| Preserving and exploiting genetic diversity in evolutionary programming algorithms G Chen, CP Low, Z Yang IEEE Transactions on Evolutionary Computation 13 (3), 661-673, 2009 | 103 | 2009 |
| An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling J Park, Y Mei, S Nguyen, G Chen, M Zhang Applied Soft Computing 63, 72-86, 2018 | 102 | 2018 |
| A new multi classifier system using entropy-based features in DDoS attack detection A Koay, A Chen, I Welch, WKG Seah 2018 International conference on information networking (ICOIN), 162-167, 2018 | 62 | 2018 |
| Many-objective genetic programming for job-shop scheduling A Masood, Y Mei, G Chen, M Zhang 2016 IEEE congress on evolutionary computation (CEC), 209-216, 2016 | 55 | 2016 |
| Enhancing search performance in unstructured p2p networks based on users' common interest G Chen, CP Low, Z Yang IEEE Transactions on Parallel and Distributed Systems 19 (6), 821-836, 2008 | 55 | 2008 |
| Recent advances and future trends for automotive functional safety design methodologies G Xie, Y Li, Y Han, Y Xie, G Zeng, R Li IEEE Transactions on Industrial Informatics 16 (9), 5629-5642, 2020 | 51 | 2020 |
| Evolving heuristics for dynamic vehicle routing with time windows using genetic programming J Jacobsen-Grocott, Y Mei, G Chen, M Zhang 2017 IEEE Congress on Evolutionary Computation (CEC), 1948-1955, 2017 | 49 | 2017 |
| A New Framework for Multi-Agent Reinforcement Learning--Centralized Training and Exploration with Decentralized Execution via Policy Distillation G Chen arXiv preprint arXiv:1910.09152, 2019 | 48 | 2019 |
| Location-aware and budget-constrained service deployment for composite applications in multi-cloud environment T Shi, H Ma, G Chen, S Hartmann IEEE Transactions on Parallel and Distributed Systems 31 (8), 1954-1969, 2020 | 47 | 2020 |
| Energy-aware container consolidation based on PSO in cloud data centers T Shi, H Ma, G Chen 2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018 | 44 | 2018 |
| Coordinating multiple agents via reinforcement learning G Chen, Z Yang, H He, KM Goh Autonomous Agents and Multi-Agent Systems 10, 273-328, 2005 | 33 | 2005 |
| Optimizing controller placement for software-defined networks V Huang, G Chen, Q Fu, E Wen 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM …, 2019 | 31 | 2019 |
| Clinical significance and next-generation sequencing of Chinese pulmonary sarcomatoid carcinoma X Li, D Wang, Q Zhao, D Ren, F Ren, G Chen, H Liu, J Chen Scientific Reports 7 (1), 3947, 2017 | 31 | 2017 |
| A genetic-based approach to location-aware cloud service brokering in multi-cloud environment T Shi, H Ma, G Chen 2019 IEEE International Conference on Services Computing (SCC), 146-153, 2019 | 30 | 2019 |
| Designing games to educate diabetic children G Chen, N Baghaei, A Sarrafzadeh, C Manford, S Marshall, G Court Proceedings of the 23rd Australian Computer-Human Interaction Conference, 72-75, 2011 | 30 | 2011 |
| Multi-agent reinforcement learning for real-time dynamic production scheduling in a robot assembly cell D Johnson, G Chen, Y Lu IEEE Robotics and Automation Letters 7 (3), 7684-7691, 2022 | 29 | 2022 |
| Dynamic class imbalance learning for incremental LPSVM S Pang, L Zhu, G Chen, A Sarrafzadeh, T Ban, D Inoue Neural Networks 44, 87-100, 2013 | 29 | 2013 |
| Genetic programming based hyper-heuristics for dynamic job shop scheduling: Cooperative coevolutionary approaches J Park, Y Mei, S Nguyen, G Chen, M Johnston, M Zhang Genetic Programming: 19th European Conference, EuroGP 2016, Porto, Portugal …, 2016 | 28 | 2016 |
| An adaptive clipping approach for proximal policy optimization G Chen, Y Peng, M Zhang arXiv preprint arXiv:1804.06461, 2018 | 24 | 2018 |
| Evolutionary multitask optimisation for dynamic job shop scheduling using niched genetic programming J Park, Y Mei, S Nguyen, G Chen, M Zhang AI 2018: Advances in Artificial Intelligence: 31st Australasian Joint …, 2018 | 24 | 2018 |
