Bayesian Mixed-Integer Programming — Surrogate-Assisted Optimization over Mixed-Integer Search Spaces
Uchanganuzi wa Bayesian wa Programu Changanyifu za Nambari (BO-MIP) huunganisha modeli ya kiishara ya uwezekano — kwa kawaida mchakato wa Gaussian — na mshughulikiaji wa programu changanyifu za nambari ili kuboresha kwa ufanisi malengo ya gharama kubwa ya kisanduku-cheusi yaliyofafanuliwa juu ya nafasi zinazojumuisha vigezo vya uamuzi vinavyoendelea na vile vile vya kidijitali au vya nambari kamili. Ni muhimu sana pale ambapo kila tathmini ya kitendakazi ni ya gharama kubwa na utafutaji wa kina hauwezekani.
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Vyanzo
- Baptista, R., Poloczek, M. (2018). Bayesian Optimization of Combinatorial Structures. Proceedings of the 35th International Conference on Machine Learning (ICML), PMLR 80:462–471. link ↗
- Bonami, P., Biegler, L. T., Conn, A. R., Cornuejols, G., Grossmann, I. E., Laird, C. D., Lee, J., Lodi, A., Margot, F., Sawaya, N., Wächter, A. (2008). An algorithmic framework for convex mixed integer nonlinear programs. Discrete Optimization, 5(2), 186–204. DOI: 10.1016/j.disopt.2006.10.011 ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Bayesian Mixed-Integer Programming — Surrogate-Assisted Optimization over Mixed-Integer Search Spaces. ScholarGate. https://scholargate.app/sw/simulation/bayesian-mixed-integer-programming
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Utaftaji wa BayesianUboreshaji↔ compare
- Mixed-Integer ProgrammingUigaji↔ compare
- Multi-objective mixed-integer programmingUigaji↔ compare
- Uchambuzi wa Programu Mchanganyiko-Nusu-Imara (Robust Mixed-Integer Programming)Uigaji↔ compare
- Upangaji wa Mchanganyiko wa StochastikiUigaji↔ compare
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