Evidence map›Paper›PMID 38937502›Full record

ArticleScientific reports2024

A significant exploration on meta-heuristic based approaches for optimization in the waste management route problems.

Gauri Thakur, Ashok Pal, Nitin Mittal, Mohd Shukri Ab Yajid, Fikreselam Gared

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Gauri ThakurDepartment of Mathematics, Chandigarh University, Ajitgarh, India.
Ashok PalDepartment of Mathematics, Chandigarh University, Ajitgarh, India.
Nitin MittalDepartment of Industry 4.0, Shri Vishwakarma Skill University, Palwal, Haryana, India.
Mohd Shukri Ab YajidManagement and Science University, Shah Alam, Selangor, Malaysia.
Fikreselam GaredFaculty of Electrical and Computer Engineering, Bahir Dar University, Bahir Dar, Ethiopia. fikreseafomi@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In metropolitan cities, it is very complicated to govern the optimum routes for garbage collection vehicles due to high waste production and very dense population. Furthermore, wrongly designed routes are the source of wasting time, fuel and other resources in the collection of municipal trash procedure. The Vehicle Routing Problem (VRP) published between 2011 and 2023 was systematically analysed. The majority of the surveyed research compute the waste collecting problems using metaheuristic approaches. This manuscript serves two purposes: first, categorising the VRP and its variants in the field of waste collection; second, examining the role played by most of the metaheuristics in the solution of the VRP problems for a waste collection. Three case study of Asia continent has been analysed and the results show that the metaheuristic algorithms have the capability in providing good results for large-scale data. Lastly, some promising paths ranging from highlighting research gap to future scope are drawn to encourage researchers to conduct their research work in the field of waste management route problems.

Indexed as

BibliometricMetaheuristicOptimizationRoutingWaste management

Identifiers

PMID38937502
PMCPMC11211495

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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.