediction of nonlinear system such as prediction of containers handling capacity.
引用
收藏
页码:1246 / 1250
相关论文
共 50 条
  • [21] Application of genetic programming coupling with genetic algorithm
    Zhou, XD
    Li, TH
    Bian, F
    Quian, JL
    CHEMICAL JOURNAL OF CHINESE UNIVERSITIES-CHINESE, 2000, 21 (02): : 216 - 218
  • [22] Deployment of a programming framework based on microservices and containers with application to the astrophysical domain
    Bentaleb, O.
    Sebaa, A.
    Kalli, S.
    Belloum, A. S. Z.
    ASTRONOMY AND COMPUTING, 2022, 41
  • [23] Application of optimization feature extraction from bearing based on genetic programming for life prediction
    Wang, Hao
    Dong, Guang-Ming
    Chen, Jin
    Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2021, 34 (03): : 626 - 632
  • [24] A genetic programming system for time series prediction and its application to El Nino forecast
    De Falco, I
    Della Cioppa, A
    Tarantino, E
    SOFT COMPUTING: METHODOLOGIES AND APPLICATIONS, 2005, : 151 - 162
  • [25] Comparison of boosting and genetic programming techniques for prediction of tensile strain capacity of Engineered Cementitious Composites (ECC)
    Bin Inqiad, Waleed
    Javed, Muhammad Faisal
    Siddique, Muhammad Shahid
    Khan, Naseer Muhammad
    Alkhattabi, Loai
    Abuhussain, Maher
    Alabduljabbar, Hisham
    MATERIALS TODAY COMMUNICATIONS, 2024, 39
  • [26] Application of Genetic Programming in Credit Scoring
    Liu, Shu-an
    Wang, Qing
    Lv, Shuai
    2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 1106 - 1110
  • [27] An application of genetic programming to economic forecasting
    Li, KS
    Chen, ZX
    Li, YX
    Zhou, AM
    Current Trends in High Performance Computing and Its Applications, Proceedings, 2005, : 71 - 80
  • [28] A Survey on the Application of Genetic Programming to Classification
    Espejo, Pedro G.
    Ventura, Sebastian
    Herrera, Francisco
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2010, 40 (02): : 121 - 144
  • [29] Application issues of genetic programming in industry
    Kordon, A
    Castillo, F
    Smits, G
    Kotanchek, M
    GENETIC PROGRAMMING THEORY AND PRACTICE III, 2006, 9 : 241 - +
  • [30] Genetic programming for financial time series prediction
    Santini, M
    Tettamanzi, A
    GENETIC PROGRAMMING, PROCEEDINGS, 2001, 2038 : 361 - 370