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Optimisation models to enhance resilience in evacuation planning

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

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Optimisation models to enhance resilience in evacuation planning. / Goerigk, Marc; Hamacher, Horst W.
In: Civil Engineering and Environmental Systems, Vol. 32, No. 1-2, 04.2015, p. 90-99.

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

Harvard

Goerigk, M & Hamacher, HW 2015, 'Optimisation models to enhance resilience in evacuation planning', Civil Engineering and Environmental Systems, vol. 32, no. 1-2, pp. 90-99. https://doi.org/10.1080/10286608.2015.1022729

APA

Goerigk, M., & Hamacher, H. W. (2015). Optimisation models to enhance resilience in evacuation planning. Civil Engineering and Environmental Systems, 32(1-2), 90-99. https://doi.org/10.1080/10286608.2015.1022729

Vancouver

Goerigk M, Hamacher HW. Optimisation models to enhance resilience in evacuation planning. Civil Engineering and Environmental Systems. 2015 Apr;32(1-2):90-99. Epub 2015 Apr 7. doi: 10.1080/10286608.2015.1022729

Author

Goerigk, Marc ; Hamacher, Horst W. / Optimisation models to enhance resilience in evacuation planning. In: Civil Engineering and Environmental Systems. 2015 ; Vol. 32, No. 1-2. pp. 90-99.

Bibtex

@article{c8e3a4281c324aa2ba1af131970cdfe3,
title = "Optimisation models to enhance resilience in evacuation planning",
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.",
keywords = "disaster management, evacuation planning, multiobjective optimisation, resilience, uncertainty",
author = "Marc Goerigk and Hamacher, {Horst W.}",
year = "2015",
month = apr,
doi = "10.1080/10286608.2015.1022729",
language = "English",
volume = "32",
pages = "90--99",
journal = "Civil Engineering and Environmental Systems",
issn = "1028-6608",
publisher = "Taylor and Francis Ltd.",
number = "1-2",

}

RIS

TY - JOUR

T1 - Optimisation models to enhance resilience in evacuation planning

AU - Goerigk, Marc

AU - Hamacher, Horst W.

PY - 2015/4

Y1 - 2015/4

N2 - 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.

AB - 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.

KW - disaster management

KW - evacuation planning

KW - multiobjective optimisation

KW - resilience

KW - uncertainty

U2 - 10.1080/10286608.2015.1022729

DO - 10.1080/10286608.2015.1022729

M3 - Journal article

AN - SCOPUS:84927721033

VL - 32

SP - 90

EP - 99

JO - Civil Engineering and Environmental Systems

JF - Civil Engineering and Environmental Systems

SN - 1028-6608

IS - 1-2

ER -