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Machine learningSwarm Intelligence

Uboreshaji wa Harris Hawks

Uboreshaji wa Harris Hawks (HHO) ni algoriti ya metaheuristic iliyoanzishwa na Heidari et al. mnamo 2019, ikiongozwa na mikakati ya uwindaji ya koho wa Harris. Algoriti huiga tabia ya uwindaji wa ushirikiano na mikakati ya kutoroka ya ndege hawa walao nyama ili kutatua matatizo changamano ya uboreshaji. HHO husawazisha uchunguzi kupitia kutua na unyonyaji kupitia ufuatiliaji wa nguvu, na kuifanya kuwa na ufanisi kwa uboreshaji wa multimodal na wa vipimo vingi.

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Vyanzo

  1. Heidari, A. A., Mirjalili, S., Faris, H., Aljarah, I., Mafarja, M., & Chen, H. (2019). Harris hawks optimization: Algorithm and applications. Future Generation Computer Systems, 97, 849-872. DOI: 10.1016/j.future.2019.02.028

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Harris Hawks Optimization. ScholarGate. https://scholargate.app/sw/optimization/harris-hawks-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

ScholarGateHarris Hawks Optimization (Harris Hawks Optimization). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/optimization/harris-hawks-optimization · Seti ya data: https://doi.org/10.5281/zenodo.20539026