AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (272.5 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Effective outcome space branch-and-bound algorithm for solving the sum of affine ratios problem

College of Information Engineering, Henan University of Animal Husbandry and Economy, Zhengzhou 450000, China; wqmshiyan@163.com
School of Statistics and Mathematics, Henan Finance University, Zhengzhou 450046, China
School of Mathematical Sciences, Henan Institute of Science and Technology, Xinxiang 453003, China
Show Author Information

Abstract

This paper proposes an efficient method for acquiring the global solution of the sum of affine ratios problem (SARP) in the reduced outer space. Using equivalence conversions, the original problem was transformed into an equivalent problem. Then, an affine relaxation problem of the equivalent problem was constructed by exploiting linearization techniques. Subsequently, an outcome space branch-and-bound algorithm was proposed, the convergence of the algorithm was proved and the computational complexity was estimated. Finally, numerical examples were presented to demonstrate the effectiveness and feasibility of the presented algorithm.

CLC number: 90C32, 90C26

References

【1】
【1】
 
 
AIMS Mathematics
Pages 23837-23858

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Shi Y, Zheng Q, Yin J. Effective outcome space branch-and-bound algorithm for solving the sum of affine ratios problem. AIMS Mathematics, 2024, 9(9): 23837-23858. https://doi.org/10.3934/math.20241158

128

Views

0

Downloads

0

Crossref

0

Web of Science

0

Scopus

Received: 27 April 2024
Revised: 17 July 2024
Accepted: 29 July 2024
Published: 15 September 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)