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Uboreshaji wa Malengo Mengi wa Kibayesia — Utafutaji wa mpaka wa Pareto unaosaidiwa na wakala kwa upimaji wa kutokuwa na uhakika

Uboreshaji wa Malengo Mengi wa Kibayesia (BMOO/MOBO) hutumia mifumo ya wakala ya mchakato wa Gaussia kukadiria kazi nyingi za malengo zenye gharama kubwa na huongoza utafutaji kuelekea mpaka wa Pareto kwa tathmini halisi chache. Kwa kupima kutokuwa na uhakika wa utabiri katika kila hatua inayowezekana, inasawazisha uchunguzi wa maeneo yasiyojulikana dhidi ya unyonyaji wa suluhisho zenye matumaini, na kuifanya kuwa na nguvu hasa wakati kila tathmini ya kazi ina gharama kubwa kwa kompyuta au majaribio.

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Vyanzo

  1. Svenson, J., Santner, T. (2016). Multiobjective optimization of expensive-to-evaluate deterministic computer simulator models. Computational Statistics & Data Analysis, 94, 250-264. DOI: 10.1016/j.csda.2015.08.011
  2. Emmerich, M., Giannakoglou, K., Naujoks, B. (2006). Single- and multiobjective evolutionary optimization assisted by Gaussian random field metamodels. IEEE Transactions on Evolutionary Computation, 10(4), 421-439. DOI: 10.1109/TEVC.2005.859463

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Bayesian Multi-Objective Optimization (BMOO) — Surrogate-assisted Pareto frontier exploration under uncertainty. ScholarGate. https://scholargate.app/sw/simulation/bayesian-multi-objective-optimization

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ScholarGateBayesian Multi-Objective Optimization (Bayesian Multi-Objective Optimization (BMOO) — Surrogate-assisted Pareto frontier exploration under uncertainty). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/simulation/bayesian-multi-objective-optimization · Seti ya data: https://doi.org/10.5281/zenodo.20539026