Intelligent Allocation Method of Earthwork Based on Sparrow Search Algorithm

Fu Du; Liping He; Jian Pan; Pingjie Li

doi:10.2991/978-94-6463-726-7_31

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Intelligent Allocation Method of Earthwork Based on Sparrow Search Algorithm

Authors

Fu Du¹^{, 4}^{, *}, Liping He², Jian Pan³, Pingjie Li¹^{, 4}

¹CCCC Fourth Harbor Engineering Institute Co., Ltd., Guangzhou, Guangdong, 510230, China

²The Third Engineering Company of CCCC Fourth Harbor Engineering Co., Ltd., Zhanjiang, Guangdong, 524000, China

³Guangxi Pinglu Canal Construction Co., Ltd., Nanning, Guangxi, 530000, China

⁴CCCC Key Lab of Environmental Protection & Safety in Foundation Engineering of Transportation, Guangzhou, 510230, China

^*Corresponding author. Email: 319729668@qq.com

Corresponding Author

Fu Du

Available Online 13 June 2025.

DOI: 10.2991/978-94-6463-726-7_31 How to use a DOI?
Keywords: SSA algorithm; Earthwork allocation; Earthwork construction; Control model
Abstract: The calculation of earthwork volume is an important link in controlling project investment, project budget, and construction arrangement in the construction process of highways, tunnels, bridges, and other engineering projects. It has a direct impact on project progress and project budget. To ensure effective cost and schedule control, it is necessary to conduct fast and accurate calculation of earthwork quantities, and consider on-site factors for real-time dynamic control of earthwork allocation optimization. This study establishes a whole construction process allocation model and intelligent allocation algorithm for earthwork. The allocation equation and constraint conditions are established through the classification of earthwork operation areas, and the SSA algorithm is used to calculate and analyze the optimal allocation plan with the least cost. The calculation results show that the SSA algorithm is highly consistent with the actual situation for the optimal solution of nonlinear engineering allocation amount, with a relative error rate as low as 1. 13%, and the calculation process is efficient, taking only 313 seconds, fully proving its economic and practical value in engineering practice.
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 2024 6th International Conference on Hydraulic, Civil and Construction Engineering (HCCE 2024)
Series: Atlantis Highlights in Engineering
Publication Date: 13 June 2025
ISBN: 978-94-6463-726-7
ISSN: 2589-4943
DOI: 10.2991/978-94-6463-726-7_31 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Fu Du
AU  - Liping He
AU  - Jian Pan
AU  - Pingjie Li
PY  - 2025
DA  - 2025/06/13
TI  - Intelligent Allocation Method of Earthwork Based on Sparrow Search Algorithm
BT  - Proceedings of the 2024 6th International Conference on Hydraulic, Civil and Construction Engineering (HCCE 2024)
PB  - Atlantis Press
SP  - 312
EP  - 320
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-726-7_31
DO  - 10.2991/978-94-6463-726-7_31
ID  - Du2025
ER  -

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