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Cited article:
Hongwei Jiao , Wenjie Wang , Li Ge , Peiping Shen , Youlin Shang
RAIRO-Oper. Res., 57 3 (2023) 1523-1537
Published online: 2023-06-21
This article has been cited by the following article(s):
6 articles
Outcome-space based B&B algorithm for min–max affine fractional programs through a series of linear relaxation techniques to solve large-size problems
Hongwei Jiao, Wenjie Wang and Youlin Shang Journal of Computational and Applied Mathematics 473 116874 (2026) https://doi.org/10.1016/j.cam.2025.116874
An efficient global optimization algorithm for the sum of linear ratios problems based on a novel adjustable branching rule
Bingdi Huang and Peiping Shen Computational Optimization and Applications 91 (3) 1339 (2025) https://doi.org/10.1007/s10589-025-00679-8
Optimizing the minimax affine fractional problem in reduced space
Binbin Li and Yuelin Gao Journal of Applied Mathematics and Computing 71 (4) 5103 (2025) https://doi.org/10.1007/s12190-025-02427-x
Globally addressing minmax linear fractional problem
Kun Hou, Yan Gao, Chenglin He and Hongwei Jiao Journal of Applied Mathematics and Computing 71 (S2) 1965 (2025) https://doi.org/10.1007/s12190-025-02609-7
Global algorithm for effectively solving min-max affine fractional programs
Hongwei Jiao, Yudong Sun, Wenjie Wang and Youlin Shang Journal of Applied Mathematics and Computing 70 (2) 1787 (2024) https://doi.org/10.1007/s12190-024-02027-1
A Novel Affine Relaxation-Based Algorithm for Minimax Affine Fractional Program
Hongwei Jiao, Binbin Li and Youlin Shang Asia-Pacific Journal of Operational Research 41 (05) (2024) https://doi.org/10.1142/S0217595923500367