Optimal groundwater remediation design of pump and treat systems via a simulation-optimization approach and firefly algorithm

作     者：Kazemzadeh-Parsi, Mohammad Javad Daneshmand, Farhang Ahmadfard, Mohammad Amin Adamowski, Jan Martel, Richard 

作者机构：Islamic Azad Univ Shiraz Branch Dept Mech Engn Shiraz Iran McGill Univ Fac Agr & Environm Sci Dept Bioresource Engn Ste Anne De Bellevue PQ Canada McGill Univ Dept Mech Engn Montreal PQ Canada Univ Quebec Inst Natl Rech Sci Ctr Eau Terre & Environm Quebec City PQ Canada 

出 版 物：《ENGINEERING OPTIMIZATION》 (工程优选)

年 卷 期：2015年第47卷第1期

页      面：1-17页

核心收录：

学科分类：1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 

基　　金：NSERC 

主　　题：multi-objective optimization remediation design groundwater firefly algorithm finite element method 

摘      要：In the present study, an optimization approach based on the firefly algorithm (FA) is combined with a finite element simulation method (FEM) to determine the optimum design of pump and treat remediation systems. Three multi-objective functions in which pumping rate and clean-up time are design variables are considered and the proposed FA-FEM model is used to minimize operating costs, total pumping volumes and total pumping rates in three scenarios while meeting water quality requirements. The groundwater lift and contaminant concentration are also minimized through the optimization process. The obtained results show the applicability of the FA in conjunction with the FEM for the optimal design of groundwater remediation systems. The performance of the FA is also compared with the genetic algorithm (GA) and the FA is found to have a better convergence rate than the GA.