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An efficient global optimization algorithm with adaptive estimates of the local Lipschitz constants

Danny D’Agostino

Journal of Global Optimization2026https://doi.org/10.1007/s10898-025-01555-9preprint
AJG 2
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0.40

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https://doi.org/https://doi.org/10.1007/s10898-025-01555-9

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@article{danny2026,
  title        = {{An efficient global optimization algorithm with adaptive estimates of the local Lipschitz constants}},
  author       = {Danny D’Agostino},
  journal      = {Journal of Global Optimization},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s10898-025-01555-9},
}

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An efficient global optimization algorithm with adaptive estimates of the local Lipschitz constants

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Evidence weight

0.40

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

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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