Jinghui Zhong
Cited by
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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
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
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
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
Self-learning gene expression programming
J Zhong, YS Ong, W Cai
IEEE Transactions on Evolutionary Computation 20 (1), 65-80, 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
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
Gene expression programming: A survey
J Zhong, L Feng, YS Ong
IEEE Computational Intelligence Magazine 12 (3), 54-72, 2017
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
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
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
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
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
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
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
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
Energy-efficient local wake-up scheduling in wireless sensor networks
J Zhong, J Zhang
2011 IEEE Congress of Evolutionary Computation (CEC), 2280-2284, 2011
Differential evolution with sensitivity analysis and the Powell's method for crowd model calibration
J Zhong, W Cai
Journal of computational science 9, 26-32, 2015
An adaptive archive-based evolutionary framework for many-task optimization
Y Chen, J Zhong, L Feng, J Zhang
IEEE Transactions on Emerging Topics in Computational Intelligence 4 (3 …, 2019
Automatic model construction for the behavior of human crowds
J Zhong, W Cai, M Lees, L Luo
Applied Soft Computing 56, 368-378, 2017
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