頭腦風暴優化算法

頭腦風暴優化算法是一種啟發式算法，專注於解決多模態問題，例如Yahya Rahmat-Samii研究的無線電天線設計，該算法受到頭腦風暴過程的啟發，由史玉回教授提出。 ^[1] ^[2]

與BSO算法相關的論文超過200篇已經出現在各種期刊和會議上。還有一些關於腦暴優化算法的特刊和特別會議環節在期刊和各種會議上出現，例如在《Memetic Computing Journal》上。 ^[3] ^[4]

該算法還有許多變體，例如方差頭腦風暴優化算法，在這個變體中，對象函數的評估基於假設或子方差而不是高斯方差^{[來源請求]}和以及全局最優腦暴優化算法，其中全局最優採用一種重新初始化方案，該方案由種群的當前狀態觸發，結合了每個變量的更新和基於適應度的分組。^[5]

卡爾頓大學的研究人員提出了另一種變體，通過使用周期性量子學習策略來提供新的動力，使個體能夠擺逃離局部最優（局部最優）。^[6]

已經進行了多項PSO和BSO之間的比較研究。^[7]最近出版的書籍包含了更多最新的參考資料。^[8]它也被用於設計5G網絡。^[9]

參考

^ Shi, Yuhui. Tan , 編. Advances in Swarm Intelligence. Lecture Notes in Computer Science 6728. 2011: 303–309. ISBN 978-3-642-21514-8. doi:10.1007/978-3-642-21515-5_36. Editors list列表中的|first2=缺少|last2= (幫助); Editors list列表中的|first4=缺少|last4= (幫助)
^ Qiu, Huaxin; Duan, Haibin. Receding horizon control for multiple UAV formation flight based on modified brain storm optimization. Nonlinear Dynamics. 2014, 78 (3): 1973–1988. S2CID 120591309. doi:10.1007/s11071-014-1579-7.
^ Keynote Speakers-ICCEM 2019. ICCEM 2019 conference. [16 August 2019]. （原始內容存檔於2019-08-14）.
^ Cheng, Shi; Shi, Yuhui. Thematic issue on "Brain Storm Optimization Algorithms". Memetic Computing. 2018, 10 (4): 351–352. doi:10.1007/s12293-018-0276-3 .
^ El-Abd, Mohammed. Global-best brain storm optimization algorithm. Swarm and Evolutionary Computation. 2017, 37: 27–44. doi:10.1016/j.swevo.2017.05.001.
^ Song, Zhenshou; Peng, Jiaqi; Li, Chunquan; Liu, Peter X. A Simple Brain Storm Optimization Algorithm With a Periodic Quantum Learning Strategy. IEEE Access. 2018, 6: 19968–19983. doi:10.1109/ACCESS.2017.2776958 .
^ Sato, Mayuko; Fukuyama, Yoshikazu. Total Optimization of Smart City by Modified Brain Storm Optimization. IFAC-PapersOnLine. 2018, 51 (28): 13–18. doi:10.1016/j.ifacol.2018.11.670 .
^ Cheng, S.; Shi, Y. Brain Storm Optimization Algorithms: Concepts, Principles and Applications, Part of Adaptation, Learning and Optimization Books. Adaptation, Learning, and Optimization 23. Springer Nature. 2019. ISBN 978-3-030-15069-3. doi:10.1007/978-3-030-15070-9.
^ Wu, Qiong; Xu, Tong; Huang, Jun S. A Quantum Twin Brain Storm Optimization for Fog Computing in 5G. DEStech Transactions on Engineering and Technology Research. 3 April 2018, (icmm). doi:10.12783/dtetr/icmm2017/20342 .

[1] Shi, Yuhui. Tan , 編. Advances in Swarm Intelligence. Lecture Notes in Computer Science 6728. 2011: 303–309. ISBN 978-3-642-21514-8. doi:10.1007/978-3-642-21515-5_36. Editors list列表中的|first2=缺少|last2= (幫助); Editors list列表中的|first4=缺少|last4= (幫助)

[2] Qiu, Huaxin; Duan, Haibin. Receding horizon control for multiple UAV formation flight based on modified brain storm optimization. Nonlinear Dynamics. 2014, 78 (3): 1973–1988. S2CID 120591309. doi:10.1007/s11071-014-1579-7.

[3] Keynote Speakers-ICCEM 2019. ICCEM 2019 conference. [16 August 2019]. （原始內容存檔於2019-08-14）.

[4] Cheng, Shi; Shi, Yuhui. Thematic issue on "Brain Storm Optimization Algorithms". Memetic Computing. 2018, 10 (4): 351–352. doi:10.1007/s12293-018-0276-3 .

[5] El-Abd, Mohammed. Global-best brain storm optimization algorithm. Swarm and Evolutionary Computation. 2017, 37: 27–44. doi:10.1016/j.swevo.2017.05.001.

[6] Song, Zhenshou; Peng, Jiaqi; Li, Chunquan; Liu, Peter X. A Simple Brain Storm Optimization Algorithm With a Periodic Quantum Learning Strategy. IEEE Access. 2018, 6: 19968–19983. doi:10.1109/ACCESS.2017.2776958 .

[7] Sato, Mayuko; Fukuyama, Yoshikazu. Total Optimization of Smart City by Modified Brain Storm Optimization. IFAC-PapersOnLine. 2018, 51 (28): 13–18. doi:10.1016/j.ifacol.2018.11.670 .

[8] Cheng, S.; Shi, Y. Brain Storm Optimization Algorithms: Concepts, Principles and Applications, Part of Adaptation, Learning and Optimization Books. Adaptation, Learning, and Optimization 23. Springer Nature. 2019. ISBN 978-3-030-15069-3. doi:10.1007/978-3-030-15070-9.

[9] Wu, Qiong; Xu, Tong; Huang, Jun S. A Quantum Twin Brain Storm Optimization for Fog Computing in 5G. DEStech Transactions on Engineering and Technology Research. 3 April 2018, (icmm). doi:10.12783/dtetr/icmm2017/20342 .

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