2019
DOI: 10.1007/s42405-019-00187-0
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Frequency-Based Damage Assessment of Composite Members Using Unified Particle Swarm Optimization

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Cited by 6 publications
(2 citation statements)
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References 46 publications
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“…The interaction of the particles with its own previous locations and the best performing locations yields PSO algorithms an element of swarm intelligence not found in other evolutionary optimization techniques such as genetic algorithms. The PSO has found many applications indifferent fields including parameter identification [17], topology optimization [18], damage detection [19] etc. Ghannadi et al [20] present an overview of all the papers using PSO for damage detection.…”
Section: Damage Mappingmentioning
confidence: 99%
“…The interaction of the particles with its own previous locations and the best performing locations yields PSO algorithms an element of swarm intelligence not found in other evolutionary optimization techniques such as genetic algorithms. The PSO has found many applications indifferent fields including parameter identification [17], topology optimization [18], damage detection [19] etc. Ghannadi et al [20] present an overview of all the papers using PSO for damage detection.…”
Section: Damage Mappingmentioning
confidence: 99%
“…Its main disadvantage is, however, that it can converge prematurely before reaching the best result (global optimum). To overcome this shortcoming, various improvements have been made to the method and satisfactory results have been obtained for damage detection in laminated composites (Rao et al 2015;Masoumi et al 2018;Jebieshia et al 2020).…”
Section: Introductionmentioning
confidence: 99%