Multi-objective minmax robust combinatorial optimization with cardinality-constrained uncertainty

DOI10.1016/j.ejor.2017.12.018zbMath1403.90585arXiv1701.06317OpenAlexW2582217285MaRDI QIDQ723948

Lisa Thom, Andrea Raith, Anita Schöbel, Marie E. Schmidt

Publication date: 25 July 2018

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

Full work available at URL: https://arxiv.org/abs/1701.06317

zbMATH Keywords

combinatorial optimizationrobust optimizationmultiple objective programmingshortest path problemmulti-objective robust optimization

Mathematics Subject Classification ID

Minimax problems in mathematical programming (90C47) Multi-objective and goal programming (90C29) Sensitivity, stability, parametric optimization (90C31) Combinatorial optimization (90C27)

Related Items (11)

Dominance for multi-objective robust optimization concepts ⋮ A fully polynomial time approximation scheme for the probability maximizing shortest path problem ⋮ Algorithms for the minmax regret path problem with interval data ⋮ Robust optimality conditions for multiobjective programming problems under data uncertainty and its applications ⋮ Robust Optimality and Duality in Multiobjective Optimization Problems under Data Uncertainty ⋮ Min-ordering and max-ordering scalarization methods for multi-objective robust optimization ⋮ Facing robustness as a multi-objective problem: a bi-objective shortest path problem in smart regions ⋮ Multiobjective optimization under uncertainty: a multiobjective robust (relative) regret approach ⋮ Extensions of labeling algorithms for multi‐objective uncertain shortest path problems ⋮ The price of multiobjective robustness: analyzing solution sets to uncertain multiobjective problems ⋮ Pareto solutions in multicriteria optimization under uncertainty

Uses Software

• GitHub

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