Feature Extraction for Recommendation of Constrained Multiobjective Evolutionary Algorithms

The evolutionary algorithm recommendation is catching increasing attention when solving practical application problems since different algorithms often perform differently on different problems. To achieve the algorithm recommendation, extracting effective features to accurately characterize the pro...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 27; H. 4; S. 949 - 963
Hauptverfasser:	Qiao, Kangjia, Yu, Kunjie, Qu, Boyang, Liang, Jing, Yue, Caitong, Ban, Xuanxuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithm recommendation constrained multiobjective optimization Constraints Evolutionary algorithms Evolutionary computation Feature extraction Genetic algorithms Machine learning algorithms Mathematical analysis Multiple objective analysis Optimization Prediction algorithms Recommender systems Sociology Task analysis
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!