Image space analysis for constrained inverse vector variational inequalities via multiobjective optimization

DOI10.1007/s10957-017-1197-xzbMath1398.49006OpenAlexW2770609612MaRDI QIDQ1670133

Jen-Chih Yao, Elisabeth Köbis, Markus A. Köbis, Jia-wei Chen

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/s10957-017-1197-x

zbMATH Keywords

optimality conditionsmultiobjective optimizationimage space analysisnonlinear separation functioninverse vector variational inequalities

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Variational inequalities (49J40) Applications of optimal control and differential games (49N90) Optimality conditions for free problems in one independent variable (49K05)

Related Items (8)

Characterizations of multiobjective robustness via oriented distance function and image space analysis ⋮ Robustness characterizations for uncertain optimization problems via image space analysis ⋮ Characterizations of robust optimality conditions via image space analysis ⋮ Unnamed Item ⋮ Nonlinear separation methods and applications for vector equilibrium problems using improvement sets ⋮ Nonlinear separation approach to inverse variational inequalities in real linear spaces ⋮ Image space analysis for uncertain multiobjective optimization problems: robust optimality conditions ⋮ Optimality conditions for efficient solutions of nonconvex constrained multiobjective optimization problems via image space analysis

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Image space analysis for variational inequalities with cone constraints and applications to traffic equilibria
• Vector variational-like inequalities with constraints: separation and alternative
• Nonconvex separation theorems and some applications in vector optimization
• Dynamic power price problem: An inverse variational inequality approach
• Semidifferentiable functions and necessary optimality conditions
• Variational methods in partially ordered spaces
• Theorems of the alternative and optimality conditions
• Nonlinear separation approach to constrained extremum problems
• Levitin-Polyak well-posedness by perturbations of inverse variational inequalities
• Gap functions and error bounds for inverse quasi-variational inequality problems
• Solving a class of constrained `black-box' inverse variational inequalities
• On set-valued optimization problems with variable ordering structure
• Tikhonov regularization methods for inverse variational inequalities
• A generalized \(f\)-projection algorithm for inverse mixed variational inequalities
• Constrained optimization and image space analysis. Vol. 1: Separation of sets and optimality conditions
• On vector implicit variational inequalities and complementarity problems
• Dual variational inequalities
• Nonlinear separation approach to inverse variational inequalities
• Existence of solutions of inverted variational inequalities
• Inverse Variational Inequality Approach and Applications
• Local and Global Consumer Preferences
• Tangent Cones, Generalized Gradients and Mathematical Programming in Banach Spaces
• Degrees of Efficiency and Degrees of Minimality
• A fast sweeping method for Eikonal equations
• The concave nontransitive consumer

This page was built for publication: Image space analysis for constrained inverse vector variational inequalities via multiobjective optimization