Multi-objective optimal allocation of regional water resources based on slime mould algorithm

被引:36
|
作者
Wu, Xian [1 ]
Wang, Zhaocai [1 ]
机构
[1] Shanghai Ocean Univ, Coll Informat, Shanghai 201306, Peoples R China
来源
JOURNAL OF SUPERCOMPUTING | 2022年 / 78卷 / 16期
关键词
Water resources; Optimal allocation; Multi-objective; Slime mold algorithm; VIRTUAL WATER; OPTIMIZATION; MODEL; MANAGEMENT; DEMAND;
D O I
10.1007/s11227-022-04599-w
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The slime mold algorithm (SMA) is applied to optimize the allocation of water resources in Wuzhi. The cost of using mathematical methods to optimize an engineered water allocation problem is enormous, and heuristic algorithms have become reliable and effective optimization tools. In this study, a multi-objective water resources optimal allocation model integrating social, economic and environmental objectives is constructed for the study area, and SMA equipped with fast convergence and accurate search is applied to optimize the problem. Water allocation schemes for the region in 2025 and 2030 were obtained, and the distribution results were independently analyzed from both the demand and supply sides. The results show that the total water distribution in 2025 and 2030 are about 323 million m(3 )and 346 million m(3), and the water deficit ratios are 2.90% and 6.95%, respectively. From the perspective of regional development, the water dispatched in the region still is less than the water demand and the optimized water resource allocation plan can guide the development of the region.
引用
收藏
页码:18288 / 18317
页数:30
相关论文
共 50 条
  • [41] Multi-Water Resources Optimal Allocation Based on Multi-Objective Uncertain Chance-Constrained Programming Model
    Xiaona Li
    Xiaosheng Wang
    Haiying Guo
    Weimin Ma
    Water Resources Management, 2020, 34 : 4881 - 4899
  • [42] Research on the allocation of water resources engineering projects based on multi-objective optimization
    Lu, Yongqin
    Gan, Lu
    Chen, Yonghua
    Zheng, Ningyao
    WATER SUPPLY, 2023, 23 (08) : 3297 - 3308
  • [43] A modified multi-objective slime mould algorithm with orthogonal learning for numerical association rules mining
    Salma Yacoubi
    Ghaith Manita
    Hamida Amdouni
    Seyedali Mirjalili
    Ouajdi Korbaa
    Neural Computing and Applications, 2023, 35 : 6125 - 6151
  • [44] A modified multi-objective slime mould algorithm with orthogonal learning for numerical association rules mining
    Yacoubi, Salma
    Manita, Ghaith
    Amdouni, Hamida
    Mirjalili, Seyedali
    Korbaa, Ouajdi
    NEURAL COMPUTING & APPLICATIONS, 2023, 35 (08): : 6125 - 6151
  • [45] Prediction using multi-objective slime mould algorithm optimized support vector regression model
    Peng, Chong
    Che, Zhongyuan
    Liao, T. W.
    Zhang, Zhongwen
    APPLIED SOFT COMPUTING, 2023, 145
  • [46] Multi-objective equilibrium optimizer slime mould algorithm and its application in solving engineering problems
    Luo, Qifang
    Yin, Shihong
    Zhou, Guo
    Meng, Weiping
    Zhao, Yixin
    Zhou, Yongquan
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2023, 66 (05)
  • [47] Multi-objective equilibrium optimizer slime mould algorithm and its application in solving engineering problems
    Qifang Luo
    Shihong Yin
    Guo Zhou
    Weiping Meng
    Yixin Zhao
    Yongquan Zhou
    Structural and Multidisciplinary Optimization, 2023, 66
  • [48] Multi-objective optimization for allocation of surface water and groundwater resources
    Naghdi, Saeid
    Bozorg-Haddad, Omid
    Khorsandi, Mostafa
    Chu, Xuefeng
    SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 776 (776)
  • [49] Optimal Allocation of Hybrid Renewable Energy System by Multi-Objective Water Cycle Algorithm
    Mohamed, Al-Attar Ali
    Ali, Shimaa
    Alkhalaf, Salem
    Senjyu, Tomonobu
    Hemeida, Ashraf M.
    SUSTAINABILITY, 2019, 11 (23)
  • [50] Multi-objective chaotic optimization algorithm and its application in optimal water resources deployment
    Huang Xianfeng
    Shao Dongguo
    Gu Wenquan
    KYBERNETES, 2008, 37 (9-10) : 1374 - 1382