Artificial Bee Colony Algorithm Based on Quantum Bloch Spherical Optimization
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-45140-9_4
Reference8 articles.
1. Aoyang, H., Shengqi, Z., Xuehui, J., Zhisheng, Z.: Short-term load forecasting model based on RBF neural network optimized by artificial bee colony algorithm. In: 2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE), Nanchang, China, pp. 486–489 (2021)
2. Zhang, L.: A gravitational artificial bee colony optimization algorithm and application. In: 2018 Eighth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC), Harbin, China, pp. 1839–1842 (2018)
3. Li, H., Zhang, Y., Dan, Z., Ma, L., Zhang, C., Wang, Q.: Distributed interference optimization method of large-scale UAV based on tabu search artificial bee colony algorithm. In: 2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Xi'an, China, pp. 1–5 (2022)
4. Arostegui, A., Benítez, D.S., Caiza, L.: A fuzzy-PD controller optimized by artificial bee colony algorithm applied to a small-scale pasteurization plant. In: 2020 IEEE ANDESCON, Quito, Ecuador, pp. 1–6 (2020)
5. Bing, X., Youwei, Z., Xueyan, Z., Xuekai, S.: An improved artificial bee colony algorithm based on faster convergence. In: 2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA), Dalian, China, pp. 776–779 (2021). https://doi.org/10.1109/ICAICA52286.2021.9498254
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