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Algorithimu ya Kijeni ya Kibayesiani — Uboreshaji wa mageuzi unaoongozwa na mfumo wa uwezekano

Algorithimu ya Kijeni ya Kibayesiani (BGA) huchukua nafasi ya waendeshaji wa kawaida wa mseto na mabadiliko kwa mtandao wa uwezekano wa Kibayesiani unaojifunza kutoka kwa watu binafsi waliochaguliwa wenye ufaafu wa juu. Kila kizazi, algarithimu hujenga mfumo wa picha wa muundo wa suluhisho unaoahidi, kisha huchukua vizazi vipya kutoka kwa mfumo huo, ikiruhusu utafutaji kunasa na kutumia utegemezi wa vigeu ambao GA za kawaida hukosa.

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Vyanzo

  1. Pelikan, M., Goldberg, D. E., & Cantu-Paz, E. (1999). BOA: The Bayesian optimization algorithm. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-1999), pp. 525–532. Morgan Kaufmann. link
  2. Larranaga, P., & Lozano, J. A. (Eds.) (2002). Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation. Kluwer Academic Publishers, Boston. ISBN: 9781461352747

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Bayesian Genetic Algorithm — Probabilistic model-guided evolutionary optimization. ScholarGate. https://scholargate.app/sw/simulation/bayesian-genetic-algorithm

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Imerejelewa na

ScholarGateBayesian Genetic Algorithm (Bayesian Genetic Algorithm — Probabilistic model-guided evolutionary optimization). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/simulation/bayesian-genetic-algorithm · Seti ya data: https://doi.org/10.5281/zenodo.20539026