Robust goal programming using different robustness echelons via norm-based and ellipsoidal uncertainty sets

DOI10.1016/j.ejor.2017.03.072zbMath1375.90273OpenAlexW2598283809MaRDI QIDQ1683090

Brian J. Lunday, Robert W. Hanks, Jeffery D. Weir

Publication date: 6 December 2017

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2017.03.072

zbMATH Keywords

multi-objective optimizationgoal programmingnonlinear programmingrobust optimizationuncertainty modeling

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Nonlinear programming (90C30) Sensitivity, stability, parametric optimization (90C31)

Related Items (2)

Operations research for sustainability assessment of products: a review ⋮ Robust data envelopment analysis via ellipsoidal uncertainty sets with application to the Italian banking industry

Uses Software

• BARON
• AMPL
• NEOS

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Survey of multi-objective optimization methods for engineering
• Robust linear optimization under general norms.
• Goal programming and multiple objective optimizations. Part I
• Multiple objective decision making - methods and applications. A state- of-the-art survey. In collaboration with Sudhakar R. Paidy and Kwangsun Yoon
• Robust solutions of uncertain linear programs
• A goal programming model of the reference point method
• Robust discrete optimization and network flows
• Robust solutions of linear programming problems contaminated with uncertain data
• A polyhedral branch-and-cut approach to global optimization
• Robust strategies for facility location under uncertainty
• Recent advances in robust optimization: an overview
• A multi-step goal programming approach for group decision making with incomplete interval additive reciprocal comparison matrices
• Robust Convex Optimization
• Optimal Estimation of Executive Compensation by Linear Programming
• Management Models and Industrial Applications of Linear Programming
• Theory and Applications of Robust Optimization
• The Price of Robustness
• Robust Solutions to Uncertain Semidefinite Programs
• Robust Solutions to Least-Squares Problems with Uncertain Data
• Robust Optimization of Large-Scale Systems
• Effective Control Through Coherent Decentralization with Preemptive Goals
• Technical Note—Convex Programming with Set-Inclusive Constraints and Applications to Inexact Linear Programming

This page was built for publication: Robust goal programming using different robustness echelons via norm-based and ellipsoidal uncertainty sets