Process / pipeline

Optimizator sivog vuka — GWO

Optimizator sivog vuka (GWO) je metaheuristika rojenja uvedena od strane Mirjalilija, Mirjalilija i Lewisa 2014. godine, koja modelira društvenu hijerarhiju i kooperativno ponašanje sivih vukova u lovu. Populacija kandidatskih rješenja podijeljena je u četiri liderska ranga — alfa, beta, delta i omega — a tri najbolja rješenja u svakoj iteraciji vode cijelo jato prema sve boljim regijama prostora pretraživanja.

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Izvori

  1. Mirjalili, S., Mirjalili, S. M., & Lewis, A. (2014). Grey Wolf Optimizer. Advances in Engineering Software, 69, 46-61. DOI: 10.1016/j.advengsoft.2013.12.007
  2. Faris, H., Aljarah, I., Al-Betar, M. A., & Mirjalili, S. (2018). Grey Wolf Optimizer: A Review of Recent Variants and Applications. Neural Computing and Applications, 30(2), 413-435. DOI: 10.1007/s00521-017-3272-5

Kako citirati ovu stranicu

ScholarGate. (2026, June 1). Grey Wolf Optimizer (GWO). ScholarGate. https://scholargate.app/hr/optimization/grey-wolf-optimizer

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ScholarGateGrey Wolf Optimizer (Grey Wolf Optimizer (GWO)). Preuzeto 2026-06-15 s https://scholargate.app/hr/optimization/grey-wolf-optimizer · Skup podataka: https://doi.org/10.5281/zenodo.20539026