Evidence map›Paper›PMID 41173909›Full record

ArticleScientific reports2025

Optimization of groundwater utilization strategy based on an improved snake optimizer integrating whale algorithm and bubble-net mechanism.

Hou Shuang, Zhou Chuanchen, Liu Miao, Wang Xiaosheng, Hao Linjie

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hou ShuangSchool of Water Conservancy and Hydroelectric Power , Hebei University of Engineering , Handan, China.
Zhou ChuanchenInspecting and Testing Centre for Hydrological & Geotechnical Instrument's quality, Ministry of Water Resources, Nanjing, China.
Liu MiaoHebei Institute of Water Conservancy Science , Shijiazhuang, China. hillerman@163.com.
Wang XiaoshengSchool of Mathematics and Physics, Hebei University of Engineering, Handan, China.
Hao LinjieShijiazhuang Tiedao University, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Groundwater is a vital resource for agricultural irrigation, and optimizing its allocation is essential for sustainable water management. This paper presents an improved Snake Optimizer (W-SO) to address the challenges of premature convergence and local optima in traditional SO algorithms. The proposed W-SO algorithm integrates the Whale Optimization Algorithm’s (WOA) bubble-net mechanism and incorporates a Logistic chaos initialization strategy to enhance population diversity. The W-SO algorithm is applied to optimize groundwater utilization strategies, and the results demonstrate its superiority over other optimization algorithms in terms of convergence speed and solution quality.

Indexed as

Agricultural irrigation districtGroundwater schedulingLogistic chaos

Identifiers

PMID41173909
PMCPMC12578817

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.