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Towards design of compound channels with minimum overall cost through grey wolf optimization algorithm
Journal of Hydroinformatics ( IF 2.2 ) Pub Date : 2021-09-01 , DOI: 10.2166/hydro.2021.050
Kiyoumars Roushangar 1, 2 , Aida Nouri 1 , Saman Shahnazi 1 , Hazi Md Azamathulla 3
Affiliation  

The significant role of open channels in agriculture include supplying drinking water, industry, irrigation and flood control, making these hydraulic structures an integral part of the water conveyance system. Determination of optimum dimensions with minimum construction costs is considered as the primary concern when designing artificial open channels. To achieve this, the compound channels were evaluated with the following constraints, viz. composite roughness, velocity, Froude number and channel stability. Grey wolf optimization (GWO) was used to determine the optimal geometry of the channel. Optimization results clearly showed that the variation of roughness coefficient and the increase of factor of safety increased costs by 60 and 20% respectively. The optimum suitable cross-section for the compound channels was obtained by conducting various model scenarios.



中文翻译:

基于灰狼优化算法的复合通道设计总体成本最低

明渠在农业中的重要作用包括供应饮用水、工业、灌溉和防洪,使这些水工结构成为输水系统不可或缺的一部分。在设计人工明渠时,以最低的建造成本确定最佳尺寸被认为是首要考虑的问题。为实现这一点,复合通道在以下约束条件下进行评估,即。复合粗糙度、速度、弗劳德数和通道稳定性。灰狼优化 (GWO) 用于确定通道的最佳几何形状。优化结果清楚地表明,粗糙度系数的变化和安全系数的增加分别使成本增加了60%和20%。

更新日期:2021-09-24
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