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Identification of redundant objective functions in multi-objective stochastic fractional programming problems

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Redundancy in constraints and variables are usually studied in linear, integer and non-linear programming problems. However, main emphasis has so far been given only to linear programming problems. In this paper, an algorithm that identifies redundant objective functions in multi-objective stochastic fractional programming problems is provided. A solution procedure is also illustrated. This reduces the number of objective functions in cases where redundant objective functions exist.

Original languageEnglish
Pages (from-to)155-170
Number of pages16
JournalAsia-Pacific Journal of Operational Research
Volume23
Issue number2
DOIs
StatePublished - Jun 2006
Externally publishedYes

Keywords

  • Fractional programming
  • Multi-objective programming
  • Redundancy
  • Stochastic programming

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