A distributed surrogate system assisted differential evolutionary algorithm for computationally expensive history matching problems

被引:0
|
作者
Ma, Xiaopeng [1 ]
Zhang, Kai [1 ,2 ]
Zhang, Liming [1 ]
Wang, Yanzhong [1 ]
Wang, Haochen [1 ]
Wang, Jian [3 ]
Yao, Jun [1 ]
机构
[1] Oil and Gas Development Engineering Institute, School of Petroleum Engineering, China University of Petroleum, Qingdao, China
[2] School of Civil Engineering, Qingdao University of Technology, Qingdao, China
[3] Department of Basic Mathematics, College of Sciences, China University of Petroleum, Qingdao, China
关键词
D O I
暂无
中图分类号
学科分类号
摘要
36
引用
收藏
相关论文
共 50 条
  • [1] A distributed surrogate system assisted differential evolutionary algorithm for computationally expensive history matching problems
    Ma, Xiaopeng
    Zhang, Kai
    Zhang, Liming
    Wang, Yanzhong
    Wang, Haochen
    Wang, Jian
    Yao, Jun
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2022, 210
  • [2] A Surrogate Model Assisted Evolutionary Algorithm for Computationally Expensive Design Optimization Problems with Discrete Variables
    Liu, Bo
    Sun, Nan
    Zhang, Qingfu
    Gielen, Georges
    Grout, Vic
    2016 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2016, : 1650 - 1657
  • [3] A Parallel Surrogate-Assisted Multi-Objective Evolutionary Algorithm for Computationally Expensive Optimization Problems
    Syberfeldt, Anna
    Grimm, Henrik
    Ng, Amos
    John, Robert I.
    2008 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-8, 2008, : 3177 - +
  • [4] A multi-fidelity surrogate-model-assisted evolutionary algorithm for computationally expensive optimization problems
    Liu, Bo
    Koziel, Slawomir
    Zhang, Qingfu
    JOURNAL OF COMPUTATIONAL SCIENCE, 2016, 12 : 28 - 37
  • [5] A Surrogate-Model-Assisted Evolutionary Algorithm for Computationally Expensive Design Optimization Problems with Inequality Constraints
    Liu, Bo
    Zhang, Qingfu
    Gielen, Georges
    SIMULATION-DRIVEN MODELING AND OPTIMIZATION, 2016, 153 : 347 - 370
  • [6] Surrogate-assisted operator-repeated evolutionary algorithm for computationally expensive multi-objective problems
    Cai, Xiwen
    Zou, Tao
    Gao, Liang
    APPLIED SOFT COMPUTING, 2023, 147
  • [7] SURROGATE'S OPTIMA ASSISTED EVOLUTIONARY ALGORITHM FOR OPTIMIZATION OF EXPENSIVE PROBLEMS
    Cai, Xiwen
    Gao, Liang
    Li, Fan
    2019 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2019, : 1696 - 1701
  • [8] Evolutionary optimization of computationally expensive problems via surrogate modeling
    Ong, Y.S. (asysong@ntu.edu.sg), 1600, American Inst. Aeronautics and Astronautics Inc. (41):
  • [9] Evolutionary optimization of computationally expensive problems via surrogate modeling
    Ong, YS
    Nair, PB
    Keane, AJ
    AIAA JOURNAL, 2003, 41 (04) : 687 - 696
  • [10] Two-layer adaptive surrogate-assisted evolutionary algorithm for high-dimensional computationally expensive problems
    Zan Yang
    Haobo Qiu
    Liang Gao
    Chen Jiang
    Jinhao Zhang
    Journal of Global Optimization, 2019, 74 : 327 - 359