Geodesic
Strong Complementary Approximate Karush-Kuhn-Tucker Conditions for Multiobjective Optimization Problems
Yugoslav journal of operations research, Tome 32 (2022) no. 2, p. 219

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In this paper, we establish strong complementary approximate KarushKuhn-Tucker (SCAKKT) sequential optimality conditions for multiobjective optimization problems with equality and inequality constraints without any constraint qualifications and introduce a weak constraint qualification which assures the equivalence between SCAKKT and the strong Karush-Kuhn-Tucker (J Optim Theory Appl 80 (3): 483–500, 1994) conditions for multiobjective optimization problems
Classification : 90C26, 90C30, 90C46
Keywords: Multiobjective Programming, Approximate Karush-Kuhn-Tucker Conditions, Nonlinear Programming, Sequential Optimality Conditions 
Jitendra Kumar Maurya; Shashi Kant Mishra. Strong Complementary Approximate Karush-Kuhn-Tucker Conditions for Multiobjective Optimization Problems. Yugoslav journal of operations research, Tome 32 (2022) no. 2, p. 219 . http://geodesic.mathdoc.fr/item/YJOR_2022_32_2_a5/
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     title = {Strong {Complementary} {Approximate} {Karush-Kuhn-Tucker} {Conditions} for {Multiobjective} {Optimization} {Problems}},
     journal = {Yugoslav journal of operations research},
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