Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)

The Application of dynamic programming in the system optimization of environmental problem

Authors
Jingjing Zhao, Baoyou Liu, Fuxiang Wei
Corresponding Author
Jingjing Zhao
Available Online April 2013.
DOI
10.2991/icsem.2013.21How to use a DOI?
Keywords
dynamic programming, environmental science, optimization, LINGO.
Abstract

Based on the application in the system optimization of environmental problem, the solution procedures of dynamic programming are introduced. Combining with some typical problems, such as the shortest path problem, the optimum scheme problem of water treatment and the water resources allocation problem, reliability analyses of the solution procedures by LINGO software is processed. The results show that the LINGO software can effectively solve this kind of dynamic programming problem and is the effective tool to solve the environmental problems and resource problems.

Copyright
© 2013, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
Series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
10.2991/icsem.2013.21
ISSN
1951-6851
DOI
10.2991/icsem.2013.21How to use a DOI?
Copyright
© 2013, 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  - Jingjing Zhao
AU  - Baoyou Liu
AU  - Fuxiang Wei
PY  - 2013/04
DA  - 2013/04
TI  - The Application of dynamic programming in the system optimization of environmental problem
BT  - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
PB  - Atlantis Press
SP  - 103
EP  - 108
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.21
DO  - 10.2991/icsem.2013.21
ID  - Zhao2013/04
ER  -