Details

Autor(en) / Beteiligte

• Guu, Sy-Ming
• Wu, Yan-Kuen

Titel

A Linear Programming Approach for Minimizing a Linear Function Subject to Fuzzy Relational Inequalities With Addition–Min Composition

Ist Teil von

• IEEE transactions on fuzzy systems, 2017-08, Vol.25 (4), p.985-992

Ort / Verlag

New York: IEEE

Erscheinungsjahr

2017

Link zum Volltext

• Volltext

Quelle

IEEE Xplore

Beschreibungen/Notizen

• In this paper, we study an optimization problem of minimizing a linear function subject to fuzzy relational inequalities with the addition-min composition. This optimization setting has recently been proposed to model the network cogestion issue when a BitTorrent-like peer-to-peer file-sharing system is used for data transmission. In a 2014 paper, a pseudominimal index (PMI)-based approach was proposed to search for an optimal solution. It turns out that the PMI-based approach may require to solve several to many linear programming problems in order to get an optimal solution. In this paper, we point out that the feasible domain is indeed convex. And we only need to solve a single linear programming problem to generate an optimal solution for the original optimization problem. Furthermore, our approach could be extended to the case with a nonlinear continuous objective function.