Ebtehaj Isa, Bonakdari Hossein
Department of Civil Engineering, Razi University, Kermanshah, Iran E-mail:
Water Sci Technol. 2014;70(10):1695-701. doi: 10.2166/wst.2014.434.
The existence of sediments in wastewater greatly affects the performance of the sewer and wastewater transmission systems. Increased sedimentation in wastewater collection systems causes problems such as reduced transmission capacity and early combined sewer overflow. The article reviews the performance of the genetic algorithm (GA) and imperialist competitive algorithm (ICA) in minimizing the target function (mean square error of observed and predicted Froude number). To study the impact of bed load transport parameters, using four non-dimensional groups, six different models have been presented. Moreover, the roulette wheel selection method is used to select the parents. The ICA with root mean square error (RMSE) = 0.007, mean absolute percentage error (MAPE) = 3.5% show better results than GA (RMSE = 0.007, MAPE = 5.6%) for the selected model. All six models return better results than the GA. Also, the results of these two algorithms were compared with multi-layer perceptron and existing equations.
废水中沉积物的存在极大地影响了下水道和废水传输系统的性能。废水收集系统中沉积物的增加会导致传输能力降低和早期合流制下水道溢流等问题。本文回顾了遗传算法（GA）和帝国主义竞争算法（ICA）在最小化目标函数（观测和预测弗劳德数的均方误差）方面的性能。为了研究推移质输运参数的影响，使用四个无量纲组，提出了六种不同的模型。此外，采用轮盘赌选择法来选择亲本。对于所选模型，均方根误差（RMSE）=0.007、平均绝对百分比误差（MAPE）=3.5%的ICA比GA（RMSE = 0.007，MAPE = 5.6%）显示出更好的结果。所有六个模型的结果都比GA好。此外，还将这两种算法的结果与多层感知器和现有方程进行了比较。
