English, Article edition: IDENTIFICATION OF REDUNDANT OBJECTIVE FUNCTIONS IN MULTI-OBJECTIVE STOCHASTIC FRACTIONAL PROGRAMMING PROBLEMS V. CHARLES; D. DUTTA

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Bookmark: http://trove.nla.gov.au/version/131568
Physical Description
  • article
Language
  • English

Edition details

Title
  • IDENTIFICATION OF REDUNDANT OBJECTIVE FUNCTIONS IN MULTI-OBJECTIVE STOCHASTIC FRACTIONAL PROGRAMMING PROBLEMS
Author
  • V. CHARLES
  • D. DUTTA
Physical Description
  • article
Notes
  • 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.
  • Stochastic programming, fractional programming, multi-objective programming, redundancy
  • RePEc:wsi:apjorx:v:23:y:2006:i:02:p:155-170
Language
  • English
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