Benders Decomposition for Large-Scale Prescriptive Evacuations

Authors

  • Julia Romanski Brown University
  • Pascal Van Hentenryck University of Michigan

DOI:

https://doi.org/10.1609/aaai.v30i1.9896

Abstract

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

Issue

Section

Special Track: Computational Sustainability