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

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

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Article ID: iaor20072065
Country: Singapore
Volume: 23
Issue: 2
Start Page Number: 155
End Page Number: 170
Publication Date: Jun 2006
Journal: Asia-Pacific Journal of Operational Research
Authors: ,
Keywords: programming: multiple criteria, programming: probabilistic
Abstract:

Redundancy in constraints and variables is 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.

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