Process / pipelineSimulation / optimization

Bayesov genetski algoritam — Evolucijska optimizacija vođena probabilističkim modelom

Bayesov genetski algoritam (BGA) zamjenjuje tradicionalne operatore križanja i mutacije probabilističkom Bayesovom mrežom naučenom iz odabranih jedinki visoke prilagodbe. U svakoj generaciji algoritam gradi grafički model obećavajuće strukture rješenja, a zatim uzorkuje novo potomstvo iz tog modela, omogućujući pretraživanju da uhvati i iskoristi ovisnosti varijabli koje standardni genetski algoritmi propuštaju.

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Izvori

  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

Kako citirati ovu stranicu

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

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Citirana u

ScholarGateBayesian Genetic Algorithm (Bayesian Genetic Algorithm — Probabilistic model-guided evolutionary optimization). Preuzeto 2026-06-15 s https://scholargate.app/hr/simulation/bayesian-genetic-algorithm · Skup podataka: https://doi.org/10.5281/zenodo.20539026