Surrogate-guided multi-objective optimization (SGMOO) using an efficient online sampling strategy. - Huachao Dong; Jinglu Li; Peng Wang 021; Baowei Song; Xinkai Yu (Knowl. Based Syst., 2021)

Multi/many-objective evolutionary algorithm assisted by radial basis function models for expensive optimization. - Jinglu Li; Peng Wang 021; Huachao Dong; Jiangtao Shen (Appl. Soft Comput., 2022)

A multistage evolutionary algorithm for many-objective optimization. - Jiangtao Shen; Peng Wang 021; Huachao Dong; Jinglu Li; Wenxin Wang (Inf. Sci., 2022)

A classification surrogate-assisted multi-objective evolutionary algorithm for expensive optimization. - Jinglu Li; Peng Wang 021; Huachao Dong; Jiangtao Shen; Caihua Chen (Knowl. Based Syst., 2022)

A Two-stage Surrogate-Assisted Evolutionary Algorithm (TS-SAEA) for Expensive Multi/Many-objective Optimization. - Jinglu Li; Peng Wang 021; Huachao Dong; Jiangtao Shen (Swarm Evol. Comput., 2022)

An inverse model-guided two-stage evolutionary algorithm for multi-objective optimization. - Jiangtao Shen; Huachao Dong; Peng Wang 021; Jinglu Li; Wenxin Wang (Expert Syst. Appl., 2023)

Multi-objective constrained black-box optimization algorithm based on feasible region localization and performance-improvement exploration. - Jinglu Li; Huachao Dong; Peng Wang 021; Jiangtao Shen; Dezhou Qin (Appl. Soft Comput., 2023)

A data-driven co-evolutionary exploration algorithm for computationally expensive constrained multi-objective problems. - Wenyi Long; Peng Wang 021; Huachao Dong; Jinglu Li; Chongbo Fu (Appl. Soft Comput., 2024)

Surrogate-assisted evolutionary algorithm with decomposition-based local learning for high-dimensional multi-objective optimization. - Jiangtao Shen; Peng Wang 021; Huachao Dong; Wenxin Wang; Jinglu Li (Expert Syst. Appl., 2024)

Digital twin-based stress prediction for autonomous grasping of underwater robots with reinforcement learning. - Xubo Yang; Jian Gao 003; Peng Wang; Yufeng Li 006; Shengfa Wang; Jinglu Li (Expert Syst. Appl., 2025)