An Extendable Platform for Routing Problem: Optimisation, Evaluation and Solution Visualisation. - Chenhao Li; Jiyuan Pei; Qingquan Zhang; Jialin Liu 001; Xin Yao 001 (SSCI, 2020)

D-MAENS2: A Self-adaptive D-MAENS Algorithm with Better Decision Diversity. - Qingquan Zhang; Feng Wu; Yang Tao; Jiyuan Pei; Jialin Liu 001; Xin Yao 001 (SSCI, 2020)

Bi-Objective Splitting Delivery VRP with Loading Constraints and Restricted Access. - Jiyuan Pei; Chengpeng Hu; Jialin Liu 001; Yi Mei 001; Xin Yao 001 (SSCI, 2021)

Learning Boosts Optimisation: Surrogate-Assisted Real Engine Calibration. - Hao Tong; Jiyuan Pei; Qingquan Zhang; Jialin Liu 001; Xudong Feng; Feng Wu (SSCI, 2021)

An Investigation of Adaptive Operator Selection in Solving Complex Vehicle Routing Problem. - Jiyuan Pei; Yi Mei 001; Jialin Liu 001; Xin Yao 001 (PRICAI (1), 2022)

Local Optima Correlation Assisted Adaptive Operator Selection. - Jiyuan Pei; Hao Tong; Jialin Liu 001; Yi Mei 001; Xin Yao 001 (GECCO, 2023)

Evolving Constrained Reinforcement Learning Policy. - Chengpeng Hu; Jiyuan Pei; Jialin Liu 001; Xin Yao 001 (IJCNN, 2023)

Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework. - Jiyuan Pei; Jialin Liu 001; Yi Mei 001 (GECCO, 2024)

LiBOG: Lifelong Learning for Black-Box Optimizer Generation. - Jiyuan Pei; Yi Mei 001; Jialin Liu 001; Mengjie Zhang 001 (CoRR, 2025)

Adaptive Operator Selection for Meta-Heuristics: A Survey. - Jiyuan Pei; Yi Mei 001; Jialin Liu 001; Mengjie Zhang 001; Xin Yao 001 (IEEE Trans. Artif. Intell., 2025)