Abstract
This study aims to increase the performance of the Salp Swarm optimization algorithm (SSA), which was inspired by nature. Lévy flight and Logarithmic Spiral are two new and successful techniques integrated into the SSA optimization algorithm concurrently to maintain a high level of global exploration and a good balance between global and local searches. The Lévy flight search technique is used to control the global search and salp-position updating mechanism. The Logarithmic Spiral method is used to improve the quality of the solution, balance local development abilities, and enhance the global search capabilities of the algorithm. The suggested ISSA’s performance is assessed by addressing different engineering problems. The results showed considerable effectiveness compared to the SSA technique and showed superiority and efficacy when comparing test results to other meta-heuristic algorithms.
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Nasri, D., Mokeddem, D. (2022). Improved Salp Swarm Optimization Algorithm for Engineering Problems. In: Senouci, M.R., Boulahia, S.Y., Benatia, M.A. (eds) Advances in Computing Systems and Applications. CSA 2022. Lecture Notes in Networks and Systems, vol 513. Springer, Cham. https://doi.org/10.1007/978-3-031-12097-8_22
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