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On duality theory in multiobjective programming
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bf00933437openalex-snapshot
Duality theory in multiobjective programming
inferredcites →https://doi.org/10.1007/bf00934473openalex-snapshot
Conjugate maps and duality in multiobjective optimization
inferredcites →https://doi.org/10.1007/bf00934908openalex-snapshot
Duality for nonlinear multiple-criteria optimization problems
inferredcites →https://doi.org/10.1016/0022-247x(81)90188-8openalex-snapshot
Duality theory for maximizations with respect to cones
inferredcites →https://doi.org/10.1049/sqj.1970.0088openalex-snapshot
Optimization by Vector Space Methods
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Nonlinear Multiobjective Programming
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Sensitivity Analysis for Convex Multiobjective Programming in Abstract Spaces
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Duality in Nondifferentiable Vector Programming
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Nonlinear Multiobjective Programming
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Duality in Multiobjective Optimization Problems with Set Constraints
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Second Order Necessary Optimality Conditions for a Class of Optimization Problem in Banach Spaces
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Optimality Conditions for a Class of Major Constraints Nonsmooth Multi-objective Programming Problems
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Optimality Conditions and Image Space Analysis for Vector Optimization Problems
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Epsilon Solutions and Duality in Vector Optimization
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Duality in Multiobjective Fractional Programming
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An Approach to Lagrangian Duality in Vector Optimization
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Approximate saddle-point theorems in vector optimization
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Upper-semi-continuity and cone-concavity of multi-valued vector functions in a duality theory for vector optimization
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Continuity properties of cone-convex functions
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Theorems of the alternative and their applications in multiobjective optimization
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Pareto-based negotiation in distributed multidisciplinary design
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A survey of recent developments in multiobjective optimization
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Multiplier Rules and Saddle-Point Theorems for Helbig’s Approximate Solutions in Convex Pareto Problems
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On G-invex multiobjective programming. Part II. Duality
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Duality related to approximate proper solutions of vector optimization problems
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Generalized Motzkin Theorems of the Alternative and Vector Optimization Problems
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A Duality Theory for Set-Valued Functions I: Fenchel Conjugation Theory
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On the Fritz John saddle point problem for differentiable multiobjective optimization
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A saddlepoint theorem for set-valued maps
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Duality theory for infinite-dimensional multiobjective linear programming
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Vector continuous-time programming without differentiability
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Scalarization and saddle points of approximate proper solutions in nearly subconvexlike vector optimization problems
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Sur la propriété de domination et l'existence de points Pareto-efficaces en optimisation vectorielle convexe
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Sur la dualité en optimisation vectorielle convexe
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Fritz John's type conditions and associated duality forms in convex non differentiable vector-optimization
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Axiomatic approach to duality in optimization
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Necessary and sufficient conditions for weak efficiency in non-smooth vectorial optimization problems
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Selection of Efficient Points
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Convexity and closedness of sets with respect to cones
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On the characterization of efficient points by means of monotone functionals
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Duality Theorems of Multiobjective Programming for a Class of Generalized Convex Functions
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