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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Official URL: https://doi.org/10.1016/j.ejor.2016.05.037

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/1800/1802

Subjects:

?? ROBUST OPTIMIZATIONSOLUTION RANKINGCOMBINATORIAL OPTIMIZATIONEVACUATION PLANNINGMODELLING AND SIMULATIONMANAGEMENT SCIENCE AND OPERATIONS RESEARCHINFORMATION SYSTEMS AND MANAGEMENT ??

Departments:

Lancaster University Management School > Management Science

ID Code:

79706

Deposited By:

ep_importer_pure

Deposited On:

23 May 2016 08:58

Refereed?:

Yes

Published?:

Published

Last Modified:

17 Sep 2023 01:51

URI:

https://eprints.lancs.ac.uk/id/eprint/79706