Solving water quality management problem through combined genetic algorithm and fuzzy simulation

• Main Authors: Xu, T. Y., Qin, Xiaosheng
• 其他作者: School of Civil and Environmental Engineering
• 格式: Article
• 語言: English
• 出版: 2014
• 主題: DRNTU::Engineering::Environmental engineering::Water treatment
• 在線閱讀: https://hdl.handle.net/10356/101725; http://hdl.handle.net/10220/24079

A combined genetic algorithm and fuzzy simulation approach (GAFSA) was developed through integrating fuzzy chance-constrained programming (FCCP) and genetic algorithm (GA) into a general optimization framework. The major advantage of GAFSA is that it could tackle generally-shaped fuzzy membership fu...