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

Sy Ming Guu, Yan Kuen Wu*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

30 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 languageEnglish
Pages (from-to)529-544
Number of pages16
JournalFuzzy Optimization and Decision Making
Volume18
Issue number4
DOIs
StatePublished - 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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