Optimization strategy using dynamic radial basis function metamodel based on trust region

被引：0
|
作者：
机构：
[1] [1,Long, Teng
[2] Guo, Xiaosong
[3] Peng, Lei
[4] 1,Liu, Li
来源：
Long, T. (tenglong@bit.edu.cn) | 1600年 / Chinese Mechanical Engineering Society卷 / 50期
关键词：
Radial basis function networks;
D O I：
10.3901/JME.2014.07.184
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] Development and validation of a dynamic metamodel based on stochastic radial basis functions and uncertainty quantification
    Silvia Volpi
    Matteo Diez
    Nicholas J. Gaul
    Hyeongjin Song
    Umberto Iemma
    K. K. Choi
    Emilio F. Campana
    Frederick Stern
    Structural and Multidisciplinary Optimization, 2015, 51 : 347 - 368
  • [22] Trust-region based adaptive radial basis function algorithm for global optimization of expensive constrained black-box problems
    Liu, Chengyang
    Wan, Zhiqiang
    Liu, Yijie
    Li, Xuewu
    Liu, Dianzi
    APPLIED SOFT COMPUTING, 2021, 105
  • [23] Learning Radial Basis Function Networks with the Trust Region Method for Boundary Problems
    L. N. Elisov
    V. I. Gorbachenko
    M. V. Zhukov
    Automation and Remote Control, 2018, 79 : 1621 - 1629
  • [24] Learning Radial Basis Function Networks with the Trust Region Method for Boundary Problems
    Elisov, L. N.
    Gorbachenko, V. I.
    Zhukov, M. V.
    AUTOMATION AND REMOTE CONTROL, 2018, 79 (09) : 1621 - 1629
  • [25] Region-based image retrieval using radial basis function network
    Wu, Kui
    Yap, Kim-Hui
    Chau, Lap-Pui
    2006 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO - ICME 2006, VOLS 1-5, PROCEEDINGS, 2006, : 1777 - 1780
  • [26] Hybrid optimization strategy for radial basis function neural network structure
    Wang, Ling
    Zheng, Dazhong
    Qinghua Daxue Xuebao/Journal of Tsinghua University, 1999, 39 (07): : 50 - 53
  • [27] Derivative-Free Multiobjective Trust Region Descent Method Using Radial Basis Function Surrogate Models
    Berkemeier, Manuel
    Peitz, Sebastian
    MATHEMATICAL AND COMPUTATIONAL APPLICATIONS, 2021, 26 (02)
  • [28] A trajectory-based sampling strategy for sequentially refined metamodel management of metamodel-based dynamic optimization in mechatronics
    Lefebvre, Tom
    De Belie, Frederik
    Crevecoeur, Guillaume
    OPTIMAL CONTROL APPLICATIONS & METHODS, 2018, 39 (05): : 1786 - 1801
  • [29] GLOBAL CONVERGENCE OF RADIAL BASIS FUNCTION TRUST REGION DERIVATIVE-FREE ALGORITHMS
    Wild, Stefan M.
    Shoemaker, Christine
    SIAM JOURNAL ON OPTIMIZATION, 2011, 21 (03) : 761 - 781
  • [30] Topology optimization using hyper radial basis function network
    Apte, Aditya P.
    Wang, Bo Ping
    AIAA JOURNAL, 2008, 46 (09) : 2211 - 2218
12345