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A Hybrid AI and Simulation-Based Optimization DSS for Post-Disaster Logistics

Transactions on computational science and computational intelligence(2021)

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Abstract
This paper describes a new simulation-based optimization framework for developing and assessing relief distribution strategies following a disaster where citizen’s relocation is necessary. This work has been conceptualized and is currently being developed with and for experts in the field of disaster and security management, in order to tackle the real issues arising during such crises.
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Key words
Disaster management,Humanitarian logistics,Decision support,Operations research,Bayesian networks
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