How effective is the Grey Wolf optimizer in training multi-layer perceptrons

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Mirjalili, Seyedali. “How Effective Is the Grey Wolf Optimizer in Training Multi-Layer Perceptrons”. Applied Intelligence, vol. 43, no. 1, 2015, pp. 150-61, https://doi.org/10.1007/s10489-014-0645-7.
Mirjalili, S. (2015). How effective is the Grey Wolf optimizer in training multi-layer perceptrons. Applied Intelligence, 43(1), 150-161. https://doi.org/10.1007/s10489-014-0645-7
Mirjalili, Seyedali. “How Effective Is the Grey Wolf Optimizer in Training Multi-Layer Perceptrons”. Applied Intelligence 43, no. 1 (2015): 150-61. https://doi.org/10.1007/s10489-014-0645-7.
Mirjalili S. How effective is the Grey Wolf optimizer in training multi-layer perceptrons. Applied Intelligence. 2015;43(1):150-61.
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The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 179 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Grey Wolf Optimizer for parameter estimation in surface waves and was published in 2015. The most recent citation comes from a 2024 study titled Cleaner fish optimization algorithm: a new bio-inspired meta-heuristic optimization algorithm. This article reached its peak citation in 2021, with 67 citations. It has been cited in 191 different journals, 18% of which are open access. Among related journals, the IEEE Access cited this research the most, with 22 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year