数学季刊 ›› 2024, Vol. 39 ›› Issue (4): 388-398.doi: 10.13371/j.cnki.chin.q.j.m.2024.04.005

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全局求解Minimax线性分式规划的分支定界算法

  

  1. School of Mathematics and Statistics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
  • 收稿日期:2024-02-27 出版日期:2024-12-30 发布日期:2024-12-30
  • 通讯作者: SHEN Pei-ping (1964-), female, native of Nanyang, Henan, professor of North China University of Water Resources and Electric Power, Ph.D, engages in optimisation theory and application; E-mail:shenpeiping@163.com
  • 作者简介:WANG Hui-man (1999-), female, native of Hebi, Henan, master student of North China University of Water Resources and Electric Power, engages in optimization theory and application; SHEN Pei-ping (1964-), female, native of Nanyang, Henan, professor of North China University of Water Resources and Electric Power, Ph.D, engages in optimisation theory and application; LIANG Yu-xin (2000-), female, native of Nanyang, Henan, master student of North China University of Water Resources and Electric Power, engages in optimization theory and application.
  • 基金资助:
    Supported by the National Natural Science Foundation of China (Grant Nos. 12071133 and 11871196).

Branch and Bound Algorithm for Globally Solving Minimax Linear Fractional Programming

  1. School of Mathematics and Statistics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
  • Received:2024-02-27 Online:2024-12-30 Published:2024-12-30
  • Contact: SHEN Pei-ping (1964-), female, native of Nanyang, Henan, professor of North China University of Water Resources and Electric Power, Ph.D, engages in optimisation theory and application; E-mail:shenpeiping@163.com
  • About author:WANG Hui-man (1999-), female, native of Hebi, Henan, master student of North China University of Water Resources and Electric Power, engages in optimization theory and application; SHEN Pei-ping (1964-), female, native of Nanyang, Henan, professor of North China University of Water Resources and Electric Power, Ph.D, engages in optimisation theory and application; LIANG Yu-xin (2000-), female, native of Nanyang, Henan, master student of North China University of Water Resources and Electric Power, engages in optimization theory and application.
  • Supported by:
    Supported by the National Natural Science Foundation of China (Grant Nos. 12071133 and 11871196).

摘要: In this paper, we study the minimax linear fractional programming problem on a non-empty bounded set, called problem (MLFP), and we design a branch and bound algorithm to find a globally optimal solution of (MLFP). Firstly, we convert the problem (MLFP) to a problem (EP2) that is equivalent to it. Secondly, by applying the convex relaxation technique to problem (EP2), a convex quadratic relaxation problem (CQRP) is obtained. Then, the overall framework of the algorithm is given and its convergence is proved, the worst-case iteration number is also estimated. Finally, experimental data are
listed to illustrate the effectiveness of the algorithm.

关键词: Minimax linear fractional programming, Global optimal solution, Branch and bound

Abstract: In this paper, we study the minimax linear fractional programming problem on a non-empty bounded set, called problem (MLFP), and we design a branch and bound algorithm to find a globally optimal solution of (MLFP). Firstly, we convert the problem (MLFP) to a problem (EP2) that is equivalent to it. Secondly, by applying the convex relaxation technique to problem (EP2), a convex quadratic relaxation problem (CQRP) is obtained. Then, the overall framework of the algorithm is given and its convergence is proved, the worst-case iteration number is also estimated. Finally, experimental data are
listed to illustrate the effectiveness of the algorithm.

Key words: Minimax linear fractional programming, Global optimal solution, Branch and bound

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