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A promising approach using Fibonacci sequence-based optimization algorithms and advanced computing

H. Tran-Ngoc; T. Le-Xuan; S. Khatir; G. De Roeck; T. Bui-Tien; Magd Abdel Wahab · Scientific Reports · 2023 · Numerical optimization and structural-model case study

Original publication · Original publication · Original publication

Recorded summary

A Fibonacci-based modification of the Salp Swarm Algorithm is evaluated for structural-health monitoring of a railway bridge, alongside parallel computation and vectorization intended to reduce computational cost.

Recorded limitations

The reported performance is specific to the tested algorithms and bridge-model setting. The study does not isolate a general superiority of Fibonacci methods or validate broad biological claims mentioned in its background.

Evidence and provenance

Chapter Trust Factor uses a minimum of three distinct qualifying studies. Publication records retain their own evidence and assessment.

Study design and assessment
design
Numerical optimization and structural-model case study
assessment
is Randomized Controlled Trial
false
blinding
Not applicable to a clinical-trial grade
basis
Numerical optimization and structural-model case study. No human randomized controlled trial is reported.
sources

https://www.nature.com/articles/s41598-023-28367-9

category
peer-reviewed
peer Reviewed
true
trust Factor
score
1
scope
Paper
status
assessed
randomized Controlled Trial
false
blinding
not-confirmed
peer Reviewed
true
basis
Numerical optimization and structural-model case study. No human randomized controlled trial is reported.
sources

https://pubmed.ncbi.nlm.nih.gov/36854757/ · https://www.nature.com/articles/s41598-023-28367-9

review Scope
Existing publication-specific assessments and bibliographic indexing; no blanket full-text appraisal.
assessed At
2026-10-27
jadad
status
not-applicable
score
Not recorded
reason
Not a human randomized controlled trial.
evidence
evidence Type
Numerical optimization and structural-model case study
evidence Class
computational_model
measurement
Optimization benchmarks and bridge finite-element model updating
measured Genes
None recorded
pathways
None recorded
relationship Note
Background literature only. This paper does not test or validate an OXTR–Fibonacci relationship.
clinical Evidence
false
review Depth
Abstract and selected source passages: Methodology; Conclusions and future research.
full Paper Appraisal
Not completed; review depth states the material assessed.
Topics and recorded topic scores
  1. key
    general:fibonacci-algorithms
    title
    Algorithms and optimization
    collection
    general
    trust Score
    1
Citation snapshot and identifiers
id
nature-fibonacci-s41598-023-28367-9
doi
10.1038/s41598-023-28367-9
pmid
36854757
citation Snapshot
count
19
source
Crossref cited-by count
retrieved At
2026-10-24
url
https://api.crossref.org/works/10.1038/s41598-023-28367-9
field
is-referenced-by-count
source Indexed At
2026-07-18T16:21:22Z
coverage Note
Count reflects Crossref-deposited references and can differ from publisher or other database totals. It is not a quality or clinical-evidence score.
citations By Collection
general
19
Complete approved library record
id
nature-fibonacci-s41598-023-28367-9
aliases
None recorded
title
A promising approach using Fibonacci sequence-based optimization algorithms and advanced computing
journal
Scientific Reports
publisher Family
nature
publisher Family Label
Nature Portfolio
neurotransmitters
None recorded
year
2023
authors
H. Tran-Ngoc; T. Le-Xuan; S. Khatir; G. De Roeck; T. Bui-Tien; Magd Abdel Wahab
design
Numerical optimization and structural-model case study
kind
Journal article
identity Conflict
Not recorded
doi
10.1038/s41598-023-28367-9
pmid
36854757
urls

https://www.nature.com/articles/s41598-023-28367-9 · https://doi.org/10.1038/s41598-023-28367-9 · https://pubmed.ncbi.nlm.nih.gov/36854757/

collections

general

categories

Fibonacci mathematics · Algorithms & optimization

targets
None recorded
priority
1
quotes
None recorded
summary
A Fibonacci-based modification of the Salp Swarm Algorithm is evaluated for structural-health monitoring of a railway bridge, alongside parallel computation and vectorization intended to reduce computational cost.
limitation
The reported performance is specific to the tested algorithms and bridge-model setting. The study does not isolate a general superiority of Fibonacci methods or validate broad biological claims mentioned in its background.
citation Count
19
citation Snapshot
count
19
source
Crossref cited-by count
retrieved At
2026-10-24
url
https://api.crossref.org/works/10.1038/s41598-023-28367-9
field
is-referenced-by-count
source Indexed At
2026-07-18T16:21:22Z
coverage Note
Count reflects Crossref-deposited references and can differ from publisher or other database totals. It is not a quality or clinical-evidence score.
study Design Assessment
is Randomized Controlled Trial
false
blinding
Not applicable to a clinical-trial grade
basis
Numerical optimization and structural-model case study. No human randomized controlled trial is reported.
sources

https://www.nature.com/articles/s41598-023-28367-9

category
peer-reviewed
peer Reviewed
true
paper Trust Assessment
score
1
scope
Paper
status
assessed
randomized Controlled Trial
false
blinding
not-confirmed
peer Reviewed
true
basis
Numerical optimization and structural-model case study. No human randomized controlled trial is reported.
sources

https://pubmed.ncbi.nlm.nih.gov/36854757/ · https://www.nature.com/articles/s41598-023-28367-9

review Scope
Existing publication-specific assessments and bibliographic indexing; no blanket full-text appraisal.
assessed At
2026-10-27
citations By Collection
general
19
topics
  1. key
    general:fibonacci-algorithms
    title
    Algorithms and optimization
    collection
    general
    trust Score
    1
journal Key
scientificreports
journal Label
Scientific Reports
chapter Entries
  1. id
    general-nature-fibonacci-s41598-023-28367-9
    title
    A promising approach using Fibonacci sequence-based optimization algorithms and advanced computing
    journal
    Scientific Reports
    year
    2023
    authors
    H. Tran-Ngoc; T. Le-Xuan; S. Khatir; G. De Roeck; T. Bui-Tien; Magd Abdel Wahab
    doi
    10.1038/s41598-023-28367-9
    pmid
    36854757
    urls

    https://www.nature.com/articles/s41598-023-28367-9 · https://doi.org/10.1038/s41598-023-28367-9 · https://pubmed.ncbi.nlm.nih.gov/36854757/

    design
    Numerical optimization and structural-model case study
    summary
    A Fibonacci-based modification of the Salp Swarm Algorithm is evaluated for structural-health monitoring of a railway bridge, alongside parallel computation and vectorization intended to reduce computational cost.
    limitation
    The reported performance is specific to the tested algorithms and bridge-model setting. The study does not isolate a general superiority of Fibonacci methods or validate broad biological claims mentioned in its background.
    citation Count
    19
    citation Snapshot
    count
    19
    source
    Crossref cited-by count
    retrieved At
    2026-10-24
    url
    https://api.crossref.org/works/10.1038/s41598-023-28367-9
    field
    is-referenced-by-count
    source Indexed At
    2026-07-18T16:21:22Z
    coverage Note
    Count reflects Crossref-deposited references and can differ from publisher or other database totals. It is not a quality or clinical-evidence score.
    categories

    Fibonacci mathematics · Algorithms & optimization

    targets
    None recorded
    evidence
    evidence Type
    Numerical optimization and structural-model case study
    evidence Class
    computational_model
    measurement
    Optimization benchmarks and bridge finite-element model updating
    measured Genes
    None recorded
    pathways
    None recorded
    relationship Note
    Background literature only. This paper does not test or validate an OXTR–Fibonacci relationship.
    clinical Evidence
    false
    review Depth
    Abstract and selected source passages: Methodology; Conclusions and future research.
    full Paper Appraisal
    Not completed; review depth states the material assessed.
    record Id
    nature-fibonacci-s41598-023-28367-9
    quotes
    None recorded
    source Pages
    None recorded
    paper Trust Assessment
    score
    1
    scope
    Paper
    status
    assessed
    randomized Controlled Trial
    false
    blinding
    not-confirmed
    peer Reviewed
    true
    basis
    Numerical optimization and structural-model case study. No human randomized controlled trial is reported.
    sources

    https://pubmed.ncbi.nlm.nih.gov/36854757/ · https://www.nature.com/articles/s41598-023-28367-9

    review Scope
    Existing publication-specific assessments and bibliographic indexing; no blanket full-text appraisal.
    assessed At
    2026-10-27
    study Design Assessment
    is Randomized Controlled Trial
    false
    blinding
    Not applicable to a clinical-trial grade
    basis
    Numerical optimization and structural-model case study. No human randomized controlled trial is reported.
    sources

    https://www.nature.com/articles/s41598-023-28367-9

    category
    peer-reviewed
    peer Reviewed
    true
    collection
    general
    chapter Number
    9
    topic Id
    fibonacci-algorithms
    topic Title
    Algorithms and optimization
    trust Score
    1
evidence
evidence Type
Numerical optimization and structural-model case study
evidence Class
computational_model
measurement
Optimization benchmarks and bridge finite-element model updating
measured Genes
None recorded
pathways
None recorded
relationship Note
Background literature only. This paper does not test or validate an OXTR–Fibonacci relationship.
clinical Evidence
false
review Depth
Abstract and selected source passages: Methodology; Conclusions and future research.
full Paper Appraisal
Not completed; review depth states the material assessed.
jadad
status
not-applicable
score
Not recorded
reason
Not a human randomized controlled trial.
condition Evidence
None recorded
conditions
None recorded
topic Trust Scores

1

full Text
status
open-license
retrieval Available
true
url
https://www.nature.com/articles/s41598-023-28367-9
rights
license
http://creativecommons.org/licenses/by/4.0/
authors
H., Tran-Ngoc; T., Le-Xuan; S., Khatir; G., De Roeck; T., Bui-Tien; Magd, Abdel Wahab
title
A promising approach using Fibonacci sequence-based optimization algorithms and advanced computing
doi
10.1038/s41598-023-28367-9
copyright
2023 The Author(s)
source
https://www.nature.com/articles/s41598-023-28367-9
transformation
Article sections extracted to plain text; navigation and recommendation sections removed. Equations, tables and image content may be incomplete; use the source for technical interpretation.
sha256
66eb2a8f823188afeb084eee92b27ccc32527068fbbf52b36ae533adfd9209a5
checked At
2026-10-24

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