Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics

An Optimized Delivery System Model in Order to Zero Ebola Cases

Authors
Xiaofei Cui
Corresponding Author
Xiaofei Cui
Available Online June 2015.
DOI
https://doi.org/10.2991/icecee-15.2015.270How to use a DOI?
Keywords
Immune algorithm; Graph theory; Medicine delivery system
Abstract
Based on the graph theory and immune algorithm, this paper produces a medicine delivery system in West Africa where the largest and most complex Ebola outbreak takes place. Firstly, the delivery destinations where vaccine or drug is badly needed are selected using the map of cumulative cases in different regions. Then the problem how to determine locations of distribution centers is transformed into a goal programming problem. In this model, object is defined as the minimum cost of delivery transport. The cost is calculated by the product of needed vaccine or drug in each destination and the distance from this destination to its potential delivery center. Finally, the goal programming problem is solved by immune algorithm. This model can also be used in other similar cases where such an optimized delivery system is needed urgently.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 2nd International Conference on Electrical, Computer Engineering and Electronics
Part of series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-81-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/icecee-15.2015.270How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiaofei Cui
PY  - 2015/06
DA  - 2015/06
TI  - An Optimized Delivery System Model in Order to Zero Ebola Cases
BT  - 2015 2nd International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.270
DO  - https://doi.org/10.2991/icecee-15.2015.270
ID  - Cui2015/06
ER  -