[
AHMAD, I. (2003) optimality conditions and duality in fractional minimax programming Involving generalized ρ-invexity. internat. J. Manag. Syst. 19, 165–180.
]Search in Google Scholar
[
AHMAD, I. and HUSAIN, Z. (2006) optimality conditions and duality in non-differentiable Minimax fractional programming with generalized convexity. J. Optim. Theory Appl. 129(2), 255–275.10.1007/s10957-006-9057-0
]Search in Google Scholar
[
AUBIN, J.P. (1981) Contingent derivatives of set-valued maps and existence of solutions to nonlinear inclusions and differential inclusions. In: L. Nachbin (ed.), Mathematical Analysis and Applications, Part A. Academic Press, New York, 160–229.
]Search in Google Scholar
[
AUBIN, J.P. and FRANKOWSKA, H. (1990) Set-Valued Analysis. Birhäuser, Boston.
]Search in Google Scholar
[
AVRIEL, M. (1976) Nonlinear Programming: Theory and Method. Prentice-Hall, Englewood Cliffs, New Jersey.
]Search in Google Scholar
[
BECTOR, C.R. and BHATIA, B.L. (1985) Sufficient optimality conditions and duality for a minmax problem. Util. Math. 27, 229–247.
]Search in Google Scholar
[
BORWEIN, J. (1977) Multivalued convexity and optimization: a unified approach to inequality and equality constraints. Math. Program. 13(1), 183–199.10.1007/BF01584336
]Search in Google Scholar
[
CAMBINI, A., MARTEIN, L. and VLACH, M. (1999) Second order tangent sets and optimality conditions. Math. Japonica 49(3), 451–461.
]Search in Google Scholar
[
CHANDRA, S. and KUMAR, V. (1995) Duality in fractional minimax programming. J. Austral. Math. Soc. (Ser. A.) 58, 376–386.
]Search in Google Scholar
[
CORLEY, H.W. (1987) Existence and Lagrangian duality for maximizations of set-valued functions. J. Optim. Theory Appl. 54(3), 489–501.10.1007/BF00940198
]Search in Google Scholar
[
DAS, K. and NAHAK, C. (2014) Sufficient optimality conditions and duality theorems for set-valued optimization problem under generalized cone convexity. Rend. Circ. Mat. Palermo 63(3), 329–345.10.1007/s12215-014-0163-9
]Search in Google Scholar
[
DAS, K. and NAHAK, C. (2016a) Optimality conditions for approximate quasi efficiency in set-valued equilibrium problems. SeMA J. 73(2), 183–199.10.1007/s40324-016-0063-3
]Search in Google Scholar
[
DAS, K. and NAHAK, C. (2016b) Set-valued fractional programming problems under generalized cone convexity. Opsearch 53(1), 157–177.10.1007/s12597-015-0222-9
]Search in Google Scholar
[
DAS, K. and NAHAK, C. (2017a) Approximate quasi efficiency of set-valued optimization problems via weak subdifferential. SeMA J. 74(4), 523–542.10.1007/s40324-016-0099-4
]Search in Google Scholar
[
DAS, K. and NAHAK, C. (2017b) Set-valued minimax programming problems under generalized cone convexity. Rend. Circ. Mat. Palermo 66(3), 361–374.10.1007/s12215-016-0258-6
]Search in Google Scholar
[
DAS, K. and NAHAK, C. (2020a) Optimality conditions for set-valued minimax fractional programming problems. SeMA J. 77(2), 161–179.10.1007/s40324-019-00209-7
]Search in Google Scholar
[
DAS, K. and NAHAK, C. (2020b) Optimality conditions for set-valued minimax programming problems via second-order contingent epiderivative. J. Sci. Res. 64(2), 313–321.10.37398/JSR.2020.640243
]Search in Google Scholar
[
FU, J. and WANG, Y. (2003) Arcwise connected cone-convex functions and mathematical programming. J. Optim. Theory Appl. 118(2), 339–352.10.1023/A:1025451422581
]Search in Google Scholar
[
JAHN, J. and RAUH, R. (1997) Contingent epiderivatives and set-valued optimization. Math. Method Oper. Res. 46(2), 193–211.10.1007/BF01217690
]Search in Google Scholar
[
LAI, H.C. and LEE, J.C. (2002) On duality theorems for nondifferentiable minimax fractional programming. J. Comput. Appl. Math. 146, 115–126.
]Search in Google Scholar
[
LAI, H.C., LIU, J.C. and TANAKA, K. (1999) Necessary and sufficient conditions for minimax fractional programming. J. Math. Anal. Appl. 230, 311–328.
]Search in Google Scholar
[
LALITHA, C., DUTTA, J. and GOVIL, M.G. (2003) Optimality criteria in set-valued optimization. J. Aust. Math. Soc. 75(2), 221–232.10.1017/S1446788700003736
]Search in Google Scholar
[
LIANG, Z.A. and SHI, Z.W. (2003) Optimality conditions and duality for minimax fractional programming with generalized convexity. J. Math. Anal. Appl. 277, 474–488.
]Search in Google Scholar
[
LIU, J.C. and WU, C.S. (1998) On minimax fractional optimality conditions with (F, ρ)-convexity. J. Math. Anal. Appl. 219, 36–51.
]Search in Google Scholar
[
MISHRA, S.K. (1995) Pseudolinear fractional minmax programming. Indian J. Pure Appl. Math. 26, 763–772.
]Search in Google Scholar
[
MISHRA, S.K. (1998) Generalized pseudo convex minmax programming. Opsearch 35(1), 32–44.10.1007/BF03398537
]Search in Google Scholar
[
MISHRA, S.K. (2001) Pseudoconvex complex minimax programming. Indian J. Pure Appl. Math. 32(2), 205–214.
]Search in Google Scholar
[
MISHRA, S.K., WANG, S.Y. and LAI, K.K. (2004) Complex minimax programming under generalized convexity. J. Comput. Appl. Math. 167(1), 59–71.10.1016/j.cam.2003.09.045
]Search in Google Scholar
[
MISHRA, S.K., WANG, S.Y., LAI, K.K. and SHI, J.M. (2003) Nondifferentiable minimax fractional programming under generalized univexity. J. Comput. Appl. Math. 158(2), 379–395.10.1016/S0377-0427(03)00455-2
]Search in Google Scholar
[
PENG, Z. and XU, Y. (2018) Second-order optimality conditions for cone-subarcwise connected set-valued optimization problems. Acta Math. Appl. Sin. Engl. Ser. 34(1), 183–196.10.1007/s10255-018-0738-x
]Search in Google Scholar
[
TREANTA, S. and DAS, K. (2021) On robust saddle-point criterion in optimization problems with curvilinear integral functionals. Mathematics 9(15), 1–13.
]Search in Google Scholar
[
WEIR, T. (1992) Pseudoconvex minimax programming. Util. Math. 42, 234–240.
]Search in Google Scholar
[
YADAV, S.R. and MUKHERJEE, R.N. (1990) Duality for fractional minimax programming problems. J. Austral. Math. Soc. (Ser. B.) 31, 484–492.
]Search in Google Scholar
[
YIHONG, X. and MIN, L. (2016) Optimality conditions for weakly efficient elements of set-valued optimization with α-order near cone-arcwise connectedness. J. Systems Sci. Math. Sci. 36(10), 1721–1729.
]Search in Google Scholar
[
YU, G. (2013) Optimality of global proper efficiency for cone-arcwise connected set-valued optimization using contingent epiderivative. Asia-Pac. J. Oper. Res. 30(03), 1340004.10.1142/S0217595913400046
]Search in Google Scholar
[
YU, G. (2016) Global proper efficiency and vector optimization with cone-arcwise connected set-valued maps. Numer. Algebra, Control & Optim. 6(1), 35–44.10.3934/naco.2016.6.35
]Search in Google Scholar
[
ZALMAI, G.J. (1987) Optimality criteria and duality for a class of minimax programming problems with generalized invexity conditions. Util. Math. 32, 35–57.
]Search in Google Scholar