Solving the earthquake disaster shelter location-allocation problem using optimization heuristics

Zhao, X.; Coates, G.; Xu, W.; Comes, T.; Bénaben, F.; Hanachi, C.; Lauras, M.; Montarnal, A.

Abstract

Earthquakes can cause significant disruption and devastation to populations of communities. Thus, in the event of an earthquake, it is necessary to have the right number of disaster shelters, with the appropriate capacity, in the right location in order to accommodate local communities. Mathematical models, allied with suitable optimization algorithms, have been used to determine the locations at which to construct disaster shelters and allocate the population to them. This paper compares the use of two optimization algorithms, namely a genetic algorithm and a modified particle swarm optimization, both of which have advantages and disadvantages when solving the disaster shelter location-allocation problem.

Citation

Zhao, X., Coates, G., Xu, W., Comes, T., Bénaben, F., Hanachi, C., Lauras, M., & Montarnal, A. (2017, May). Solving the earthquake disaster shelter location-allocation problem using optimization heuristics. Presented at 14th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2017), Albi, Occitanie Pyrénées-Méditerranée, France

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 14th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2017)
• Start Date: May 21, 2017
• End Date: May 24, 2017
• Publication Date: May 23, 2017
• Deposit Date: May 24, 2017
• Publicly Available Date: May 24, 2017
• Pages: 50-62
• Series Title: Proceedings of the International Conference on Information Systems for Crisis Response and Management
• Series ISSN: 2411-3387
• Book Title: Proceedings of the 14th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2017) : Albi, Occitanie Pyrénées-Méditerranée, France, 21-24 May 2017.
• Public URL: https://durham-repository.worktribe.com/output/1148457
• Publisher URL: http://idl.iscram.org/files/tinacomes/2017/1440_TinaComes_etal2017.pdf