Cooperative Coevolutionary Genetic Algorithm For Water Resources Optimization Model And Its Application

DOI

10.2991/jimec-17.2017.8How to use a DOI?

Keywords

cooperative coevolution genetic algorithm; water resources optimization; multi-water sources; water-using units

Abstract

To solve the complexity of multi-public sources water allocation, the optimization model using the multi-objective function and multi-constrained conditions of the cooperative coevolution genetic algorithm (CCGA) was proposed for water resources management. The objective function was the highest benefit to both economy and society, while the constraints included available water supply amount, water demand, water supply projects capacity, ecology protection and non-negativity. Water demand ratio parameters for each public source were proposed which could be optimized by CCGA. The case study in Suibianhe Region showed that the proposed model was capable of allocating water resource efficiently and can provide useful information for water resources integrated management.

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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TY  - CONF
AU  - Wei Xu
AU  - Zengchuan Dong
AU  - Zhenchun Hao
AU  - Dunyu Zhong
AU  - Hongze Wang
PY  - 2017/10
DA  - 2017/10
TI  - Cooperative Coevolutionary Genetic Algorithm For Water Resources Optimization Model And Its Application
BT  - Proceedings of the 2017 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2017)
PB  - Atlantis Press
SP  - 40
EP  - 43
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimec-17.2017.8
DO  - 10.2991/jimec-17.2017.8
ID  - Xu2017/10
ER  -