Ruwang Jiao (焦儒旺)

  Call for papers Special Session on Evolutionary Multi-objective Machine Learning (EMOML), IEEE WCCI 2024

  Tutorial on 'Evolutionary Multi-objective Feature Selection for Machine Learning', IEEE SSCI 2023

 Call for papers: Special Session on Evolutionary Multiobjective Machine Learning (EMOML), IEEE CEC 2023

1. Evolutionary optimization:
      Constrained optimization, multi-objective optimization, Bayesian optimization
2. Evolutionary machine learning:
      Dimensionality reduction, big data reduction, transfer learning
3. Real-world applications:
      Antenna deign, array synthesis

Full publication list: Google Scholar , ResearchGate , ORCID

1. Ruwang Jiao, Bing Xue, Mengjie Zhang. Learning to preselection: A filter-based performance predictor for multiobjective feature selection in classification[J]. IEEE Transactions on Evolutionary Computation, 2024, DOI: 10.1109/TEVC.2024.3373802.
2. Ruwang Jiao, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang. A survey on evolutionary multiobjective feature selection in classification: Approaches, applications, and challenges[J]. IEEE Transactions on Evolutionary Computation, 2023, DOI: 10.1109/TEVC.2023.3292527. [PDF]
3. Ruwang Jiao, Bing Xue, Mengjie Zhang. A tri-objective method for bi-objective feature selection in classification[J]. Evolutionary Computation, 2023, MIT Press, DOI: 10.1162/evco_a_00339.
4. Ruwang Jiao, Bing Xue, Mengjie Zhang. Benefiting from single-objective feature selection to multiobjective feature selection: A multiform approach[J]. IEEE Transactions on Cybernetics, 2022, DOI: 10.1109/TCYB.2022.3218345.
5. Ruwang Jiao, Bing Xue, Mengjie Zhang. Solving multiobjective feature selection problems in classification via problem reformulation and duplication handling[J]. IEEE Transactions on Evolutionary Computation, 2022, DOI: 10.1109/TEVC.2022.3215745.
6. Ruwang Jiao, Bing Xue, Mengjie Zhang. A multiform optimization framework for constrained multiobjective optimization[J]. IEEE Transactions on Cybernetics, 2023, 53(8):5165-5177. [CODE]
7. Ruwang Jiao, Bing Xue, Mengjie Zhang. Investigating the correlation amongst the objective and constraints in Gaussian process-assisted highly-constrained expensive optimization[J]. IEEE Transactions on Evolutionary Computation, 2022, 26(5): 872-885.
8. Ruwang Jiao, Sanyou Zeng, Changhe Li, Yew-Soon Ong. Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization[J]. Information Sciences, 2021, 578: 592-614. [CODE]
9. Ruwang Jiao, Sanyou Zeng, Changhe Li, Shengxiang Yang, Yew-Soon Ong. Handling constrained many-objective optimization problems via problem transformation[J]. IEEE Transactions on Cybernetics, 2021, 51(10): 4834-4847. [CODE] [Supplement]
10. Qinghui Xu, Sanyou Zeng, Fei Zhao, Ruwang Jiao, Changhe Li. On Formulating and Designing Antenna Arrays by Evolutionary Algorithms[J]. IEEE Transactions on Antennas and Propagation, 2021, 69(2):1118-1129.
11. Ruwang Jiao, Sanyou Zeng, Changhe Li, Yuhong Jiang, Yaochu Jin. A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization[J]. Information Sciences, 2019, 471C:80-96. [PDF] [CODE]
12. Ruwang Jiao, Sanyou Zeng, Changhe Li. A feasible-ratio control technique for constrained optimization[J]. Information Sciences, 2019, 502C:201-217. [PDF] [CODE]
13. Sanyou Zeng, Ruwang Jiao, Changhe Li, et al. Constrained optimisation by solving equivalent dynamic loosely-constrained multiobjective optimisation problem[J]. International Journal of Bio-Inspired Computation, 2019, 13(2): 86-101.
14. Ruwang Jiao, Yongzhi Sun, Jianqing Sun, Yuhong Jiang, Sanyou Zeng.. Antenna design using dynamic multi-objective evolutionary algorithm[J]. IET Microwaves, Antennas & Propagation, 2018, 12(13): 2065-2072.
15. Sanyou Zeng, Ruwang Jiao, Changhe Li, Xi Li, Jawdat S. Alkasassbeh. A general framework of dynamic constrained multiobjective evolutionary algorithms for constrained optimization[J]. IEEE Transactions on Cybernetics, 2017, 47(9): 2678-2688. [PDF] [Supplement] [CODE]
16. Ruwang Jiao, Sanyou Zeng, Jawdat S. Alkasassbeh, Changhe Li. Dynamic multi-objective evolutionary algorithms for single-objective optimization[J]. Applied Soft Computing, 2017,61:793-805.