Performance of swarm intelligence based chaotic meta-heuristic algorithms in civil structural health monitoring
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Swarm intelligent algorithms assist in improving fitness functions in combinatorial and numerical optimization problems.
“By discovering different combinations of values, these algorithms assist in improving fitness functions in combinatorial and numerical optimization problems [259,260].”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [259]
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Keshmiry, A., Hassani, S., Mousavi, M., & Dackermann, U. (2023) · Buildings · doi:10.3390/buildings13040918 · Cited by 96 · see citing works
- Authors
- Das, S., & Saha, P.
- Affiliations
- KIIT University (IN)
- Corresponding author
- Das, Swagato
- Venue
- Measurement
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 169
- Pages
- 108533
- ISSN
- 0263-2241 (ISSN-L)
- OpenAlex
- W3089405697
- Cited by
- 34
- References
- 94
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 6 · 2023: 6 · 2022: 9 · 2021: 8
- FWCI
- 3.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Measurement (publishedVersion)
- Topics
- Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
- Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Maintenance and Monitoring
- Keywords
- structural health monitoring, swarm intelligence, metaheuristic optimization, chaotic maps, bird swarm algorithm, firefly algorithm, whale optimization algorithm, dragonfly algorithm, flower pollination algorithm, damage detection
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