2015
DOI: 10.1080/10286608.2015.1022729
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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.

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“…Publications that mesh systems thinking with resilience include those of Hsu and Stallins [2], Pham [3], Ge et al [4], Tian and Dai [5], Andersson et al [6], Taranu et al [7], Froese et al [8], Cámara et al [9], Carmichael [10], Goerigk and Hamacher [11], Jowitt and Milke [12], and Porse and Lund [13]. However, these do not present a complete systems picture or attempt to unify the various schools of thought on resilience.…”
Section: Introductionmentioning
confidence: 99%
“…Publications that mesh systems thinking with resilience include those of Hsu and Stallins [2], Pham [3], Ge et al [4], Tian and Dai [5], Andersson et al [6], Taranu et al [7], Froese et al [8], Cámara et al [9], Carmichael [10], Goerigk and Hamacher [11], Jowitt and Milke [12], and Porse and Lund [13]. However, these do not present a complete systems picture or attempt to unify the various schools of thought on resilience.…”
Section: Introductionmentioning
confidence: 99%