| Evolutionary computation meets machine learning: A survey J Zhang, Z Zhan, Y Lin, N Chen, Y Gong, J Zhong, HSH Chung, Y Li, ... IEEE Computational Intelligence Magazine 6 (4), 68-75, 2011 | 200 | 2011 |
| Comparison of performance between different selection strategies on simple genetic algorithms J Zhong, X Hu, J Zhang, M Gu International conference on computational intelligence for modelling …, 2005 | 171 | 2005 |
| Implementation of an ant colony optimization technique for job shop scheduling problem J Zhang, X Hu, X Tan, JH Zhong, Q Huang Transactions of the Institute of Measurement and Control 28 (1), 93-108, 2006 | 123 | 2006 |
| Self-learning gene expression programming J Zhong, YS Ong, W Cai IEEE Transactions on Evolutionary Computation 20 (1), 65-80, 2015 | 72 | 2015 |
| A differential evolution algorithm with dual populations for solving periodic railway timetable scheduling problem J Zhong, M Shen, J Zhang, HSH Chung, YH Shi, Y Li Evolutionary Computation, IEEE Transactions on 17 (4), 512-527, 2013 | 70 | 2013 |
| Evolutionary multitasking via explicit autoencoding L Feng, L Zhou, J Zhong, A Gupta, YS Ong, KC Tan, AK Qin IEEE transactions on cybernetics 49 (9), 3457-3470, 2018 | 68 | 2018 |
| Evolutionary multitasking in combinatorial search spaces: A case study in capacitated vehicle routing problem L Zhou, L Feng, J Zhong, YS Ong, Z Zhu, E Sha 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 49 | 2016 |
| Gene expression programming: A survey J Zhong, L Feng, YS Ong IEEE Computational Intelligence Magazine 12 (3), 54-72, 2017 | 45 | 2017 |
| Automatic rule identification for agent-based crowd models through gene expression programming J Zhong, L Luo, W Cai, M Lees Proceedings of the 2014 international conference on Autonomous agents and …, 2014 | 43 | 2014 |
| An empirical study of multifactorial PSO and multifactorial DE L Feng, W Zhou, L Zhou, SW Jiang, JH Zhong, BS Da, ZX Zhu, Y Wang 2017 IEEE Congress on Evolutionary Computation (CEC), 921-928, 2017 | 41 | 2017 |
| Ant colony optimization algorithm for lifetime maximization in wireless sensor network with mobile sink J Zhong, J Zhang Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012 | 38 | 2012 |
| Multifactorial genetic programming for symbolic regression problems J Zhong, L Feng, W Cai, YS Ong IEEE transactions on systems, man, and cybernetics: systems 50 (11), 4492-4505, 2018 | 36 | 2018 |
| Learning behavior patterns from video: A data-driven framework for agent-based crowd modeling J Zhong, W Cai, L Luo, H Yin Proceedings of the 2015 International Conference on Autonomous Agents and …, 2015 | 33 | 2015 |
| Density-based evolutionary framework for crowd model calibration J Zhong, N Hu, W Cai, M Lees, L Luo Journal of Computational Science 6, 11-22, 2015 | 32 | 2015 |
| IBED: Combining IBEA and DE for optimal feature selection in software product line engineering Y Xue, J Zhong, TH Tan, Y Liu, W Cai, M Chen, J Sun Applied Soft Computing 49, 1215-1231, 2016 | 27 | 2016 |
| Learning behavior patterns from video for agent-based crowd modeling and simulation J Zhong, W Cai, L Luo, M Zhao Autonomous Agents and Multi-Agent Systems 30 (5), 990-1019, 2016 | 24 | 2016 |
| Energy-efficient local wake-up scheduling in wireless sensor networks J Zhong, J Zhang 2011 IEEE Congress of Evolutionary Computation (CEC), 2280-2284, 2011 | 23 | 2011 |
| Automatic model construction for the behavior of human crowds J Zhong, W Cai, M Lees, L Luo Applied Soft Computing 56, 368-378, 2017 | 21 | 2017 |
| Continuous function optimization using hybrid ant colony approach with orthogonal design scheme J Zhang, W Chen, J Zhong, X Tan, Y Li Asia-Pacific Conference on Simulated Evolution and Learning, 126-133, 2006 | 21 | 2006 |
| An enhanced genetic algorithm with orthogonal design X Hu, J Zhang, J Zhong 2006 IEEE International Conference on Evolutionary Computation, 3174-3181, 2006 | 20 | 2006 |
