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An effective golden ratio-inspired oppositional teaching–learning-based optimization algorithm for damage detection in laminated composite beams

Sebahat Şimşek

Engineering Optimization2026https://doi.org/10.1080/0305215x.2025.2611993article
AJG 2
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0.50

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https://doi.org/https://doi.org/10.1080/0305215x.2025.2611993

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@article{sebahat2026,
  title        = {{An effective golden ratio-inspired oppositional teaching–learning-based optimization algorithm for damage detection in laminated composite beams}},
  author       = {Sebahat Şimşek},
  journal      = {Engineering Optimization},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/0305215x.2025.2611993},
}

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An effective golden ratio-inspired oppositional teaching–learning-based optimization algorithm for damage detection in laminated composite beams

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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