An Evolutionary Multitasking Method for High-Dimensional Receiver Operating Characteristic Convex Hull Maximization

Maximizing receiver operating characteristic convex hull (ROCCH) is a hot research topic of binary classification, since it can obtain good classifiers under either balanced or imbalanced situation. Recently, evolutionary algorithms (EAs) especially multi-objective evolutionary algorithms (MOEAs) ha...

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Veröffentlicht in:	IEEE transactions on emerging topics in computational intelligence 2024-04, Vol.8 (2), p.1699-1713
Hauptverfasser:	Cheng, Fan, Shu, Shengda, Zhang, Lei, Tan, Ming, Qiu, Jianfeng
Format:	Artikel
Sprache:	eng
Schlagworte:	classification Classification algorithms Convexity Evolutionary algorithms Evolutionary computation Evolutionary multitasking Genetic algorithms Knowledge management Knowledge transfer Maximization Measurement multi-objective evolutionary algorithm Multitasking Optimization Receivers ROC convex hull Sorting
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