Minmax robustness for multi-objective optimization problems

•Minmax robustness is extended to multi-objective optimization.•The concept of minmax robust efficiency is introduced.•Weighted sum scalarization and epsilon-constraints are adjusted to the new concept.•Problems with objective-wise uncertainty are investigated more closely.•The concepts are illustra...

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Veröffentlicht in:	European journal of operational research Jg. 239; H. 1; S. 17 - 31
Hauptverfasser:	Ehrgott, Matthias, Ide, Jonas, Schöbel, Anita
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 16.11.2014 Elsevier Sequoia S.A
Schlagworte:	Disturbances Gain Ingredients Mathematical models Mathematical problems Mathematical programming Multi-objective optimization Operational research Optimization Optimization techniques Quadratic programming Quality Robustness Robustness and sensitivity analysis Scenarios Studies Uncertainty modelling Scenarios Multi-objective optimization Robustness and sensitivity analysis Uncertainty modelling
ISSN:	0377-2217, 1872-6860
Online-Zugang:	Volltext
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