Ranking robustness and its application to evacuation planning
Goerigk, Marc and Hamacher, Horst W. and Kinscherff, Anika
(2018)
Ranking robustness and its application to evacuation planning.
European Journal of Operational Research, 264 (3).
pp. 837-846.
ISSN 0377-2217
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Abstract
We present a new approach to handle uncertain combinatorial optimization problems that uses solution ranking procedures to determine the degree of robustness of a solution. Unlike classic concepts for robust optimization, our approach is not purely based on absolute quantitative performance, but also includes qualitative aspects that are of major importance for the decision maker. We discuss the two variants, solution ranking and objective ranking robustness, in more detail, presenting problem complexities and solution approaches. Using an uncertain shortest path problem as a computational example, the potential of our approach is demonstrated in the context of evacuation planning due to river flooding.
Item Type:
Journal Article
Journal or Publication Title:
European Journal of Operational Research
Additional Information:
This is the author’s version of a work that was accepted for publication in European Journal of Operational Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in European Journal of Operational Research, 264, 3, 2017 DOI: 10.1016/j.ejor.2016.05.037
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2611
Subjects:
?? robust optimizationsolution rankingcombinatorial optimizationevacuation planningmodelling and simulationmanagement science and operations researchinformation systems and management ??
Deposited On:
23 May 2016 08:58
Last Modified:
08 Nov 2024 01:22