TY - JOUR
T1 - Optimality conditions for multiple objective fractional subset programming with (, ρ,σ,θ )-V-type-I and related non-convex functions
AU - Mishra, S. K.
AU - Wang, S. Y.
AU - Lai, K. K.
PY - 2008/10
Y1 - 2008/10
N2 - In this paper, we introduce a new class of generalized convex n-set functions, called ({A figure is presented}, ρ,σ,θ)-V-Type-I and related non-convex functions, and then establish a number of parametric and semi-parametric sufficient optimality conditions for the primal problem under the aforesaid assumptions. This work partially extends an earlier work of [G.J. Zalmai, Efficiency conditions and duality models for multiobjective fractional subset programming problems with generalized ({A figure is presented}, α, ρ, θ)-V-convex functions, Comput. Math. Appl. 43 (2002) 1489-1520] to a wider class of functions. © 2008 Elsevier Ltd. All rights reserved.
AB - In this paper, we introduce a new class of generalized convex n-set functions, called ({A figure is presented}, ρ,σ,θ)-V-Type-I and related non-convex functions, and then establish a number of parametric and semi-parametric sufficient optimality conditions for the primal problem under the aforesaid assumptions. This work partially extends an earlier work of [G.J. Zalmai, Efficiency conditions and duality models for multiobjective fractional subset programming problems with generalized ({A figure is presented}, α, ρ, θ)-V-convex functions, Comput. Math. Appl. 43 (2002) 1489-1520] to a wider class of functions. © 2008 Elsevier Ltd. All rights reserved.
KW - Generalized n-set convex functions
KW - Multiple objective fractional subset programming
KW - Optimality conditions
UR - http://www.scopus.com/inward/record.url?scp=49749120042&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-49749120042&origin=recordpage
U2 - 10.1016/j.mcm.2007.12.018
DO - 10.1016/j.mcm.2007.12.018
M3 - RGC 21 - Publication in refereed journal
SN - 0895-7177
VL - 48
SP - 1201
EP - 1212
JO - Mathematical and Computer Modelling
JF - Mathematical and Computer Modelling
IS - 7-8
ER -