Minimax mixed integer symmetric duality for multiobjective variational problems

  • I. Ahmad*
  • , Z. Husain
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

A Mond-Weir type multiobjective variational mixed integer symmetric dual program over arbitrary cones is formulated. Applying the separability and generalized F-convexity on the functions involved, weak, strong and converse duality theorems are established. Self duality theorem is proved. A close relationship between these variational problems and static symmetric dual minimax mixed integer multiobjective programming problems is also presented.

Original languageEnglish
Pages (from-to)71-82
Number of pages12
JournalEuropean Journal of Operational Research
Volume177
Issue number1
DOIs
StatePublished - 16 Feb 2007
Externally publishedYes

Keywords

  • Efficient solutions
  • Generalized F-convexity
  • Mixed integer programming
  • Multiobjective symmetric duality
  • Variational problem

ASJC Scopus subject areas

  • General Computer Science
  • Modeling and Simulation
  • Management Science and Operations Research
  • Information Systems and Management
  • Industrial and Manufacturing Engineering

Fingerprint

Dive into the research topics of 'Minimax mixed integer symmetric duality for multiobjective variational problems'. Together they form a unique fingerprint.

Cite this