| 1 |
M.H. Kim, On linearized vector optimization problems with proper efficiency, J. Appl. Math. & Informatics 27(2009), 685-692.
과학기술학회마을
|
| 2 |
Marko M. Makela and Pekka Neittaanmaki, Nonsmooth Optimization: Analysis and Algorithms with Applications to Optimal Control, World Scientific Publishing Co. Pte. Ltd.,1992.
|
| 3 |
R.T. Rockafellar, Convex Analysis, Princeton, New Jersey, Princeton University Press, 1970.
|
| 4 |
T. Weir, B. Mond, B.D. Craven, 0n duality for weakly minimized vector valued optimization problems, Optimization 17(1986), 711-721.
DOI
ScienceOn
|
| 5 |
G. Giorgi, A. Guerraggi, Various types of nonsmooth invexity, J. Inform. Optim. Sci. 17(1996), 137-150.
|
| 6 |
V. Jeyakumar, B. Mond, On generalised convex mathematical programming, J. Austral Math. Soc. Ser. B 34(1992), 43-53.
DOI
|
| 7 |
M.A. Hanson, 0n sufficiency of the Kuhn-Tucker conditions, J. Math. Anal. Appl. 80(1981), 545-550.
DOI
|
| 8 |
X.X. Huang, X.Q. Yang, 0n charactenzations of proper efficiency for nonconvex multiobjective optimization, J. Global Optimization 23(2002), 213-231.
DOI
ScienceOn
|
| 9 |
H. Isermann, Proper efficiency and linear vector maximum problem, Oper. Res. 22(1974), 189-191.
DOI
ScienceOn
|
| 10 |
D. S. Kim, Multiobjective fractional programming with a modified objective function, Commun. Korean Math. Soc. 20(2005), 837-847.
과학기술학회마을
DOI
ScienceOn
|
| 11 |
G.M. Lee, Optimality conditions in multiobejctive optimization problems, J. Inform. Optim. Sci. 13(1993), 39-41.
|
| 12 |
Lun Li and Jun Li, Equivalence and existence of weak Pareto optima for multiobjective optimization problems with cone constraints, Appl. Math. Lett. 21(2008), 599-606.
DOI
ScienceOn
|
| 13 |
S. Brumelle, Duality for multiple objective convex programs, Math. Oper. Res. 6(1981), 159-172.
DOI
ScienceOn
|
| 14 |
T. Antczak, A new approach to multiobjective progmmming with a modified objective function, J. Global Optimization 27(2003), 485-495.
DOI
ScienceOn
|
| 15 |
T. Antczak, An n-appmximation appmach for nonlinear mathematical pmgmmming pmblems involving invex functions, Num. Functional Anal. Optimization 25(2004), 423-438.
DOI
ScienceOn
|
| 16 |
T. Antczak, An n-appmximation method in nonlinear vector optimization, Nonlinear Analysis 63(2005), 225-236.
DOI
ScienceOn
|
| 17 |
F.H. Clarke, Optimization and Nonsmooth Analysis, Wiley-Interscience, New York, 1983.
|
| 18 |
B.D. Craven, Invex functions and constrained local minima, Bull. Aust. Math. Soc. 24(1981), 357-366.
DOI
|
| 19 |
B.D. Craven, Quasimin and quasi saddle point for vector optimization, Num. Functional Anal. Optimization 11(1990), 45-54.
DOI
ScienceOn
|
| 20 |
A. M. Geoffrion, Proper efficiency and the theory of vector maximization, J. Math. Anal. Appl. 22(1968), 618-630.
|
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