Benders Decomposition for Large-Scale Prescriptive Evacuations
DOI:
https://doi.org/10.1609/aaai.v30i1.9896Abstract
This paper considers prescriptive evacuation planning for a region threatened by a natural disaster such a flood, a wildfire, or a hurricane. It proposes a Benders decomposition that generalizes the two-stage approach proposed in earlier work for convergent evacuation plans. Experimental results show that Benders decomposition provides significant improvements in solution quality in reasonable time: It finds provably optimal solutions to scenarios considered in prior work, closing these instances, and increases the number of evacuees by 10 to 15% on average on more complex flood scenarios.
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Published
2016-03-05
How to Cite
Romanski, J., & Van Hentenryck, P. (2016). Benders Decomposition for Large-Scale Prescriptive Evacuations. Proceedings of the AAAI Conference on Artificial Intelligence, 30(1). https://doi.org/10.1609/aaai.v30i1.9896
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Special Track: Computational Sustainability