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Brain storm optimization algorithm

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This is an old revision of this page, as edited by Phil Bridger (talk | contribs) at 10:56, 19 October 2019 (contest deletion proposal with an untrue rationale - searches in fact yield many books and academic papers to support this). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

The brain storm optimization algorithm is a heuristic algorithm that focuses on solving multi-modal problems, such as radio antennas design worked on by Yahya Rahmat-Samii, inspired by the brainstorming process, proposed by Dr. Yuhui Shi.[1][2]

More than 200 papers related to BSO algorithms have appeared in various journals and conferences. There have also been special issues and special sessions on Brain Storm Optimization algorithm in journals and various conferences, such as Memetic Computing Journal.[3][4]

References

  1. ^ Shi, Yuhui (2011). "Brain Storm Optimization Algorithm". In Tan, Y.; Shi, Y.; Chai, Y.; Wang, G. (eds.). Advances in Swarm Intelligence. pp. 303–309. doi:10.1007/978-3-642-21515-5_36.
  2. ^ Qiu, Huaxin; Duan, Haibin. "Receding horizon control for multiple UAV formation flight based on modified brain storm optimization". Nonlinear Dynamics. 78 (3): 1973–1988. doi:10.1007/s11071-014-1579-7.
  3. ^ "Keynote Speakers-ICCEM 2019". ICCEM 2019 conference. Retrieved 16 August 2019.
  4. ^ Cheng, Shi; Shi, Yuhui. "Thematic issue on "Brain Storm Optimization Algorithms"". Memetic Computing. 10: 351–352. doi:10.1007/s12293-018-0276-3.
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