Analysis of risk factors based on gray wolf sensing optimization algorithm
Risk factor analysis is a key research topic in the field of computer science.Due to the complexity of risk factors and the tendency of search algorithms to become trapped in local optima,this paper proposes a grey wolf sensing optimization algo-rithm(GWSOA).This algorithm employs a grey wolf optimization algorithm with sensing and mutation capabilities to filter the ini-tial set of risk factors,aiming to determine the final set of risk factors.Experiments conducted on 12 datasets demonstrate that GWSOA achieves the best average fitness values on 11 of these datasets,outperforming all baseline methods.
risk factor analysissearch algorithmgrey wolf sensing optimization algorithm
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