A Single-Variable Method for Solving the Min–Max Programming Problem with Addition–Overlap Function Composition

Min–max programming problems with addition–min constraints have been studied in the literature to model data transfer in BitTorrent-like peer-to-peer file-sharing systems. It is well known that the class of overlap functions contains various operators, including the “min” operator. The aim of this paper is to generalize the above min–max programming problem with addition–overlap function constraints. We demonstrate that this new optimization problem can be transformed into a simplified single-variable optimization problem, which makes it easier to find an optimal solution. The bisection method will be used to find this optimal solution. In addition, when the overlap function is explicitly specified, an iterative method is given to compute the optimal objective value with a polynomial time complexity. A numerical example is provided to illustrate the procedures.

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Publication Details

Journal
Mathematics
Published
2024-10-11
DOI
https://doi.org/10.3390/math12203183
Citations
3
Primary Topic
Optimization and Mathematical Programming
Type
article
Field-Weighted Citation Impact
0.98
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article

A Single-Variable Method for Solving the Min–Max Programming Problem with Addition–Overlap Function Composition

Yan-Kuen Wu, Sy‐Ming Guu, Ya-Chan Chang
3 citations
Mathematics
Optimization and Mathematical Programming
0.98
article

A Single-Variable Method for Solving the Min–Max Programming Problem with Addition–Overlap Function Composition

Yan-Kuen Wu, Sy‐Ming Guu, Ya-Chan Chang
article en
3 citations

Abstract

Min–max programming problems with addition–min constraints have been studied in the literature to model data transfer in BitTorrent-like peer-to-peer file-sharing systems. It is well known that the class of overlap functions contains various operators, including the “min” operator. The aim of this paper is to generalize the above min–max programming problem with addition–overlap function constraints. We demonstrate that this new optimization problem can be transformed into a simplified single-variable optimization problem, which makes it easier to find an optimal solution. The bisection method will be used to find this optimal solution. In addition, when the overlap function is explicitly specified, an iterative method is given to compute the optimal objective value with a polynomial time complexity. A numerical example is provided to illustrate the procedures.

MathematicsVol. 12(20)
Chang Gung University (TW), Shaoxing University (CN), Chang Gung Memorial Hospital (TW), Zhejiang Yuexiu University
Openalex Percentile: Top 23%
Optimization and Mathematical Programming
0.98
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