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Optimization
A Journal of Mathematical Programming and Operations Research
Volume 71, 2022 - Issue 6
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Articles

Global optimization algorithm for solving linear multiplicative programming problems

Peiping Shena School of Mathematics and Statistics, North China University of Water Resources and Electric Power, Zhengzhou, People's Republic of ChinaCorrespondence[email protected]
[email protected]
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,
Kaimin Wangb College of Mathematics and Information Science, Henan Normal University, Xinxiang, People's Republic of ChinaView further author information
&
Ting Lub College of Mathematics and Information Science, Henan Normal University, Xinxiang, People's Republic of ChinaView further author information
Pages 1421-1441 | Received 06 Aug 2019, Accepted 14 Aug 2020, Published online: 02 Sep 2020

Citations (9)

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Read on this site (2)

Bingdi Huang & Peiping Shen. A new branch and bound method for solving linear multiplicative programming problems. Optimization 0:0, pages 1-21.
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Hongwei Jiao & Junqiao Ma. Optimizing generalized linear fractional program using the image space branch-reduction-bound scheme. Optimization 0:0, pages 1-32.
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Articles from other publishers (7)

R. Cambini, R. Riccardi & D. Scopelliti. (2023) Solving linear multiplicative programs via branch-and-bound: a computational experience. Computational Management Science 20:1.
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Peiping Shen, Yaping Deng & Dianxiao Wu. (2023) A criterion space algorithm for solving linear multiplicative programming problems. Numerical Algorithms.
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YueLin Gao & Bo Zhang. (2023) Output-space branch-and-bound reduction algorithm for generalized linear fractional-multiplicative programming problem. Chaos, Solitons & Fractals 175, pages 113924.
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Peiping Shen, Dianxiao Wu & Yafei Wang. (2023) An efficient spatial branch-and-bound algorithm using an adaptive branching rule for linear multiplicative programming. Journal of Computational and Applied Mathematics 426, pages 115100.
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Peiping Shen, Dianxiao Wu & Kaimin Wang. (2023) Globally minimizing a class of linear multiplicative forms via simplicial branch-and-bound. Journal of Global Optimization 86:2, pages 303-321.
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Hongwei Jiao, Wenjie Wang, Jingben Yin & Youlin Shang. (2022) Image space branch-reduction-bound algorithm for globally minimizing a class of multiplicative problems. RAIRO - Operations Research 56:3, pages 1533-1552.
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Yuan Shen, Yannian Zuo & Aolin Yu. (2021) A partially proximal S-ADMM for separable convex optimization with linear constraints. Applied Numerical Mathematics 160, pages 65-83.
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