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2020 – today
- 2024
[c8]Jiyuan Pei
, Jialin Liu, Yi Mei:
Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework. GECCO 2024- [i3]Jiyuan Pei, Jialin Liu, Yi Mei:
Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework. CoRR abs/2404.10252 (2024) - 2023
- [c7]Jiyuan Pei, Hao Tong, Jialin Liu, Yi Mei, Xin Yao:
Local Optima Correlation Assisted Adaptive Operator Selection. GECCO 2023: 339-347 - [c6]Chengpeng Hu, Jiyuan Pei, Jialin Liu, Xin Yao:
Evolving Constrained Reinforcement Learning Policy. IJCNN 2023: 1-8 - [i2]Chengpeng Hu, Jiyuan Pei, Jialin Liu, Xin Yao:
Evolving Constrained Reinforcement Learning Policy. CoRR abs/2304.09869 (2023) - [i1]Jiyuan Pei, Hao Tong, Jialin Liu, Yi Mei, Xin Yao:
Local Optima Correlation Assisted Adaptive Operator Selection. CoRR abs/2305.02805 (2023) - 2022
- [c5]Jiyuan Pei, Yi Mei, Jialin Liu, Xin Yao:
An Investigation of Adaptive Operator Selection in Solving Complex Vehicle Routing Problem. PRICAI (1) 2022: 562-573 - 2021
- [c4]Jiyuan Pei, Chengpeng Hu, Jialin Liu, Yi Mei, Xin Yao:
Bi-Objective Splitting Delivery VRP with Loading Constraints and Restricted Access. SSCI 2021: 1-9 - [c3]Hao Tong, Jiyuan Pei, Qingquan Zhang, Jialin Liu, Xudong Feng, Feng Wu:
Learning Boosts Optimisation: Surrogate-Assisted Real Engine Calibration. SSCI 2021: 1-7 - 2020
- [c2]Chenhao Li, Jiyuan Pei, Qingquan Zhang, Jialin Liu, Xin Yao:
An Extendable Platform for Routing Problem: Optimisation, Evaluation and Solution Visualisation. SSCI 2020: 2391-2398 - [c1]Qingquan Zhang, Feng Wu, Yang Tao, Jiyuan Pei, Jialin Liu, Xin Yao:
D-MAENS2: A Self-adaptive D-MAENS Algorithm with Better Decision Diversity. SSCI 2020: 2754-2761
Coauthor Index
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