Ruwang Jiao

According to our database, Ruwang Jiao authored at least 21 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Solving Multiobjective Feature Selection Problems in Classification via Problem Reformulation and Duplication Handling.

Ruwang Jiao, Bing Xue, Mengjie Zhang

IEEE Trans. Evol. Comput., August, 2024

A Survey on Evolutionary Multiobjective Feature Selection in Classification: Approaches, Applications, and Challenges.

Ruwang Jiao, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang

IEEE Trans. Evol. Comput., August, 2024

A Tri-Objective Method for Bi-Objective Feature Selection in Classification.

Ruwang Jiao, Bing Xue, Mengjie Zhang

Evol. Comput., 2024

Artificial Intelligence-Guided Fully-Automatic Renal Segmentation.

Haijun Huang, Teng Tian, Jing Zhao, Yidong Gu, Ruwang Jiao, Tao Peng

Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

2023

Benefiting From Single-Objective Feature Selection to Multiobjective Feature Selection: A Multiform Approach.

Ruwang Jiao, Bing Xue, Mengjie Zhang

IEEE Trans. Cybern., December, 2023

A Multiform Optimization Framework for Constrained Multiobjective Optimization.

Ruwang Jiao, Bing Xue, Mengjie Zhang

IEEE Trans. Cybern., 2023

2022

Investigating the Correlation Amongst the Objective and Constraints in Gaussian Process-Assisted Highly Constrained Expensive Optimization.

Ruwang Jiao, Bing Xue, Mengjie Zhang

IEEE Trans. Evol. Comput., 2022

Handling Different Preferences Between Objectives for Multi-objective Feature Selection in Classification.

Ruwang Jiao, Bing Xue, Mengjie Zhang

Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

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

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

Balancing Exploration and Exploitation With Decomposition-Based Dynamic Multi-Objective Evolutionary Algorithm.

Qing Zhang, Ruwang Jiao, Sanyou Zeng, Zhigao Zeng

Int. J. Cogn. Informatics Nat. Intell., 2021

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

A feasible-ratio control technique for constrained optimization.

Ruwang Jiao, Sanyou Zeng, Changhe Li

Inf. Sci., 2019

Constrained optimisation by solving equivalent dynamic loosely-constrained multiobjective optimisation problem.

Sanyou Zeng, Ruwang Jiao, Changhe Li, Rui Wang

Int. J. Bio Inspired Comput., 2019

Decomposition-Based Dynamic Multi-objective Evolutionary Algorithm for Global Optimization.

Qing Zhang, Ruwang Jiao, Sanyou Zeng, Zhigao Zeng

Proceedings of the Artificial Intelligence Algorithms and Applications, 2019

Evolutionary Constrained Multi-objective Optimization using NSGA-II with Dynamic Constraint Handling.

Ruwang Jiao, Sanyou Zeng, Changhe Li, Witold Pedrycz

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Expected improvement of constraint violation for expensive constrained optimization.

Ruwang Jiao, Sanyou Zeng, Changhe Li, Yuhong Jiang, Junchen Wang

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Dynamic constrained multi-objective evolutionary algorithms with a novel selection strategy for constrained optimization.

Ruwang Jiao, Sanyou Zeng, Changhe Li, Yuhong Jiang

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017

A General Framework of Dynamic Constrained Multiobjective Evolutionary Algorithms for Constrained Optimization.

Sanyou Zeng, Ruwang Jiao, Changhe Li, Xi Li, Jawdat S. Alkasassbeh

IEEE Trans. Cybern., 2017

Dynamic multi-objective evolutionary algorithms for single-objective optimization.

Ruwang Jiao, Sanyou Zeng, Jawdat S. Alkasassbeh, Changhe Li

Appl. Soft Comput., 2017

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

Proceedings of the Computational Intelligence and Intelligent Systems, 2017