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

作者：Mohammad Javad Kazemzadeh‐Parsi, Farhang Daneshmand, Mohammad Amin Ahmadfard, Jan Adamowski, Richard Martel · 发表于：Engineering Optimization · 年份：2014 · DOI：10.1080/0305215x.2013.858138 · 被引用次数：59 · 研究领域：Water Systems and Optimization、Groundwater flow and contamination studies、Water resources management and optimization

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.