Global Optimization: A Hybrid Social Spider-Prey and Kestrel-Based Search Strategy in Multi-dimensional Search Space
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-95630-1_17
Reference20 articles.
1. Frimpong, S.O., Agbehadji, I.E., Millham, R.C., Jung, J.J.: Nature-inspired search method for cost optimization of hybrid renewable energy generation at the edge. In: 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD), Durban, South Africa, pp. 1–6. IEEE (2020)
2. Agbehadji, I.E., Millham, R.C., Jung, J.J., Bui, K.-H.N., Fong, S., Abdultaofeek, A., Frimpong, S.O.: Bio-inspired energy efficient clustering approach for wireless sensor networks. In: 7th International Conference on Wireless Networks and Mobile Communications (WINCOM 2019), Fez, Morocco, p. 8. IEEE (2019)
3. Agbehadji, I.E., Millham, R., Abayomi, A., Fong, S.J., Jason, J.J., Frimpong, S.O.: Clustering algorithm based on nature-inspired approach for energy optimization in heterogeneous wireless sensor network. Appl. Soft Comput. 104, 107171 (2021)
4. Agbehadji, I.E., Awuzie, B.O., Ngowi, A.B., Millham, R.C.: Review of big data analytics, artificial intelligence and nature-inspired computing models towards accurate detection of COVID-19 pandemic cases and contact tracing. Int. J. Environ. Res. Public Health 17(15), 1–13 (2020)
5. Agbehadji, I.E., Millham, R., Fong, S., Hong, H.-J.: Kestrel-based Search Algorithm (KSA) for parameter tuning unto Long Short Term Memory (LSTM) Network for feature selection in classification of high-dimensional bioinformatics datasets. In: Proceedings of the Federated Conference on Computer Science and Information Systems, pp. 15–20 (2018)
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