Jinglu Li

According to our database, Jinglu Li authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Surrogate-assisted evolutionary algorithm with decomposition-based local learning for high-dimensional multi-objective optimization.

Jiangtao Shen, Peng Wang, Huachao Dong, Wenxin Wang, Jinglu Li

Expert Syst. Appl., 2024

A data-driven co-evolutionary exploration algorithm for computationally expensive constrained multi-objective problems.

Wenyi Long, Peng Wang, Huachao Dong, Jinglu Li, Chongbo Fu

Appl. Soft Comput., 2024

2023

Multi-objective constrained black-box optimization algorithm based on feasible region localization and performance-improvement exploration.

Jinglu Li, Huachao Dong, Peng Wang, Jiangtao Shen, Dezhou Qin

Appl. Soft Comput., November, 2023

An inverse model-guided two-stage evolutionary algorithm for multi-objective optimization.

Jiangtao Shen, Huachao Dong, Peng Wang, Jinglu Li, Wenxin Wang

Expert Syst. Appl., September, 2023

2022

A Two-stage Surrogate-Assisted Evolutionary Algorithm (TS-SAEA) for Expensive Multi/Many-objective Optimization.

Jinglu Li, Peng Wang, Huachao Dong, Jiangtao Shen

Swarm Evol. Comput., 2022

A classification surrogate-assisted multi-objective evolutionary algorithm for expensive optimization.

Jinglu Li, Peng Wang, Huachao Dong, Jiangtao Shen, Caihua Chen

Knowl. Based Syst., 2022

A multistage evolutionary algorithm for many-objective optimization.

Jiangtao Shen, Peng Wang, Huachao Dong, Jinglu Li, Wenxin Wang

Inf. Sci., 2022

Multi/many-objective evolutionary algorithm assisted by radial basis function models for expensive optimization.

Jinglu Li, Peng Wang, Huachao Dong, Jiangtao Shen

Appl. Soft Comput., 2022

2021

Surrogate-guided multi-objective optimization (SGMOO) using an efficient online sampling strategy.

Huachao Dong, Jinglu Li, Peng Wang, Baowei Song, Xinkai Yu

Knowl. Based Syst., 2021