Evidence map›Paper›PMID 38510030›Full record

ArticleHeliyon2024

Mine water cooperative optimal scheduling based on improved genetic algorithm.

Yang Liu, Zihang Zhang, Dongxu Zhu, Lei Bo, Shangqing Yang, Yuangan Yue, Yiying Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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

7 authors.

Yang LiuSchool of Mechanical Electronic & Information Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China.
Zihang ZhangSchool of Mechanical Electronic & Information Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China.
Dongxu ZhuChina Academy of Launch Vehicle Technology, Beijing, 100086, China.
Lei BoSchool of Mechanical Electronic & Information Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China.
Shangqing YangSchool of Mechanical Electronic & Information Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China.
Yuangan YueSchool of Mechanical Electronic & Information Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China.
Yiying WangSchool of Mechanical and Equipment Engineering, Hebei University of Engineering, Handan, Hebei, 056038, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article addresses the issues of unreasonable water scheduling and high costs in coal mine shafts, proposing a hierarchical optimization scheduling strategy. Taking the water quality and quantity of a certain mining area in Inner Mongolia as the research object, it designs the objective function with the highest reuse efficiency and the lowest reuse cost of mine water resources, and establishes the constraint conditions of water quality and quantity for each water-using unit. In response to the problem that traditional genetic algorithms are prone to local optima, an adaptive autobiographical operator is proposed and improved based on Metropolis principle of simulated annealing algorithm. The improved algorithm is applied to the calculation of the scheduling model, and the results show that the recovery cost in the heating season is reduced by 66779.36 CNY/month, a decrease of 10.34%; the recovery cost in the non-heating season is reduced by 61469.28 CNY/month, a decrease of 9.91%. At the same time, the heating season and the non-heating season have reduced by 136.99 h/month and 154.52 h/month respectively, significantly reducing the recovery cost and time.

Indexed as

Cooperative schedulingImproved genetic algorithmMine waterReuse cost

Identifiers

PMID38510030
PMCPMC10950494

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.