Proceedings of the 2016 2nd International Conference on Education, Social Science, Management and Sports (ICESSMS 2016)

The Optimal Model of Refugee Crisis Based on the Shortest Time

Authors
Chang'an Wang, Xiaoqian Liu
Corresponding Author
Chang'an Wang
Available Online February 2017.
DOI
10.2991/icessms-16.2017.39How to use a DOI?
Keywords
Refugee Crisis;GeneticAlgorithm;OptimizationEvacuation Model
Abstract

Europeanrefugeecrisis,whichbeganin2015,hasbecomeaseriousprobleminEurope.Inordertomeasurethecrisis, an optimizationevacuation model isestablishedto address this problem. Considering totalpossiblerefugees needed to be evacuated in the shortest time,GeneticAlgorithmis used tofindtheoptimalsolutionthroughMATLAB.Basedon thedata of EUrefugeecrisis, specially choosing Iraq and Syria,theroadresistantcoefficient,refugees'satisfactionandotherfactors are addedinourmodel.theoptimalmovementbytheconsiderationofsixtravel routes mentioned in theproblem is simulated, theresultis fairlyconsistent with the realistic.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 2nd International Conference on Education, Social Science, Management and Sports (ICESSMS 2016)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
February 2017
ISBN
10.2991/icessms-16.2017.39
ISSN
2352-5398
DOI
10.2991/icessms-16.2017.39How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Chang'an Wang
AU  - Xiaoqian Liu
PY  - 2017/02
DA  - 2017/02
TI  - The Optimal Model of Refugee Crisis Based on the Shortest Time
BT  - Proceedings of the 2016 2nd International Conference on Education, Social Science, Management and Sports (ICESSMS 2016)
PB  - Atlantis Press
SP  - 187
EP  - 193
SN  - 2352-5398
UR  - https://doi.org/10.2991/icessms-16.2017.39
DO  - 10.2991/icessms-16.2017.39
ID  - Wang2017/02
ER  -