Decision space robustness for multi-objective integer linear programming
نویسندگان
چکیده
Abstract In this article we introduce robustness measures in the context of multi-objective integer linear programming problems. The proposed are line with concept decision robustness, which considers uncertainty respect to implementation a specific solution. An efficient solution is considered be robust if many solutions its neighborhood as well. This rather new area research differs from concepts dealing imperfect knowledge data parameters. Our approach implies two-phase procedure, where first phase set all computed, and second each one determined. indicators propose based on these neighborhoods. We discuss consistency properties for indicators, present some numerical evaluations problem classes show potential fields application.
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ژورنال
عنوان ژورنال: Annals of Operations Research
سال: 2021
ISSN: ['1572-9338', '0254-5330']
DOI: https://doi.org/10.1007/s10479-021-04462-w