Ruwang Jiao

Orcid: 0000-0003-0780-1110

According to our database1, Ruwang Jiao authored at least 17 papers between 2017 and 2023.

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Bibliography

2023
Benefiting From Single-Objective Feature Selection to Multiobjective Feature Selection: A Multiform Approach.
IEEE Trans. Cybern., December, 2023

A Multiform Optimization Framework for Constrained Multiobjective Optimization.
IEEE Trans. Cybern., 2023

2022
Investigating the Correlation Amongst the Objective and Constraints in Gaussian Process-Assisted Highly Constrained Expensive Optimization.
IEEE Trans. Evol. Comput., 2022

Handling Different Preferences Between Objectives for Multi-objective Feature Selection in Classification.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021
Handling Constrained Many-Objective Optimization Problems via Problem Transformation.
IEEE Trans. Cybern., 2021

Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization.
Inf. Sci., 2021

Balancing Exploration and Exploitation With Decomposition-Based Dynamic Multi-Objective Evolutionary Algorithm.
Int. J. Cogn. Informatics Nat. Intell., 2021

2019
A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization.
Inf. Sci., 2019

A feasible-ratio control technique for constrained optimization.
Inf. Sci., 2019

Constrained optimisation by solving equivalent dynamic loosely-constrained multiobjective optimisation problem.
Int. J. Bio Inspired Comput., 2019

Decomposition-Based Dynamic Multi-objective Evolutionary Algorithm for Global Optimization.
Proceedings of the Artificial Intelligence Algorithms and Applications, 2019

Evolutionary Constrained Multi-objective Optimization using NSGA-II with Dynamic Constraint Handling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Expected improvement of constraint violation for expensive constrained optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Dynamic constrained multi-objective evolutionary algorithms with a novel selection strategy for constrained optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017
A General Framework of Dynamic Constrained Multiobjective Evolutionary Algorithms for Constrained Optimization.
IEEE Trans. Cybern., 2017

Dynamic multi-objective evolutionary algorithms for single-objective optimization.
Appl. Soft Comput., 2017

Typical Constrained Optimization Formulation in Evolutionary Computation Not Suitable for Expensive Optimization.
Proceedings of the Computational Intelligence and Intelligent Systems, 2017


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