Slime Mould Algorithm: A Comprehensive Survey of Its Variants and Applications

Meta-heuristic algorithms have a high position among academic researchers in various fields, such as science and engineering, in solving optimization problems. These algorithms can provide the most optimal solutions for optimization problems. This paper investigates a new meta-heuristic algorithm called Slime Mould algorithm (SMA) from different optimization aspects. The SMA algorithm was invented due to the fluctuating behavior of slime mold in nature. It has several new features with a unique mathematical model that uses adaptive weights to simulate the biological wave. It provides an optimal pathway for connecting food with high exploration and exploitation ability. As of 2020, many types of research based on SMA have been published in various scientific databases, including IEEE, Elsevier, Springer, Wiley, Tandfonline, MDPI, etc. Based on SMA, four areas of hybridization, progress, changes and optimization are analyzed in this survey, with usage rates of 15%, 36%, 7%, and 42% respectively.

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Recommended citation: Gharehchopogh F. S., Uçan A., Ibrikci T., Arasteh B., Isik G., (2023) Slime Mould Algorithm: A Comprehensive Survey of Its Variants and Applications, Archives of Computational Methods in Engineering, 30(4), 2683-2723