摘要
Dear Editor, This letter is concerned with the evolution strategy for addressing multi-objective feature selection problems in classification. Previous methods suffer from limitations such as being trapped in local optima and lacking stability. To overcome them, we propose a novel eliteguided mechanism based on information theory. Firstly, an elite solution is generated through a dimension reduction strategy and incorporated to the initialization population.
基金
supported in part by the Japan Society for the Promotion of Science (JSPS) KAKENHI (JP22H 03643)
the Japan Science and Technology Agency (JST) (the establishment of university fellowships towards the creation of science technology innovation) (JPMJFS2115)。