Typical Constrained Optimization Formulation in Evolutionary Computation Not Suitable for Expensive Optimization. - Sanyou Zeng; Ruwang Jiao; Changhe Li; Bin Lan; Huanhuan Li; Jianqing Sun; Yongzhi Sun (ISICA (1), 2017)

Dynamic multi-objective evolutionary algorithms for single-objective optimization. - Ruwang Jiao; Sanyou Zeng; Jawdat S. Alkasassbeh; Changhe Li (Appl. Soft Comput., 2017)

A General Framework of Dynamic Constrained Multiobjective Evolutionary Algorithms for Constrained Optimization. - Sanyou Zeng; Ruwang Jiao; Changhe Li; Xi Li 019; Jawdat S. Alkasassbeh (IEEE Trans. Cybern., 2017)

Dynamic constrained multi-objective evolutionary algorithms with a novel selection strategy for constrained optimization. - Ruwang Jiao; Sanyou Zeng; Changhe Li; Yuhong Jiang (GECCO (Companion), 2018)

Expected improvement of constraint violation for expensive constrained optimization. - Ruwang Jiao; Sanyou Zeng; Changhe Li; Yuhong Jiang; Junchen Wang (GECCO, 2018)

Evolutionary Constrained Multi-objective Optimization using NSGA-II with Dynamic Constraint Handling. - Ruwang Jiao; Sanyou Zeng; Changhe Li; Witold Pedrycz (CEC, 2019)

Decomposition-Based Dynamic Multi-objective Evolutionary Algorithm for Global Optimization. - Qing Zhang 018; Ruwang Jiao; Sanyou Zeng; Zhigao Zeng (ISICA, 2019)

Constrained optimisation by solving equivalent dynamic loosely-constrained multiobjective optimisation problem. - Sanyou Zeng; Ruwang Jiao; Changhe Li; Rui Wang 017 (Int. J. Bio Inspired Comput., 2019)

A feasible-ratio control technique for constrained optimization. - Ruwang Jiao; Sanyou Zeng; Changhe Li (Inf. Sci., 2019)

A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization. - Ruwang Jiao; Sanyou Zeng; Changhe Li; Yuhong Jiang; Yaochu Jin (Inf. Sci., 2019)

Balancing Exploration and Exploitation With Decomposition-Based Dynamic Multi-Objective Evolutionary Algorithm. - Qing Zhang 018; Ruwang Jiao; Sanyou Zeng; Zhigao Zeng (Int. J. Cogn. Informatics Nat. Intell., 2021)

Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization. - Ruwang Jiao; Sanyou Zeng; Changhe Li; Yew-Soon Ong (Inf. Sci., 2021)

Handling Constrained Many-Objective Optimization Problems via Problem Transformation. - Ruwang Jiao; Sanyou Zeng; Changhe Li; Shengxiang Yang; Yew-Soon Ong (IEEE Trans. Cybern., 2021)

Handling Different Preferences Between Objectives for Multi-objective Feature Selection in Classification. - Ruwang Jiao; Bing Xue 001; Mengjie Zhang 001 (AI, 2022)

Investigating the Correlation Amongst the Objective and Constraints in Gaussian Process-Assisted Highly Constrained Expensive Optimization. - Ruwang Jiao; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2022)

A Multiform Optimization Framework for Constrained Multiobjective Optimization. - Ruwang Jiao; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Cybern., 2023)

Benefiting From Single-Objective Feature Selection to Multiobjective Feature Selection: A Multiform Approach. - Ruwang Jiao; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Cybern., 2023)

Artificial Intelligence-Guided Fully-Automatic Renal Segmentation. - Haijun Huang; Teng Tian; Jing Zhao; Yidong Gu; Ruwang Jiao; Tao Peng 013 (PRICAI (3), 2024)

A Tri-Objective Method for Bi-Objective Feature Selection in Classification. - Ruwang Jiao; Bing Xue 001; Mengjie Zhang 001 (Evol. Comput., 2024)

A Survey on Evolutionary Multiobjective Feature Selection in Classification: Approaches, Applications, and Challenges. - Ruwang Jiao; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

Solving Multiobjective Feature Selection Problems in Classification via Problem Reformulation and Duplication Handling. - Ruwang Jiao; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

Dual-Tree Genetic Programming for Automated Discovery of Computing Power Network Scheduling Heuristics. - Benjie Zhao; Ruwang Jiao; Meng Xu; Shuaishuai Liu; Chao Guo; Shaolin Wang; Jin Wang (CEC, 2025)

A Pareto Front Transformation Model for Multi- Objective-Based Constrained Optimization. - Sanyou Zeng; Rui Zhang; Ruwang Jiao; Qinghui Xu (IEEE Access, 2025)

Uncertainty estimation by boosting with Gaussian process for expensive optimization problems. - Hanhua Zou; Sanyou Zeng; Changhe Li; Ruwang Jiao; Fei Zhao (Appl. Soft Comput., 2025)

Sparse Learning-Based Feature Selection in Classification: A Multi-Objective Perspective. - Ruwang Jiao; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)