Modern Rural Water Resources Research Institute, Yangzhou University, Yangzhou 225008, China
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Abstract:
For inter-basin water transfer projects, the water conflict between society, economy, ecology, and other sectors makes the water allocation process more complicated. The optimal allocation of water resources was one of the most effective ways to alleviate the conflict between water supply and demand. It was necessary to implement an effective water resources optimization allocation concept in inter-basin water transfer projects to ensure the efficient implementation of inter-basin water transfer projects. This study presents an improved multi-objective cuckoo algorithm to effectively solve the multi-objective optimal allocation problem of inter-basin water resources. To address the shortcomings of multi-objective cuckoo algorithm such as slow convergence speed and easy to fall into local optimal solutions, chaos theory and variation mechanism were introduced, and adaptive discovery probability and step size were used to improve multi-objective cuckoo algorithm and enhance the overall performance of improved multi-objective cuckoo algorithm. A water resources optimal allocation model of the Jiangsu section of the South-to-North Water Transfers Project was established. Improved multi-objective cuckoo algorithm and multi-objective cuckoo algorithm were adopted to solve the water resources optimal allocation model, respectively. A non-negative matrix factorization method based on combined weighting was used for scheme evaluation. The results show that: improved multi-objective cuckoo algorithm was better than multi-objective cuckoo algorithm in terms of convergence, distribution, and overall performance, and was capable of yielding higher-quality Pareto solution sets; Compared with the optimal allocation solution solved by multi-objective cuckoo algorithm under the 50%, 75%, and 95% incoming water conditions, the total water shortage of the optimal allocation solution solved by improved multi-objective cuckoo algorithm was reduced by 21 million m3, 51 million m3 and 7 million m3, and the water loss was reduced by 13 million m3, 15 million m3 and 11 million m3, respectively. Therefore, improved multi-objective cuckoo algorithm could provide an effective algorithmic reference for the calculation of multi-objective optimal allocation of inter-basin water resources.
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