Robust nonsmooth optimality conditions for multiobjective optimization problems with infinitely many uncertain constraints
DOI10.1080/02331934.2022.2046740zbMath1522.90254OpenAlexW4220840064MaRDI QIDQ6169209
Sheng Jie Li, Chun-Rong Chen, Unnamed Author
Publication date: 14 August 2023
Published in: Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331934.2022.2046740
KKT robust optimality conditionsmultiple interval-valued objectivesrobust infinite constraintsuncertain multiple objectives
Nonparametric robustness (62G35) Multi-objective and goal programming (90C29) Optimality conditions and duality in mathematical programming (90C46) Optimality conditions for free problems in two or more independent variables (49K10)
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Cites Work
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- Minmax robustness for multi-objective optimization problems
- KKT optimality conditions in interval valued multiobjective programming with generalized differentiable functions
- An alternative optimization technique for interval objective constrained optimization problems via multiobjective programming
- A class of nonsmooth fractional multiobjective optimization problems
- New efficiency conditions for multiobjective interval-valued programming problems
- On optimality and duality for nonsmooth multiobjective fractional optimization problems
- Generalized gradients of Lipschitz functionals
- Multiobjective programming in optimization of interval objective functions -- a generalized approach
- Dominance for multi-objective robust optimization concepts
- On nonsmooth robust multiobjective optimization under generalized convexity with applications to portfolio optimization
- On optimality conditions and duality theorems for robust semi-infinite multiobjective optimization problems
- A unified characterization of multiobjective robustness via separation
- Optimality conditions and duality results for nonsmooth vector optimization problems with the multiple interval-valued objective function
- A unified approach to uncertain optimization
- Robust necessary optimality conditions for nondifferentiable complex fractional programming with uncertain data
- Karush-Kuhn-Tucker optimality conditions and duality for convex semi-infinite programming with multiple interval-valued objective functions
- Optimality conditions for a nonsmooth uncertain multiobjective programming problem
- The Karush-Kuhn-Tucker optimality conditions in multiobjective programming problems with interval-valued objective functions
- Optimality conditions and duality for robust nonsmooth multiobjective optimization problems with constraints
- Characterizations of multiobjective robustness via oriented distance function and image space analysis
- Fuzzy preference ordering of interval numbers in decision problems
- A unified approach for different concepts of robustness and stochastic programming via non-linear scalarizing functionals
- Theory and Applications of Robust Optimization
- Semi-Infinite Programming: Theory, Methods, and Applications
- Optimization and nonsmooth analysis
- Mathematical methods of game and economic theory
- Characterizations of set relations with respect to variable domination structures via oriented distance function
- Generalized robust duality in constrained nonconvex optimization
- Robust Optimality and Duality in Multiobjective Optimization Problems under Data Uncertainty
- Characterizations of robust optimality conditions via image space analysis
- Subdifferentials of Nonconvex Supremum Functions and Their Applications to Semi-infinite and Infinite Programs with Lipschitzian Data
- Optimality and duality for robust multiobjective optimization problems
- Robustness for uncertain multi-objective optimization: a survey and analysis of different concepts
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