Feature selection based on multimodal multi-objective particle swarm optimization and prior information

Due to the conflicting objectives of classification accuracy and selected features size, feature selection is typically approached as a multi-objective optimization problem. However, traditional methods often overlook the inherent multimodal nature of feature selection. Additionally, these methods m...

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Bibliographic Details
Published in:	Pattern analysis and applications : PAA Vol. 28; no. 4; p. 181
Main Authors:	Liu, Wenkai, Ling, Qinghua, Han, Fei, Han, Henry, Shi, Jinlong
Format:	Journal Article
Language:	English
Published:	London Springer London 01.12.2025 Springer Nature B.V
Subjects:	Accuracy Algorithms Archives & records Artificial intelligence Classification Computer Science Datasets Equivalence Feature selection Genetic algorithms Machine learning Methods Multiple objective analysis Mutation Optimization Original Article Particle swarm optimization Pattern Recognition Feature selection Multimodal multiobjective optimization Niching technique Particle swarm optimization ReliefF
ISSN:	1433-7541, 1433-755X
Online Access:	Get full text
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