Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/2036
Title: IDENTIFICATION OF REDUNDANT OBJECTIVE FUNCTIONS IN MULTI-OBJECTIVE STOCHASTIC FRACTIONAL PROGRAMMING PROBLEMS
Authors: Charles, V.;
Dutta, D.
Keywords: Stochastic programming
fractional programming
Issue Date: 2006
Publisher: Asia-Pacific Journal of Operational Research
Citation: 10.1142/S0217595906000863
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
Description: NITW
URI: http://localhost:8080/xmlui/handle/123456789/2036
Appears in Collections:Mathematics

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