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Transient search optimization: a new meta-heuristic optimization algorithm

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Abstract

This article offers a new physical-based meta-heuristic optimization algorithm, which is named Transient Search Optimization (TSO) algorithm. This algorithm is inspired by the transient behavior of switched electrical circuits that include storage elements such as inductance and capacitance. The exploration and exploitation of the TSO algorithm are verified by using twenty-three benchmark, where its statistical (average and standard deviation) results are compared with the most recent 15 optimization algorithms. Furthermore, the non-parametric sign test, p value test, execution time, and convergence curves proved the superiority of the TSO against other algorithms. Also, the TSO algorithm is applied for the optimal design of three well-known constrained engineering problems (coil spring, welded beam, and pressure vessel). In conclusion, the comparison revealed that the TSO is promising and very competitive algorithm for solving different engineering problems.

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Acknowledgments

The authors would like to thank the Deanship of Scientific Research, King Saud University for funding and supporting this research through the initiative of graduate students research support (GSR).

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Authors and Affiliations

  1. Electrical Engineering Department, Faculty of Engineering, King Saud University, Riyadh, 11421, Saudi Arabia

    Mohammed H. Qais & Saad Alghuwainem

  2. Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo, 11517, Egypt

    Hany M. Hasanien

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  1. Mohammed H. Qais
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Correspondence to Mohammed H. Qais.

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Qais, M.H., Hasanien, H.M. & Alghuwainem, S. Transient search optimization: a new meta-heuristic optimization algorithm. Appl Intell 50, 3926–3941 (2020). https://doi.org/10.1007/s10489-020-01727-y

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