Asset Details
Do you wish to reserve the book?
Optimizing pressurized drip irrigation pipe network design using an improved NSGA-II algorithm and engineering depreciation cost method
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Optimizing pressurized drip irrigation pipe network design using an improved NSGA-II algorithm and engineering depreciation cost method
Do you wish to request the book?
Optimizing pressurized drip irrigation pipe network design using an improved NSGA-II algorithm and engineering depreciation cost method
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Optimizing pressurized drip irrigation pipe network design using an improved NSGA-II algorithm and engineering depreciation cost method
2025
Overview
【Objective】Optimizing pipe networks is a critical aspect of drip irrigation design. This paper proposes a multi-objective method to optimize pressurized drip irrigation network design and evaluate its applicability.【Method】The optimization method incorporates two objectives: minimizing the cost per unit area and improving network reliability by reducing the variance of surplus head at unfavourable nodes in the network. A mathematical model was developed, accounting for depreciation costs and operation and management expenses. The proposed model was applied to a pressurized drip irrigation network in an irrigation area in Xinjiang. The performance of the improved NSGA-II (Non-dominated Sorting Genetic Algorithm II) was compared with the original algorithm by analysing the Pareto frontier solutions.【Result】The Pareto frontier solution obtained by the improved NSGA-II algorithm is better than that obtained by the original algorithm. When the cost of a unit area was the same, the optimal network obtained by the improved NSGA-II algorithm was more reliable than that obtained by the original algorithm. Across 50 independent calculations, the uniformity index value of the improved NSGA-II and the original algorithm was 0.371 and 0.404, respectively. The cost of a unit area calculated using the improved NSGA-II algorithm was 792.92 yuan/hm2, compared to 851.89 yuan/hm2 budgeted in the original project. The optimisation calculated by the proposed method reduced the variance of surplus head at the unfavourable nodes in the network from 0.15 to 0.06.【Conclusion】The improved NSGA-II algorithm is more effective than the original algorithm, offering a practical approach to reducing costs and enhancing the reliability of pressurized drip irrigation pipe networks and similar hydraulic systems.
