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Combining gradient information and primitive directions for high-performance Bound-Constrained mixed-integer optimization

Matteo Lapucci et al.

Journal of Global Optimization2026https://doi.org/10.1007/s10898-025-01583-5preprint
AJG 2
Weight
0.50

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https://doi.org/https://doi.org/10.1007/s10898-025-01583-5

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@article{matteo2026,
  title        = {{Combining gradient information and primitive directions for high-performance Bound-Constrained mixed-integer optimization}},
  author       = {Matteo Lapucci et al.},
  journal      = {Journal of Global Optimization},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s10898-025-01583-5},
}

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Combining gradient information and primitive directions for high-performance Bound-Constrained mixed-integer optimization

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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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