Sensitivity of Pareto solutions in multiobjective optimization

DOI10.1007/s10957-005-4713-3zbMath1129.90355OpenAlexW2163580726MaRDI QIDQ852108

Efim A. Galperin, Alejandro Balbas, Pedro Jiménez Guerra

Publication date: 27 November 2006

Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10016/13056

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Sensitivity, stability, parametric optimization (90C31)

Related Items (3)

Green scheduling of a two-machine flowshop: trade-off between makespan and energy consumption ⋮ Good deals and benchmarks in robust portfolio selection ⋮ Nonconvex optimization for pricing and hedging in imperfect markets

Cites Work

• Unnamed Item
• Unnamed Item
• Nonscalarized multiobjective global optimization
• Pareto analysis vis-à-vis balance space approach in multiobjective global optimization
• Equivalence of balance points and Pareto solutions in multiple-objective programming
• Balance space in airport construction: Application to the North Sea island option for Schiphol Airport
• Radial solutions and orthogonal trajectories in multiobjective global optimization
• Sensitivity analysis in vector optimization
• Sensitivity analysis for convex multiobjective programming in abstract spaces
• Retrieval and use of the balance set in multiobjective global optimization
• Optimization of vector functionals. I. The programming of optimal trajectories
• On the existence of solutions in problems of optimization under vector- valued criteria
• Cone convexity, cone extreme points, and nondominated solutions in decision problems with multiobjectives
• Multiple Objective Linear Programming with Parametric Criteria Coefficients
• Linear Multiple Objective Problems with Interval Coefficients
• Duality of nonscalarized multiobjective linear programs: dual balance, level sets, and dual clusters of optimal vectors.

This page was built for publication: Sensitivity of Pareto solutions in multiobjective optimization