Enhanced Gaussian bare-bones grasshopper optimization: Mitigating the performance concerns for feature selection
Expert Systems with Applications(2023)
摘要
•A multi-strategy boosted Grasshopper Optimizer named EGOA is proposed.•Two methods have been introduced into GOA and thus have a more appropriate balance.•The superior performance of EGOA is confirmed over various advanced algorithms.•It has been applied in the field of engineering optimization and feature selection.
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关键词
Grasshopper optimization algorithm,Gaussian bare-bones strategy,Elite opposition-based learning,Structural design problems,Feature selection
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