Characterizations of solution sets for parametric multiobjective optimization problems

DOI10.1080/00036811.2012.742186zbMath1315.90043OpenAlexW1983561071WikidataQ58137751 ScholiaQ58137751MaRDI QIDQ5404675

Zhe Chen

Publication date: 28 March 2014

Published in: Applicable Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00036811.2012.742186

zbMATH Keywords

compactnessasymptotic analysisnonemptinessweak Pareto optimal solutionparametric multiobjective optimization

Mathematics Subject Classification ID

Convex programming (90C25) Multi-objective and goal programming (90C29) Variational inequalities (49J40) Sensitivity, stability, parametric optimization (90C31) Programming in abstract spaces (90C48)

Related Items (1)

On approximate quasi Pareto solutions in nonsmooth semi-infinite interval-valued vector optimization problems

Cites Work

• Unnamed Item
• Clarke coderivatives of efficient point multifunctions in parametric vector optimization
• Theory of multiobjective optimization
• Characterizations of the nonemptiness and compactness of solution sets in convex vector optimization
• Ideal, weakly efficient solutions for vector optimization problems
• Primal and dual stability results for variational inequalities
• A Hybrid Extragradient-Viscosity Method for Monotone Operators and Fixed Point Problems
• Monotone Operators and the Proximal Point Algorithm
• Asymptotic Analysis for Penalty and Barrier Methods in Variational Inequalities
• Noncoercive Optimization Problems
• Variational Analysis
• Characterizations of nonemptiness and compactness of the set of weakly efficient solutions for convex vector optimization and applications

This page was built for publication: Characterizations of solution sets for parametric multiobjective optimization problems