Jing-Yu Ji

Orcid: 0000-0003-0148-8469

According to our database1, Jing-Yu Ji authored at least 13 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Surrogate-Assisted Evolutionary Algorithm for Seeking Multiple Solutions of Expensive Multimodal Optimization Problems.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

An ɛ-constrained multiobjective differential evolution with adaptive gradient-based repair method for real-world constrained optimization problems.
Appl. Soft Comput., 2024

Tri-Objective Differential Evolution with Gradient Information Reused for Constrained Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

An Improved Gradient-Based Repair Method for Constrained Numerical Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2022
ε-Constrained multiobjective differential evolution using linear population size expansion.
Inf. Sci., 2022

Decomposition-based multiobjective optimization for nonlinear equation systems with many and infinitely many roots.
Inf. Sci., 2022

Surrogate-assisted Parameter Re-initialization for Differential Evolution.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2021
Density-Enhanced Multiobjective Evolutionary Approach for Power Economic Dispatch Problems.
IEEE Trans. Syst. Man Cybern. Syst., 2021

An improved dynamic multi-objective optimization approach for nonlinear equation systems.
Inf. Sci., 2021

2019
Solving Nonlinear Equation Systems Using Multiobjective Differential Evolution.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

2018
A tri-objective differential evolution approach for multimodal optimization.
Inf. Sci., 2018

Multiobjective optimization with ϵ-constrained method for solving real-parameter constrained optimization problems.
Inf. Sci., 2018

2017
A two-stage coevolution approach for constrained optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017


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