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A survey of the state-of-the-art swarm intelligence techniques and their application to an inverse design problem

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Abstract

This paper encompasses a detailed review of state-of-the-art swarm-based algorithms, with a focus on their applications along with a discussion on the merits and limitations of each algorithm. Further, a recently developed advanced particle swarm optimization (APSO) algorithm is compared with the different state-of-the-art algorithms through solving an electromagnetic inverse problem. Results show that the APSO algorithm outperforms the other algorithms. This research provides a scientific guideline for the comparison of different swarm-based algorithms and their utilization regarding specific applications.

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    Talha Ali Khan & Sai Ho Ling

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Khan, T.A., Ling, S.H. A survey of the state-of-the-art swarm intelligence techniques and their application to an inverse design problem. J Comput Electron 19, 1606–1628 (2020). https://doi.org/10.1007/s10825-020-01567-6

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