Image space analysis to Lagrange-type duality for constrained vector optimization problems with applications
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Publication:1670128
DOI10.1007/s10957-016-1027-6zbMath1401.49045OpenAlexW2533394792MaRDI QIDQ1670128
Publication date: 4 September 2018
Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10957-016-1027-6
vector optimizationimage space analysisexact penalizationLagrange-type dualityimage regularity condition
Nonlinear programming (90C30) Optimality conditions and duality in mathematical programming (90C46) Duality theory (optimization) (49N15)
Related Items (10)
Constrained extremum problems and image space analysis. I: Optimality conditions ⋮ Vector topical function, abstract convexity and image space analysis ⋮ Constrained extremum problems, regularity conditions and image space analysis. II: The vector finite-dimensional case ⋮ Robust duality for nonconvex uncertain vector optimization via a general scalarization ⋮ Optimality Conditions for Multiobjective Optimization Problems via Image Space Analysis ⋮ Robustness characterizations for uncertain optimization problems via image space analysis ⋮ Conjugate Duality for Constrained Vector Optimization in Abstract Convex Frame ⋮ Optimality conditions for vector optimization problems with non-cone constraints in image space ⋮ Characterizations of multiobjective robustness on vectorization counterparts ⋮ A unified approach through image space analysis to robustness in uncertain optimization problems
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