A modified grey wolf optimizer for wind farm layout optimization problem
Author:
Funder
South Asian University
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13198-024-02462-0.pdf
Reference61 articles.
1. Al-Tashi Q, Md Rais H, Abdulkadir SJ, Mirjalili S, Alhussian H (2020) A review of grey wolf optimizer-based feature selection methods for classification. In: Mirjalili S, Faris H, Aljarah I (eds) Evolutionary machine learning techniques. algorithms for intelligent systems. Springer, Singapore. https://doi.org/10.1007/978-981-32-9990-0_13
2. Alatas B (2010) Chaotic bee colony algorithms for global numerical optimization. Expert Syst Appl 37:5682–5687
3. Bäck T, Schwefel HP (1993) An overview of evolutionary algorithms for parameter optimization. Evol Comput 1:1–23
4. Bai F, Ju X, Wang S, Zhou W, Liu F (2022) Wind farm layout optimization using adaptive evolutionary algorithm with monte Carlo tree search reinforcement learning. Energy Convers Manage 252:115047
5. Banaie-Dezfouli M, Nadimi-Shahraki MH, Beheshti Z (2021) R-gwo: representative-based grey wolf optimizer for solving engineering problems. Appl Soft Comput 106:107328
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