DG-SMOTE: A Distance-Angle-Based Genetic Synthetic Minority Over-Sampling Technique for Unbalanced Data Learning

IF 11.7 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE IEEE Transactions on Evolutionary Computation Pub Date : 2024-12-11 DOI:10.1109/tevc.2024.3515485
Wenbin Pei, Yuyang Cui, Bing Xue, Mengjie Zhang, Jiqing Zhang, Yaqing Hou, Guangyu Zou, Zhang Qiang
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来源期刊
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation 工程技术-计算机:理论方法
CiteScore
21.90
自引率
9.80%
发文量
196
审稿时长
3.6 months
期刊介绍: The IEEE Transactions on Evolutionary Computation is published by the IEEE Computational Intelligence Society on behalf of 13 societies: Circuits and Systems; Computer; Control Systems; Engineering in Medicine and Biology; Industrial Electronics; Industry Applications; Lasers and Electro-Optics; Oceanic Engineering; Power Engineering; Robotics and Automation; Signal Processing; Social Implications of Technology; and Systems, Man, and Cybernetics. The journal publishes original papers in evolutionary computation and related areas such as nature-inspired algorithms, population-based methods, optimization, and hybrid systems. It welcomes both purely theoretical papers and application papers that provide general insights into these areas of computation.
期刊最新文献
Matrix and Learning-Assisted Distributed Dual-Space Memetic Algorithm for Customized Distributed Blocking Flowshop Scheduling Problem A Distribution Information-Based Kriging-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization Problems DG-SMOTE: A Distance-Angle-Based Genetic Synthetic Minority Over-Sampling Technique for Unbalanced Data Learning Surrogate-Assisted Neighborhood Search With Only a Few Weight Vectors for Expensive Large-Scale Multiobjective Binary Optimization Genetic Programming With Multi-Fidelity Surrogates for Large-Scale Dynamic Air Traffic Flow Management
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