Multiple objective optimization for systems with addition–min fuzzy relational inequalities

Sy Ming Guu; Yan Kuen Wu

doi:10.1007/s10700-019-09306-8

Multiple objective optimization for systems with addition–min fuzzy relational inequalities

Sy Ming Guu
, Yan Kuen Wu^*

^*Corresponding author for this work

Graduate Institute of Mangement

Research output: Contribution to journal › Journal Article › peer-review

32 Scopus citations

Abstract

Fuzzy relational inequalities with addition–min composition have been proposed to model the data transmission mechanism in a BitTorrent-like peer-to-peer file-sharing system. In this paper, we consider a multiple objective optimization problem which allows system manager to consider three objectives (system congestion, cost, and penalty) simultaneously. A quadratic program is then proposed for finding its efficient solutions. Numerical examples are given to illustrate the procedures of the quadratic programming approach.

Original language	English
Pages (from-to)	529-544
Number of pages	16
Journal	Fuzzy Optimization and Decision Making
Volume	18
Issue number	4
DOIs	https://doi.org/10.1007/s10700-019-09306-8
State	Published - 01 12 2019

Bibliographical note

Publisher Copyright:
© 2019, Springer Science+Business Media, LLC, part of Springer Nature.

Keywords

Addition–min composition
Cost of transmission
Fuzzy relational inequalities
Network congestion
Penalty cost
Quadratic programming approach

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10.1007/s10700-019-09306-8

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KW - Network congestion

KW - Penalty cost

KW - Quadratic programming approach

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Multiple objective optimization for systems with addition–min fuzzy relational inequalities

Abstract

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Keywords

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