An effective control design approach based on novel enhanced aquila optimizer for automatic voltage regulator
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Link
https://link.springer.com/content/pdf/10.1007/s10462-022-10216-2.pdf
Reference83 articles.
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2. Abualigah L, Diabat A, Elaziz MA (2021a) Improved slime mould algorithm by opposition-based learning and Levy flight distribution for global optimization and advances in real-world engineering problems. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-021-03372-w
3. Abualigah L, Diabat A, Mirjalili S et al (2021b) The arithmetic optimization algorithm. Comput Methods Appl Mech Eng 376:113609. https://doi.org/10.1016/j.cma.2020.113609
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5. AlRassas AM, Al-qaness MAA, Ewees AA et al (2021) Optimized ANFIS model using aquila optimizer for oil production forecasting. Processes 9:1194. https://doi.org/10.3390/pr9071194
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