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Process / pipeline

Uboreshaji unaotegemea wazee — Ubunifu unaosaidiwa na Metamodeli

Uboreshaji unaotegemea wazee, uliowekwa rasmi katika mfumo wa majaribio ya kompyuta wa Sacks et al. (1989) na kupendwa kwa uhandisi na Forrester et al. (2008), unachukua nafasi ya mchanganuo ghali sana au jaribio la kimwili na modeli bandia ya bei nafuu — inayoitwa mzee au metamodeli — na kisha huboresha mzee huyo badala yake. Mzee kwa kawaida huwa ni Kriging (Gaussian Process), Radial Basis Function, au polynomial response surface iliyofungwa kwa seti ndogo ya tathmini za ubunifu zilizochaguliwa kwa uangalifu na kusahihishwa mara kwa mara mchakato wa utafutaji unapoendelea.

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Vyanzo

  1. Forrester, A., Sobester, A., & Keane, A. (2008). Engineering Design via Surrogate Modelling: A Practical Guide. Wiley. link
  2. Sacks, J., Welch, W. J., Mitchell, T. J., & Wynn, H. P. (1989). Design and Analysis of Computer Experiments. Statistical Science, 4(4), 409-423. DOI: 10.1214/ss/1177012413

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 1). Surrogate-Based Optimization (Metamodel-Assisted Optimization). ScholarGate. https://scholargate.app/sw/optimization/surrogate-optimization

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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.

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Imerejelewa na

ScholarGateSurrogate-Based Optimization (Surrogate-Based Optimization (Metamodel-Assisted Optimization)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/optimization/surrogate-optimization · Seti ya data: https://doi.org/10.5281/zenodo.20539026