Scalarization of constraints system in some vector optimization problems and applications
From MaRDI portal
Publication:476267
DOI10.1007/s11590-013-0690-xzbMath1326.90076OpenAlexW1992155926MaRDI QIDQ476267
Publication date: 28 November 2014
Published in: Optimization Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11590-013-0690-x
Related Items (7)
Vectorial penalization for generalized functional constrained problems ⋮ Unified vector quasiequilibrium problems via improvement sets and nonlinear scalarization with stability analysis ⋮ Optimality Conditions for Approximate Pareto Minimality ⋮ Nonlinear scalarization with applications to Hölder continuity of approximate solutions ⋮ Minimal time function with respect to a set of directions: basic properties and applications ⋮ On set-valued optimization problems with variable ordering structure ⋮ A New Type of Directional Regularity for Mappings and Applications to Optimization
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- An approximate exact penalty in constrained vector optimization on metric spaces
- Variational analysis of directional minimal time functions and applications to location problems
- Openness stability and implicit multifunction theorems: applications to variational systems
- The exact penalty principle
- Scalar multiplier rules in set-valued optimization
- Necessary optimality conditions for weak sharp minima in set-valued optimization
- Computation formulas and multiplier rules for graphical derivatives in separable Banach spaces
- Proto-differentiability of set-valued mappings and its applications in optimization
- Variational methods in partially ordered spaces
- On parametric vector optimization via metric regularity of constraint systems
- Scalar Lagrange multiplier rules for set-valued problems in infinite-dimensional spaces
- Calculus of tangent sets and derivatives of set-valued maps under metric subregularity conditions
- On some Fermat rules for set-valued optimization problems
- Lipschitz properties of the scalarization function and applications
- Fuzzy necessary optimality conditions for vector optimization problems
- Optimization and nonsmooth analysis
- Set-valued analysis
This page was built for publication: Scalarization of constraints system in some vector optimization problems and applications