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

Some Results on how to solve uncertain transport Problems

Authors
Xiaoxu Lu, Yunfei Li, Jintao Meng
Corresponding Author
Xiaoxu Lu
Available Online June 2015.
DOI
https://doi.org/10.2991/icecee-15.2015.237How to use a DOI?
Keywords
Some Results on how to solve uncertain transport Problems
Abstract
Assignment Problem is a key issue in optimization problem since it has large application. A lot of researchers have focused on this issue and at the same time many related problems are considered, such as traffic problems and transport problems etc. In paper, the authors considered the assignment Problem using the Maximum Element Algorithm. It has the facial application background since each manager wants to obtain the more revenue. And in the same paper they proposed that if the data is uncertain, how to solve the problem. It is fitful to the facial problems of transportation problem. We want to use the maximum element algorithm to find the scheme of the uncertain data. Since it is uncertain data we have to obtain the upper bound and lower bound. Finally we find that the Maximum Element Algorithm is a useful method to solve some optimization problems.
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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-15.2015.237How 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  - Xiaoxu Lu
AU  - Yunfei Li
AU  - Jintao Meng
PY  - 2015/06
DA  - 2015/06
TI  - Some Results on how to solve uncertain transport Problems
BT  - 2015 2nd International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 1279
EP  - 1282
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.237
DO  - https://doi.org/10.2991/icecee-15.2015.237
ID  - Lu2015/06
ER  -