Ranking Robustness and its Application to Evacuation Planning
- 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.
Author: | Marc Goerigk, Horst Hamacher, Anika Kinscherff |
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URN: | urn:nbn:de:hbz:386-kluedo-42966 |
Series (Serial Number): | Report in Wirtschaftsmathematik (WIMA Report) (160) |
Document Type: | Preprint |
Language of publication: | English |
Date of Publication (online): | 2016/01/02 |
Year of first Publication: | 2016 |
Publishing Institution: | Technische Universität Kaiserslautern |
Date of the Publication (Server): | 2016/02/03 |
Page Number: | 22 |
Faculties / Organisational entities: | Kaiserslautern - Fachbereich Mathematik |
DDC-Cassification: | 5 Naturwissenschaften und Mathematik / 510 Mathematik |
Licence (German): | Standard gemäß KLUEDO-Leitlinien vom 30.07.2015 |