Yu Xue1,2,* , Yan Zhao1
Journal on Internet of Things, Vol.3, No.3, pp. 109-118, 2021, DOI:10.32604/jiot.2021.014980
Abstract As a new intelligent optimization method, brain storm optimization
(BSO) algorithm has been widely concerned for its advantages in solving
classical optimization problems. Recently, an evolutionary classification
optimization model based on BSO algorithm has been proposed, which proves its
effectiveness in solving the classification problem. However, BSO algorithm
also has defects. For example, large-scale datasets make the structure of the
model complex, which affects its classification performance. In addition, in the
process of optimization, the information of the dominant solution cannot be well
preserved in BSO, which leads to its limitations in classification performance.
Moreover, its generation strategy is inefficient… More >
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