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Abstract
We argue that the concepts of resilience in engineering science and robustness in mathematical optimisation are strongly related. Using evacuation planning as an example application, we demonstrate optimisation techniques to improve solution resilience. These include a direct modelling of the uncertainty for stochastic or robust optimisation as well as taking multiple objective functions into account.
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No potential conflict of interest was reported by the authors.
Notes
Additional information
Funding
Partially supported by the German Ministry of Research and Technology (BMBF), project DSS-Evac-Logistic, grant number 13N12229, and Air Force Office of Scientific Research, Air Force Material Command, USAF, under grant number FA8655-13-1-3066. The US Government is authorised to reproduce and distribute reprints for Governmental purpose notwithstanding any copyright notation thereon. Further support has been received from the European Union Seventh Framework Programme [FP7-PEOPLE-2009-IRSES] under grant agreement no. 246647 [project OptALI].