TY - JOUR
T1 - Identification of redundant objective functions in multi-objective stochastic fractional programming problems
AU - Charles, V.
AU - Dutta, D.
PY - 2006/6
Y1 - 2006/6
N2 - 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.
AB - 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.
KW - Fractional programming
KW - Multi-objective programming
KW - Redundancy
KW - Stochastic programming
UR - http://www.scopus.com/inward/record.url?scp=33746059770&partnerID=8YFLogxK
U2 - 10.1142/S0217595906000863
DO - 10.1142/S0217595906000863
M3 - Article
AN - SCOPUS:33746059770
SN - 0217-5959
VL - 23
SP - 155
EP - 170
JO - Asia-Pacific Journal of Operational Research
JF - Asia-Pacific Journal of Operational Research
IS - 2
ER -