On the assessment of meta-heuristic algorithms for automatic voltage regulator system controller design: a standardization process-Reference-Cited by-同舟云学术

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On the assessment of meta-heuristic algorithms for automatic voltage regulator system controller design: a standardization process

Published:2024-03-22 Issue: Volume: Page:
ISSN:0948-7921
Container-title:Electrical Engineering
language:en
Short-container-title:Electr Eng

Author:

Çavdar Bora,Şahin Erdinç,Sesli Erhan

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00202-024-02314-x.pdf

Reference117 articles.

1. Dehghani M, Trojovská E, Zuščák T (2022) A new human-inspired metaheuristic algorithm for solving optimization problems based on mimicking sewing training. Sci Rep 12:17387. https://doi.org/10.1038/s41598-022-22458-9

2. Kaya E, Gorkemli B, Akay B, Karaboga D (2022) A review on the studies employing artificial bee colony algorithm to solve combinatorial optimization problems. Eng Appl Artif Intell 115:105311. https://doi.org/10.1016/j.engappai.2022.105311

3. Eberhart R, Kennedy J (1995) A new optimizer using particle swarm theory. In: MHS’95. Proceedings of the sixth international symposium on micro machine and human science. IEEE, pp 39–43. https://doi.org/10.1109/MHS.1995.494215

4. Dorigo M, Birattari M, Stutzle T (2006) Ant colony optimization. IEEE Comput Intell Mag 1:28–39. https://doi.org/10.1109/MCI.2006.329691

5. Karaboga D, Basturk B (2007) A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J Global Optim 39:459–471. https://doi.org/10.1007/s10898-007-9149-x

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1. Efficient voltage regulation: An RW-ARO optimized cascaded controller approach;e-Prime - Advances in Electrical Engineering, Electronics and Energy;2024-09

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