IDENTIFICATION OF REDUNDANT OBJECTIVE FUNCTIONS IN MULTI-OBJECTIVE STOCHASTIC FRACTIONAL PROGRAMMING PROBLEMS

V. Charles () and D. Dutta ()
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V. Charles: Department of Quantitative Methods and Operations Research, SDM Institute for Management Development, Mysore, Karnataka, India 570 011, India
D. Dutta: Department of Mathematics and Humanities, National Institute of Technology — Warangal, Andhra Pradesh, India 506 004, India

Asia-Pacific Journal of Operational Research (APJOR), 2006, vol. 23, issue 02, 155-170

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.

Keywords: Stochastic programming; fractional programming; multi-objective programming; redundancy (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0217595906000863

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