IEEE/CAA Journal of Automatica Sinica
Citation: | Z. Wang, S. Gao, Z. Lei, and M. Omura, “An information-based elite-guided evolutionary algorithm for multi-objective feature selection,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 1, pp. 264–266, Jan. 2024. doi: 10.1109/JAS.2023.123810 |
[1] |
B. Xue, M. Zhang, W. N. Browne, and X. Yao, “A survey on evolutionary computation approaches to feature selection,” IEEE Trans. Evolutionary Computation, vol. 20, no. 4, pp. 606–626, 2015.
|
[2] |
K. Dunne, P. Cunningham, and F. Azuaje, “Solutions to instability problems with sequential wrapper-based approaches to feature selection,” J. Machine Learning Research, vol. 1, pp. 1–22, 2002.
|
[3] |
Y. Hua, Q. Liu, K. Hao, and Y. Jin, “A survey of evolutionary algorithms for multi-objective optimization problems with irregular pareto fronts,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 2, pp. 303–318, 2021. doi: 10.1109/JAS.2021.1003817
|
[4] |
B. Xue, M. Zhang, and W. N. Browne, “Particle swarm optimization for feature selection in classification: A multi-objective approach,” IEEE Trans. Cyber., vol. 43, no. 6, pp. 1656–1671, 2012.
|
[5] |
F. Cheng, F. Chu, Y. Xu, and L. Zhang, “A steering-matrix-based multiobjective evolutionary algorithm for high-dimensional feature selection,” IEEE Trans. Cybern., vol. 52, no. 9, pp. 9695–9708, 2021.
|
[6] |
Z. Wang, S. Gao, M. Zhou, S. Sato, J. Cheng, and J. Wang, “Information-theory-based nondominated sorting ant colony optimization for multiobjective feature selection in classification,” IEEE Trans. Cyber., vol. 53, no. 8, pp. 5276–5289, 2023. doi: 10.1109/TCYB.2022.3185554
|
[7] |
B. Ahadzadeh, M. Abdar, F. Safara, A. Khosravi, M. B. Menhaj, and P. N. Suganthan, “SFE: A simple, fast and efficient feature selection algorithm for high-dimensional data,” IEEE Trans. Evolutionary Computation, pp. 1–15, 2023. DOI: 10.1109/TEVC.2023.3238420
|
[8] |
C. Yue, B. Qu, and J. Liang, “A multiobjective particle swarm optimizer using ring topology for solving multimodal multiobjective problems,” IEEE Trans. Evolutionary Computation, vol. 22, no. 5, pp. 805–817, 2017.
|
[9] |
H. Xu, B. Xue, and M. Zhang, “A duplication analysis-based evolutionary algorithm for biobjective feature selection,” IEEE Trans. Evolutionary Computation, vol. 25, no. 2, pp. 205–218, 2020.
|
[10] |
Y. Tian, R. Cheng, X. Zhang, and Y. Jin, “PlatEMO: A MATLAB platform for evolutionary multi-objective optimization,” IEEE Computational Intelligence Magazine, vol. 12, no. 4, pp. 73–87, 2017. doi: 10.1109/MCI.2017.2742868
|
[11] |
Y. Tian, X. Zhang, C. Wang, and Y. Jin, “An evolutionary algorithm for large-scale sparse multiobjective optimization problems,” IEEE Trans. Evolutionary Computation, vol. 24, no. 2, pp. 380–393, 2019.
|
[12] |
Y. Tian, C. Lu, X. Zhang, K. C. Tan, and Y. Jin, “Solving large-scale multiobjective optimization problems with sparse optimal solutions via unsupervised neural networks,” IEEE Trans. Cyber., vol. 51, no. 6, pp. 3115–3128, 2020.
|
[13] |
D. Dua and C. Graff, “UCI machine learning repository,” 2017. [Online]. Available: http://archive.ics.uci.edu/ml.
|