Andi Tang, Huan Zhou*, Tong Han, Lei Xie
CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.1, pp. 331-364, 2022, DOI:10.32604/cmes.2021.017310
Abstract The sparrow search algorithm (SSA) is a newly proposed meta-heuristic optimization algorithm based on the
sparrow foraging principle. Similar to other meta-heuristic algorithms, SSA has problems such as slow convergence
speed and difficulty in jumping out of the local optimum. In order to overcome these shortcomings, a chaotic
sparrow search algorithm based on logarithmic spiral strategy and adaptive step strategy (CLSSA) is proposed in
this paper. Firstly, in order to balance the exploration and exploitation ability of the algorithm, chaotic mapping is
introduced to adjust the main parameters of SSA. Secondly, in order to improve the diversity of the population… More >
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