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首页> 外文期刊>Journal of Hydroinformatics >Design of irrigation canals with minimum overall cost using particle swarm optimization - case study: El-Sheikh Gaber canal, north Sinai Peninsula, Egypt
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Design of irrigation canals with minimum overall cost using particle swarm optimization - case study: El-Sheikh Gaber canal, north Sinai Peninsula, Egypt

机译：使用粒子群优化的最低总成本的灌溉运河设计 - 案例研究：El-Sheikh Gaber Canal，北西奈半岛，埃及

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摘要

Nowadays, the scarcity of freshwater sources, climate change and the deterioration of freshwater quality have a great impact on the lives of human beings. As such, improving the design of irrigation canals will reduce water losses through evaporation and seepage. In this paper, particle swarm optimization (PSO) is used to determine the optimum design of irrigation canals' cross-sections with the objective to minimize the overall costs. The overall costs include the costs of earthwork, lining, and water loss by both seepage and evaporation. The velocity constraints for sedimentation and erosion have been taken into consideration in the proposed design method. The proposed PSO is compared with both the Probabilistic Global Search Lausanne (PGSL) and classical optimization methods to verify its usefulness in optimal design of canals' cross-sections. The proposed PSO is then used to design El-Sheikh Gaber canal, north Sinai Peninsula, Egypt and the obtained dimensions are compared with the existing canal dimensions. To facilitate the use of the developed model, optimal design graphs are presented. The results show that the reduction of overall cost ranged from 28 to 41% and consequently, the proposed PSO algorithm can be reliably used for the design of irrigation open canals without going through the conventional and cumbersome trial and error methods.
机译：如今，淡水来源的稀缺性，气候变化和淡水质量的恶化对人类的生活产生了很大影响。因此，改善灌溉运河的设计将通过蒸发和渗透来降低水损失。在本文中，粒子群优化（PSO）用于确定灌溉运河横截面的最佳设计，目的是最小化整体成本。整体成本包括渗流和蒸发的土方工程，衬里和防水的成本。在提出的设计方法中考虑了沉降和腐蚀的速度约束。将所提出的PSO与概率全球搜索洛桑（PGSL）和经典优化方法进行比较，以验证其在运河横截面最佳设计中的用处。然后将拟议的PSO设计用于设计El-Sheikh Gaber Canal，北西奈半岛，埃及和所获得的尺寸与现有的管尺寸进行比较。为了便于使用开发的模型，提出了最佳设计图。结果表明，整体成本的降低范围为28至41％，因此，该提出的PSO算法可以可靠地用于灌溉开放式运河的设计，而无需经过常规和繁琐的试验和误差方法。

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