Momtahen, S., & Dariane, A. B. (2007). Direct search approaches using genetic algorithms for optimization of water reservoir operating policies. Journal of Water Resources Planning and Management-Asce, 133, 202-209. http://dx.doi.org/10.1061/(ASCE)0733-9496(2007)133:3(202)

has been cited by the following article:

• TITLE: Research and Application of Pollution Control in the Middle Reach of Ashe River by Multi-Objective Optimization

  AUTHORS: Yuanyuan Wang, Liang Guo, Yi Wang, Meng Ran, Jie Liu, Peng Wang

  KEYWORDS: One-Dimensional Water Quality Model; Point Source Pollution Reduction; Multi-Objective Optimization; Middle reach of Ashe River

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.1 No.2, November 7, 2013

  ABSTRACT: Based on one-dimensional water quality model and nonlinear programming, the point source pollution reduction model with multi-objective optimization has been established. To achieve cost effective and best water quality, for us to optimize the process, we set pollutant concentration and total amount control as constraints and put forward the optimal pollution reduction control strategy by simulating and optimizing water quality monitoring data from the target section. Integrated with scenario analysis, COD and ammonia nitrogen pollution optimization wasstudiedin objective function area from Mountain Maan of Acheng to Fuerjia Bridge along Ashe River. The results showed that COD and NH3-N contribution has been greatly reduced to AsheRiverby 49.6% and 32.7% respectively. Therefore, multi-objective optimization by nonlinear programming for water pollution control can make source sewage optimization fairly and reasonably, and the optimal strategies of pollution emission are presented.