Niching particle swarm optimization with equilibrium factor for multi-modal optimization Y Li, Y Chen, J Zhong, Z Huang Information Sciences 494, 233-246, 2019 | 44 | 2019 |
A hyper-heuristic framework for lifetime maximization in wireless sensor networks with a mobile sink J Zhong, Z Huang, L Feng, W Du, Y Li IEEE/CAA Journal of Automatica Sinica 7 (1), 223-236, 2019 | 42 | 2019 |
Data-driven crowd modeling techniques: A survey J Zhong, D Li, Z Huang, C Lu, W Cai ACM Transactions on Modeling and Computer Simulation (TOMACS) 32 (1), 1-33, 2022 | 20 | 2022 |
Two-echelon dispatching problem with mobile satellites in city logistics YL Lan, FG Liu, Z Huang, WWY Ng, J Zhong IEEE Transactions on Intelligent Transportation Systems 23 (1), 84-96, 2020 | 19 | 2020 |
Semantic linear genetic programming for symbolic regression Z Huang, Y Mei, J Zhong IEEE Transactions on Cybernetics 54 (2), 1321-1334, 2022 | 18 | 2022 |
Investigation of linear genetic programming for dynamic job shop scheduling Z Huang, Y Mei, M Zhang 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2021 | 12 | 2021 |
An investigation of multitask linear genetic programming for dynamic job shop scheduling Z Huang, F Zhang, Y Mei, M Zhang European Conference on Genetic Programming (Part of EvoStar), 162-178, 2022 | 11 | 2022 |
A fast parallel genetic programming framework with adaptively weighted primitives for symbolic regression Z Huang, J Zhong, L Feng, Y Mei, W Cai Soft Computing 24, 7523-7539, 2020 | 11 | 2020 |
Multitask linear genetic programming with shared individuals and its application to dynamic job shop scheduling Z Huang, Y Mei, F Zhang, M Zhang IEEE Transactions on Evolutionary Computation, 2023 | 10 | 2023 |
Graph-based linear genetic programming: a case study of dynamic scheduling Z Huang, Y Mei, F Zhang, M Zhang Proceedings of the Genetic and Evolutionary Computation Conference, 955-963, 2022 | 6 | 2022 |
Grammar-guided linear genetic programming for dynamic job shop scheduling Z Huang, Y Mei, F Zhang, M Zhang Proceedings of the Genetic and Evolutionary Computation Conference, 1137-1145, 2023 | 5 | 2023 |
A further investigation to improve linear genetic programming in dynamic job shop scheduling Z Huang, Y Mei, F Zhang, M Zhang 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 496-503, 2022 | 4 | 2022 |
Multi-population genetic programming with adaptively weighted building blocks for symbolic regression Z Huang, J Zhong, W Liu, Z Wu Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 4 | 2018 |
Toward evolving dispatching rules with flow control operations by grammar-guided linear genetic programming Z Huang, Y Mei, F Zhang, M Zhang IEEE Transactions on Evolutionary Computation, 2024 | 3 | 2024 |
Comparison of different computing platforms for implementing parallel genetic programming R Zeng, Z Huang, Y Chen, J Zhong, L Feng 2020 IEEE congress on evolutionary computation (CEC), 1-8, 2020 | 3 | 2020 |
A multi-objective hyper-heuristic for unmanned aerial vehicle data collection in wireless sensor networks Z Huang, C Lu, J Zhong 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1614-1621, 2019 | 3 | 2019 |
A deep learning assisted gene expression programming framework for symbolic regression problems J Zhong, Y Lin, C Lu, Z Huang Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | 3 | 2018 |
Genetic programming for lifetime maximization in wireless sensor networks with a mobile sink Y Li, Z Huang, J Zhong, L Feng Simulated Evolution and Learning: 11th International Conference, SEAL 2017 …, 2017 | 3 | 2017 |
Estimating the real positions of objects in images by using evolutionary algorithm Z Huang, W Liu, J Zhong 2017 International Conference on Machine Vision and Information Technology …, 2017 | 2 | 2017 |
Fitness Landscape Optimization Makes Stochastic Symbolic Search By Genetic Programming Easier Z Huang, Y Mei, F Zhang, M Zhang, W Banzhaf IEEE Transactions on Evolutionary Computation, 2025 | | 2025 |