Jinghui Zhong
Cited by
Cited by
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
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
Toward adaptive knowledge transfer in multifactorial evolutionary computation
L Zhou, L Feng, KC Tan, J Zhong, Z Zhu, K Liu, C Chen
IEEE transactions on cybernetics 51 (5), 2563-2576, 2020
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
Explicit evolutionary multitasking for combinatorial optimization: A case study on capacitated vehicle routing problem
L Feng, Y Huang, L Zhou, J Zhong, A Gupta, K Tang, KC Tan
IEEE transactions on cybernetics 51 (6), 3143-3156, 2020
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
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
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
Gene expression programming: A survey
J Zhong, L Feng, YS Ong
IEEE Computational Intelligence Magazine 12 (3), 54-72, 2017
Self-learning gene expression programming
J Zhong, YS Ong, W Cai
IEEE Transactions on Evolutionary Computation 20 (1), 65-80, 2015
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
A review on evolutionary multitask optimization: Trends and challenges
T Wei, S Wang, J Zhong, D Liu, J Zhang
IEEE Transactions on Evolutionary Computation 26 (5), 941-960, 2021
Solving generalized vehicle routing problem with occasional drivers via evolutionary multitasking
L Feng, L Zhou, A Gupta, J Zhong, Z Zhu, KC Tan, K Qin
IEEE transactions on cybernetics 51 (6), 3171-3184, 2019
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, 990-1019, 2016
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
Surrogate-assisted evolutionary framework with adaptive knowledge transfer for multi-task optimization
S Huang, J Zhong, WJ Yu
IEEE transactions on emerging topics in computing 9 (4), 1930-1944, 2019
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
A study of similarity measure between tasks for multifactorial evolutionary algorithm
L Zhou, L Feng, J Zhong, Z Zhu, B Da, Z Wu
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018
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
The system can't perform the operation now. Try again later.
Articles 1–20