Inverse optimization for multi-objective linear programming

This paper generalizes inverse optimization for multi-objective linear programming where we are looking for the least problem modifications to make a given feasible solution a weak efficient solution. This is a natural extension of inverse optimization for single-objective linear programming with re...

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Veröffentlicht in:	Optimization letters Jg. 13; H. 2; S. 281 - 294
Hauptverfasser:	Naghavi, Mostafa, Foroughi, Ali Asghar, Zarepisheh, Masoud
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2019
Schlagworte:	Computational Intelligence Mathematics Mathematics and Statistics Numerical and Computational Physics Operations Research/Decision Theory Optimization Original Paper Simulation Linear programming Inverse optimization Efficiency Multi-objective linear programming
ISSN:	1862-4472, 1862-4480
Online-Zugang:	Volltext
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