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2020 – today
- 2024
[j14]Ruwang Jiao
, Bing Xue, Mengjie Zhang:
A Tri-Objective Method for Bi-Objective Feature Selection in Classification. Evol. Comput. 32(3): 217-248 (2024)- [j13]Ruwang Jiao, Bing Xue, Mengjie Zhang:
Solving Multiobjective Feature Selection Problems in Classification via Problem Reformulation and Duplication Handling. IEEE Trans. Evol. Comput. 28(4): 846-860 (2024) - [j12]Ruwang Jiao, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A Survey on Evolutionary Multiobjective Feature Selection in Classification: Approaches, Applications, and Challenges. IEEE Trans. Evol. Comput. 28(4): 1156-1176 (2024) - [c7]Haijun Huang, Teng Tian, Jing Zhao, Yidong Gu, Ruwang Jiao, Tao Peng:
Artificial Intelligence-Guided Fully-Automatic Renal Segmentation. PRICAI (3) 2024: 147-157 - 2023
- [j11]Ruwang Jiao, Bing Xue, Mengjie Zhang:
A Multiform Optimization Framework for Constrained Multiobjective Optimization. IEEE Trans. Cybern. 53(8): 5165-5177 (2023) - [j10]Ruwang Jiao, Bing Xue, Mengjie Zhang:
Benefiting From Single-Objective Feature Selection to Multiobjective Feature Selection: A Multiform Approach. IEEE Trans. Cybern. 53(12): 7773-7786 (2023) - 2022
- [j9]Ruwang Jiao, Bing Xue, Mengjie Zhang:
Investigating the Correlation Amongst the Objective and Constraints in Gaussian Process-Assisted Highly Constrained Expensive Optimization. IEEE Trans. Evol. Comput. 26(5): 872-885 (2022) - [c6]Ruwang Jiao, Bing Xue, Mengjie Zhang:
Handling Different Preferences Between Objectives for Multi-objective Feature Selection in Classification. AI 2022: 237-251 - 2021
- [j8]Qing Zhang, Ruwang Jiao, Sanyou Zeng, Zhigao Zeng:
Balancing Exploration and Exploitation With Decomposition-Based Dynamic Multi-Objective Evolutionary Algorithm. Int. J. Cogn. Informatics Nat. Intell. 15(4): 1-23 (2021) - [j7]Ruwang Jiao, Sanyou Zeng, Changhe Li, Yew-Soon Ong:
Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization. Inf. Sci. 578: 592-614 (2021) - [j6]Ruwang Jiao, Sanyou Zeng, Changhe Li, Shengxiang Yang, Yew-Soon Ong:
Handling Constrained Many-Objective Optimization Problems via Problem Transformation. IEEE Trans. Cybern. 51(10): 4834-4847 (2021)
2010 – 2019
- 2019
- [j5]Sanyou Zeng, Ruwang Jiao, Changhe Li, Rui Wang:
Constrained optimisation by solving equivalent dynamic loosely-constrained multiobjective optimisation problem. Int. J. Bio Inspired Comput. 13(2): 86-101 (2019) - [j4]Ruwang Jiao, Sanyou Zeng, Changhe Li, Yuhong Jiang, Yaochu Jin:
A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization. Inf. Sci. 471: 80-96 (2019) - [j3]Ruwang Jiao, Sanyou Zeng, Changhe Li:
A feasible-ratio control technique for constrained optimization. Inf. Sci. 502: 201-217 (2019) - [c5]Ruwang Jiao, Sanyou Zeng, Changhe Li, Witold Pedrycz:
Evolutionary Constrained Multi-objective Optimization using NSGA-II with Dynamic Constraint Handling. CEC 2019: 1634-1641 - [c4]Qing Zhang, Ruwang Jiao, Sanyou Zeng, Zhigao Zeng:
Decomposition-Based Dynamic Multi-objective Evolutionary Algorithm for Global Optimization. ISICA 2019: 115-126 - 2018
- [c3]Ruwang Jiao, Sanyou Zeng, Changhe Li, Yuhong Jiang:
Dynamic constrained multi-objective evolutionary algorithms with a novel selection strategy for constrained optimization. GECCO (Companion) 2018: 213-214 - [c2]Ruwang Jiao, Sanyou Zeng, Changhe Li, Yuhong Jiang, Junchen Wang:
Expected improvement of constraint violation for expensive constrained optimization. GECCO 2018: 1039-1046 - 2017
- [j2]Ruwang Jiao, Sanyou Zeng, Jawdat S. Alkasassbeh, Changhe Li:
Dynamic multi-objective evolutionary algorithms for single-objective optimization. Appl. Soft Comput. 61: 793-805 (2017) - [j1]Sanyou Zeng, Ruwang Jiao, Changhe Li, Xi Li, Jawdat S. Alkasassbeh:
A General Framework of Dynamic Constrained Multiobjective Evolutionary Algorithms for Constrained Optimization. IEEE Trans. Cybern. 47(9): 2678-2688 (2017) - [c1]Sanyou Zeng, Ruwang Jiao, Changhe Li, Bin Lan, Huanhuan Li, Jianqing Sun, Yongzhi Sun:
Typical Constrained Optimization Formulation in Evolutionary Computation Not Suitable for Expensive Optimization. ISICA (1) 2017: 232-245
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