Computational Methods to Optimize High-Consequence Variants of the Vehicle Routing Problem for Relief Networks in Humanitarian Logistics
Optimization of relief networks in humanitarian logistics often exemplifies the need for solutions that are feasible given a hard constraint on time. For instance, the distribution of medical countermeasures immediately following a biological disaster event must be completed within a short time-fram...
Main Author: | Urbanovsky, Joshua C. |
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Other Authors: | Mikler, Armin R. |
Format: | Others |
Language: | English |
Published: |
University of North Texas
2018
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Subjects: | |
Online Access: | https://digital.library.unt.edu/ark:/67531/metadc1248473/ |
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