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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/25265

Title: A heuristic approach to flood evacuation planning
Authors: Bennett, Gary
Yang, Lili
Simeonova, Boyka
Keywords: Flood evacuation planning
Multi-objective optimization
Issue Date: 2017
Publisher: © the Authors. Published by ISCRAM
Citation: BENNETT, G., YANG, L. and SIMENOVA, B., 2017. A heuristic approach to flood evacuation planning. IN: Comes, T. ...et al. (eds.) Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management: Agility is coming, (ISCRAM 2017), Albi, France, May 21-24th.
Abstract: Flood evacuation planning models are an important tool used in preparation for flooding events. Authorities use the plans generated by flood evacuation models to evacuate the population as quickly as possible. Contemporary models consider the whole solution space and use a stochastic search to explore and produce solutions. The one issue with stochastic approaches is that they cannot guarantee the optimality of the solution and it is important that the plans be of a high quality. We present a heuristically driven flood evacuation planning model; the proposed heuristic is deterministic, which allows the model to avoid this problem. The determinism of the model means that the optimality of solutions found can be readily verified.
Description: This is an Open Access Article. It is published by ISCRAM under the Creative Commons Attribution-ShareAlike 4.0 Unported Licence (CC BY-SA). Full details of this licence are available at: http://creativecommons.org/licenses/by-sa/4.0/
Version: Published
URI: https://dspace.lboro.ac.uk/2134/25265
Publisher Link: http://idl.iscram.org/files/tinacomes/2017/1440_TinaComes_etal2017.pdf
ISSN: 2411 -3387
Appears in Collections:Conference Papers and Presentations (Business)

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