Simultaneous Optimization of SWMM Parameters by the Dynamic System Response Curve with Multi-Objective Function-Reference-Cited by-同舟云学术

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Simultaneous Optimization of SWMM Parameters by the Dynamic System Response Curve with Multi-Objective Function

Published:2023-09-05 Issue:13 Volume:37 Page:5061-5079
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Du Yao,Li Qiongfang,He Pengfei,Zou Zhenhua,Zhou Zhengmo,Xu Shuhong,Han Xingye,Zeng Tianshan

Funder

National Natural Science Foundation Commission of China

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11269-023-03595-w.pdf

Reference22 articles.

1. Bao W, Zhang X, Zhao L (2013) Parameter estimation method based on parameter function surface. Sci China Technol Sci 56:1485–1498. https://doi.org/10.1007/s11431-013-5224-3

2. Bao W, Zhao L (2014) Application of linearized calibration method for vertically mixed runoff model parameters. J Hydrol Eng 19:1–11. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000984

3. Behrouz MS, Zhu Z, Matott LS, Rabideau AJ (2020) A new tool for automatic calibration of the Storm Water Management Model (SWMM). J Hydrol 581:124436. https://doi.org/10.1016/j.jhydrol.2019.124436

4. Casallas-Ojeda M, Soto-Paz J, Alfonso-Morales W et al (2021) Optimization of operational parameters during anaerobic co-digestion of food and garden waste. Environ Process 8:769–791. https://doi.org/10.1007/s40710-021-00506-2

5. Coello CAC, Lechuga MS (2002) MOPSO: a proposal for multiple objective particle swarm optimization. In: Proceedings of the 2002 Congress on Evolutionary Computation. CEC’02 (Cat. No.02TH8600). IEEE 1051–1056. https://doi.org/10.1109/CEC.2002.1004388

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