Image space analysis and scalarization for \(\varepsilon \)-optimization of multifunctions
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Publication:365659
DOI10.1007/s10957-010-9657-6zbMath1292.90265OpenAlexW2465233026MaRDI QIDQ365659
Publication date: 9 September 2013
Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10957-010-9657-6
Related Items (7)
Stability of set-valued optimization problems with naturally quasi-functions ⋮ Nonlinear separation in the image space with applications to constrained optimization ⋮ Lagrangian conditions for approximate solutions on nonconvex set-valued optimization problems ⋮ Scalarization of set-valued optimization problems with generalized cone subconvexlikeness in real ordered linear spaces ⋮ On optimization problems with set-valued objective maps: existence and optimality ⋮ Scalarizations and optimality of constrained set-valued optimization using improvement sets and image space analysis ⋮ A new approach to constrained optimization via image space analysis
Cites Work
- Characterizations of preinvex and prequasiinvex set-valued maps
- Set-valued increasing-along-rays maps and well-posed set-valued star-shaped optimization
- Image space analysis and scalarization of multivalued optimization
- \(\epsilon\)-solutions in vector minimization problems
- Epsilon efficiency
- Ekeland's \(\varepsilon\)-variational principle for set-valued mappings
- Regularity conditions for constrained extremum problems via image space
- Characterizations of convex and quasiconvex set-valued maps
- Theorems of the alternative and optimality conditions
- A property of efficient and \(\varepsilon\)-efficient solutions in vector optimization
- Constrained optimization and image space analysis. Vol. 1: Separation of sets and optimality conditions
- ∊-STRICTLY EFFICIENT SOLUTIONS OF VECTOR OPTIMIZATION PROBLEMS WITH SET-VALUED MAPS
- A nonconvex vector minimization problem
- A characterization of quasiconvex vector-valued functions
- A Unified Approach and Optimality Conditions for Approximate Solutions of Vector Optimization Problems
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