Home > Research > Publications & Outputs > Ranking robustness and its application to evacu...

Research

Associated organisational unit

Electronic data

  • K_Best_Robust_BW

    Rights statement: 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

    Accepted author manuscript, 2.52 MB, PDF document

    Available under license: CC BY-NC-ND: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

Links

Text available via DOI:

Keywords

View graph of relations

Ranking robustness and its application to evacuation planning

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published
Close
More...
<mark>Journal publication date</mark>1/02/2018
<mark>Journal</mark>European Journal of Operational Research
Issue number3
Volume264
Number of pages10
Pages (from-to)837-846
Publication StatusPublished
Early online date3/06/16
<mark>Original language</mark>English

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.

Bibliographic note

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