Abstract
To improve the efficiency of meta-heuristic algorithms, a strong and efficient method is to divide the entire population into small complexes and perform parallel optimization in each of them. This idea was first time developed for the meta-heuristic algorithm so-called “Shuffled Complex Evolution” (SCE-UA) from the University of Arizona.
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Kaveh, A., Yousefpoor, H. (2024). Chaotic Shuffled Frog Lea** Algorithm. In: Chaotic Meta-heuristic Algorithms for Optimal Design of Structures. Studies in Computational Intelligence, vol 1129. Springer, Cham. https://doi.org/10.1007/978-3-031-48918-1_10
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DOI: https://doi.org/10.1007/978-3-031-48918-1_10
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