Jing J. Liang

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 46

Top Topics

Multiobjective Optimization

Differential Evolution

Top Venues

Swarm Evol. Comput.

IEEE Trans. Geosci. Remote. Sens.

IEEE Congress on Evolutionary Computation

Publications

Jing J. Liang, Zexuan Yang, Ying Bi, Boyang Qu, Mengnan Liu, Bing Xue, Mengjie Zhang
A Multitree Genetic Programming-Based Feature Construction Approach to Crop Classification Using Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Bin Wu, Xun Su, Jing J. Liang, Zhongchuan Sun, Lihong Zhong, Yangdong Ye
Graph gating-mixer for sequential recommendation. Expert Syst. Appl. 238 (Part E) (2024)
Hongyu Lin, Jing J. Liang, Caitong Yue, Yaonan Wang
A Niching-Based Reproduction and Preselection-Based Multiobjective Differential Evolution for Multimodal Multiobjective Optimization. CEC (2024)
Kangjia Qiao, Jing J. Liang, Kunjie Yu, Xuanxuan Ban, Caitong Yue, Boyang Qu, Ponnuthurai Nagaratnam Suganthan
Constraints Separation Based Evolutionary Multitasking for Constrained Multi-Objective Optimization Problems. IEEE CAA J. Autom. Sinica 11 (8) (2024)
Tianlei Ma, Qi Ma, Zhen Yang, Jing J. Liang, Jun Fu, Yu Dou, Yanan Ku, Usman Ahmad, Liangqiong Qu
MCDNet: An Infrared Small Target Detection Network Using Multi-Criteria Decision and Adaptive Labeling Strategy. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Peng Chen, Jing J. Liang, Kangjia Qiao, Ponnuthurai Nagaratnam Suganthan, Xuanxuan Ban
A Two-Stage Evolutionary Framework for Multi-Objective Optimization. CEC (2024)
Tianlei Ma, Hao Wang, Jing J. Liang, Jinzhu Peng, Qi Ma, Zhiqiang Kai
MSMA-Net: An Infrared Small Target Detection Network by Multiscale Super-Resolution Enhancement and Multilevel Attention Fusion. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Quan Sui, Jingyu Zhang, Le Sun, Jing J. Liang, Fanrong Wei, Xiangning Lin
Optimal Scheduling of Mobile Energy Storage Capable of Variable Speed Energy Transmission. IEEE Trans. Smart Grid 15 (3) (2024)
Zhengyu Zhu, Jiaxue Li, Zheng Chu, Jing J. Liang, Hehao Niu, De Mi, Cheng Yin, Peijia Liu
Active Reconfigurable Intelligent Surface Enhanced Internet of Medical Things. IEEE J. Biomed. Health Informatics 28 (7) (2024)
Yanqi Wei, Jikai Si, Rui Nie, Peixin Wang, Shuai Xu, Chun Gan, Jing J. Liang
Unified Analytical Modeling of Armature Magnetic Field of Slotless PM Motor With Equidirectional Toroidal Winding. IEEE Trans. Ind. Electron. 71 (9) (2024)
Jing J. Liang, Ke Li, Kunjie Yu, Caitong Yue, Yaxin Li, Hui Song
A Novel Differential Evolution Algorithm Based on Local Fitness Landscape Information for Optimization Problems. IEICE Trans. Inf. Syst. 106 (5) (2023)
Zhengyu Zhu, Zheng Li, Zheng Chu, Qingqing Wu, Jing J. Liang, Yunlu Xiao, Peijia Liu, Inkyu Lee
Intelligent Reflecting Surface-Assisted Wireless Powered Heterogeneous Networks. IEEE Trans. Wirel. Commun. 22 (12) (2023)
Jing J. Liang, Kangjia Qiao, Kunjie Yu, Boyang Qu, Caitong Yue, Weifeng Guo, Ling Wang
Utilizing the Relationship Between Unconstrained and Constrained Pareto Fronts for Constrained Multiobjective Optimization. IEEE Trans. Cybern. 53 (6) (2023)
Jing J. Liang, Xuanxuan Ban, Kunjie Yu, Boyang Qu, Kangjia Qiao, Caitong Yue, Ke Chen, Kay Chen Tan
A Survey on Evolutionary Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. 27 (2) (2023)
Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang
Feature clustering-Assisted feature selection with differential evolution. Pattern Recognit. 140 (2023)
Jikai Si, Yanqi Wei, Rui Nie, Jing J. Liang, Chun Gan, Yihua Hu
Analytical Modeling of Slotless Axial Flux Permanent Magnet Motor With Equidirectional Toroidal Winding. IEEE Trans. Ind. Electron. 70 (10) (2023)
Tianlei Ma, Zhen Yang, Yi-Fan Song, Jing J. Liang, Heshan Wang
DMEF-Net: Lightweight Infrared Dim Small Target Detection Network for Limited Samples. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Shuyan Zhang, Tailong Yang, Jing J. Liang, Caitong Yue
A Novel Adaptive Bandit-Based Selection Hyper-Heuristic for Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53 (12) (2023)
Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang
Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach. IEEE Trans. Evol. Comput. 27 (2) (2023)
Yinan Guo, Mingyi Huang, Guoyu Chen, Dunwei Gong, Jing J. Liang, Zekuan Yu
A dynamic constrained multiobjective evolutionary algorithm based on decision variable classification. Swarm Evol. Comput. 83 (2023)
Jing J. Liang, Leiyu Zhang, Kunjie Yu, Boyang Qu, Fuxing Shang, Kangjia Qiao
Interactive niching-based two-stage evolutionary algorithm for constrained multiobjective optimization. Swarm Evol. Comput. 83 (2023)
Guang Li, Jie Wang, Jing J. Liang, Caitong Yue, Tai-Shan Lou
Parameter optimisation of sliding window algorithm based on ensemble multi-objective evolutionary computation. Int. J. Bio Inspired Comput. 19 (4) (2022)
Yaxin Li, Kunjie Yu, Jing J. Liang, Caitong Yue, Kangjia Qiao
A landscape-aware particle swarm optimization for parameter identification of photovoltaic models. Appl. Soft Comput. 131 (2022)
Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang
Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers. AI (2022)
Yaxin Li, Jing J. Liang, Kunjie Yu, Ke Chen, Yinan Guo, Caitong Yue, Leiyu Zhang
Adaptive local landscape feature vector for problem classification and algorithm selection. Appl. Soft Comput. 131 (2022)
Caitong Yue, Ponnuthurai N. Suganthan, Jing J. Liang, Boyang Qu, Kunjie Yu, Yongsheng Zhu, Li Yan
Differential evolution using improved crowding distance for multimodal multiobjective optimization. Swarm Evol. Comput. 62 (2021)
Caitong Yue, Jing J. Liang, Ponnuthurai N. Suganthan, Bo-Yang Qu, Kunjie Yu, S. Liu
MMOGA for Solving Multimodal Multiobjective Optimization Problems with Local Pareto Sets. CEC (2020)
Caitong Yue, Jing J. Liang, Bo-Yang Qu, Kunjie Yu, Hui Song
Multimodal Multiobjective Optimization in Feature Selection. CEC (2019)
Jing J. Liang, Yaxin Li, Boyang Qu, Kunjie Yu, Yi Hu
Mutation Strategy Selection Based on Fitness Landscape Analysis: A Preliminary Study. BIC-TA (1) (2019)
Jing J. Liang, Haotian Yang, Jiajia Gao, Caitong Yue, Shilei Ge, Boyang Qu
MOPSO-Based CNN for Keyword Selection on Google Ads. IEEE Access 7 (2019)
Yi Hu, Jie Wang, Jing J. Liang, Kunjie Yu, Hui Song, Qianqian Guo, Caitong Yue, Yanli Wang
A self-organizing multimodal multi-objective pigeon-inspired optimization algorithm. Sci. China Inf. Sci. 62 (7) (2019)
Boyang Qu, Jing J. Liang, Yongsheng Zhu, Ponnuthurai N. Suganthan
Solving dynamic economic emission dispatch problem considering wind power by multi-objective differential evolution with ensemble of selection method. Nat. Comput. 18 (4) (2019)
Kunjie Yu, S. L. Ge, Bo-Yang Qu, Jing J. Liang
A Modified Particle Swarm Optimization for Parameters Identification of Photovoltaic Models. CEC (2019)
Hui Song, A. Kai Qin, Pei-Wei Tsai, Jing J. Liang
Multitasking Multi-Swarm Optimization. CEC (2019)
Jing J. Liang, Haotian Yang, Wenting Sun, Jiajia J. Gao
PSO-based CNN for Keyword Selection on Google Ads. CEC (2019)
Caitong Yue, Boyang Qu, Kunjie Yu, Jing J. Liang, Xiaodong Li
A novel scalable test problem suite for multimodal multiobjective optimization. Swarm Evol. Comput. 48 (2019)
Jing J. Liang, Panpan Wei, Boyang Qu, Kunjie Yu, Caitong Yue, Yi Hu, Shilei Ge
Ensemble Learning Based on Multimodal Multiobjective Optimization. BIC-TA (1) (2019)
Jing J. Liang, Weiwei Xu, Caitong Yue, Kunjie Yu, Hui Song, Oscar D. Crisalle, Boyang Qu
Multimodal multiobjective optimization with differential evolution. Swarm Evol. Comput. 44 (2019)
Jing J. Liang, P. Wang, Caitong Yue, Kunjie Yu, Z. H. Li, Bo-Yang Qu
Multi-objective Brainstorm Optimization Algorithm for Sparse Optimization. CEC (2018)
Bo-Yang Qu, Yongsheng Zhu, Y. C. Jiao, M. Y. Wu, Ponnuthurai N. Suganthan, Jing J. Liang
A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems. Swarm Evol. Comput. 38 (2018)
Yuechao Jiao, Lei Yang, Boyang Qu, Dingming Liu, Jing J. Liang, Junming Xiao
Novel Local Particle Swarm Optimizer for Multi-modal Optimization. ICSI (1) (2016)
Xianghua Chu, Ben Niu, Jing J. Liang, Qiang Lu
An orthogonal-design hybrid particle swarm optimiser with application to capacitated facility location problem. Int. J. Bio Inspired Comput. 8 (5) (2016)
Bo-Yang Qu, Jing J. Liang, Z. Y. Wang, Qin Chen, Ponnuthurai N. Suganthan
Novel benchmark functions for continuous multimodal optimization with comparative results. Swarm Evol. Comput. 26 (2016)
Bo-Yang Qu, Jing J. Liang, Yongsheng Zhu, Z. Y. Wang, Ponnuthurai N. Suganthan
Economic emission dispatch problems with stochastic wind power using summation based multi-objective evolutionary algorithm. Inf. Sci. 351 (2016)
Bo-Yang Qu, B. F. Lang, Jing J. Liang, A. Kai Qin, Oscar D. Crisalle
Two-hidden-layer extreme learning machine for regression and classification. Neurocomputing 175 (2016)
Jing J. Liang, Caitong Yue, Bo-Yang Qu
Multimodal multi-objective optimization: A preliminary study. CEC (2016)
Li-Li Wu, Jing J. Liang, Tie-Jun Chen, Yao-Qiang Wang, Oscar D. Crisalle
DMS-PSO Based Tuning of PI Controllers for Frequency Control of a Hybrid Energy System. ICSI (2) (2015)
Bo-Yang Qu, Jing J. Liang, Z. Y. Wang, D. M. Liu
Solving CEC 2015 multi-modal competition problems using neighborhood based speciation Differential Evolution. CEC (2015)
Jing J. Liang, L. Guo, R. Liu, Bo-Yang Qu
A self-adaptive dynamic particle swarm optimizer. CEC (2015)
Zhihui Li, Zhigang Shang, Bo-Yang Qu, Jing J. Liang
Feature Selection based on manifold-learning with dynamic constraint handling differential evolution. IEEE Congress on Evolutionary Computation (2014)
Jing J. Liang, Bo-Yang Qu, Xiaobo Mao, Ben Niu, Dongyun Wang
Differential evolution based on fitness Euclidean-distance ratio for multimodal optimization. Neurocomputing 137 (2014)
Jing J. Liang, B. Zheng, F. Y. Xu, Bo-Yang Qu, Hui Song
Multi-objective differential evolution algorithm based on fast sorting and a novel constraints handling technique. IEEE Congress on Evolutionary Computation (2014)
Boyang Qu, Jing J. Liang, J. M. Xiao, Zhigang Shang
Memetic differential evolution based on fitness Euclidean-distance ratio. IEEE Congress on Evolutionary Computation (2014)
Jing J. Liang, Bo-Yang Qu
Large-scale portfolio optimization using multiobjective dynamic mutli-swarm particle swarm optimizer. SIS (2013)
Jing J. Liang, Hui Song, Bo-Yang Qu
Performance evaluation of dynamic multi-swarm particle swarm optimizer with different constraint handling methods on path planning problems. Memetic Computing (2013)
Ben Niu, Qiqi Duan, Jing J. Liang
Hybrid Bacterial Foraging Algorithm for Data Clustering. IDEAL (2013)
Chen Chen, Jing J. Liang, Bo-Yang Qu, Ben Niu
Using Dynamic Multi-Swarm Particle Swarm Optimizer to Improve the Image Sparse Decomposition Based on Matching Pursuit. ICIC (2) (2013)
Min Niu, Xiaobo Mao, Jing J. Liang, Ben Niu
Object Tracking Based on Extended SURF and Particle Filter. ICIC (2) (2013)
Tie-Jun Chen, Li-Li Wu, Jing J. Liang, Qihou H. Zhou
Research and Analysis on Ionospheric Composition Based on Particle Swarm Optimization. ICIC (2) (2013)
Jing J. Liang, Bo-Yang Qu, Ponnuthurai N. Suganthan, Ben Niu
Dynamic Multi-Swarm Particle Swarm Optimization for Multi-objective optimization problems. IEEE Congress on Evolutionary Computation (2012)
Zhihui Li, Zhigang Shang, Jing J. Liang, Ben Niu
An improved differential evolution for constrained optimization with dynamic constraint-handling mechanism. IEEE Congress on Evolutionary Computation (2012)
Jing J. Liang, Xiaobo Mao, Bo-Yang Qu, Ben Niu, Tiejun Chen
Elite Multi-Group Differential Evolution. IEEE Congress on Evolutionary Computation (2012)
Zhigang Shang, Zhihui Li, Jing J. Liang
Real Coded Feature Selection Integrated with Self-adaptive Differential Evolution Algorithm. ICIC (3) (2012)
Jing J. Liang, Bo-Yang Qu, Xiaobo Mao, Tiejun Chen
Differential Evolution Based on Fitness Euclidean-Distance Ratio for Multimodal Optimization. ICIC (3) (2012)
Jing J. Liang, Song Tao Ma, Bo-Yang Qu, Ben Niu
Strategy Adaptative Memetic Crowding differential evolution for multimodal optimization. IEEE Congress on Evolutionary Computation (2012)
Bo-Yang Qu, Jing J. Liang, Ponnuthurai Nagaratnam Suganthan, Tiejun Chen
Ensemble of Clearing Differential Evolution for Multi-modal Optimization. ICSI (1) (2012)
Bo-Yang Qu, Jing J. Liang, Ponnuthurai N. Suganthan
Niching particle swarm optimization with local search for multi-modal optimization. Inf. Sci. 197 (2012)
Zhigang Shang, Zhihui Li, Jing J. Liang, Ben Niu
Control parameters self-adaptation in differential evolution based on intrisic structure information. IEEE Congress on Evolutionary Computation (2012)
Quan-Ke Pan, Ponnuthurai N. Suganthan, Jing J. Liang, Mehmet Fatih Tasgetiren
A local-best harmony search algorithm with dynamic sub-harmony memories for lot-streaming flow shop scheduling problem. Expert Syst. Appl. 38 (4) (2011)
Jing J. Liang, Bo-Yang Qu, Song Tao Ma, Ponnuthurai Nagaratnam Suganthan
Memetic Fitness Euclidean-Distance Particle Swarm Optimization for Multi-modal Optimization. ICIC (3) (2011)
Zhihui Li, Jing J. Liang, Xi He, Zhigang Shang
Differential evolution with dynamic constraint-handling mechanism. IEEE Congress on Evolutionary Computation (2010)
Jing J. Liang, Quan-Ke Pan, Tiejun Chen
A Dynamic Multi-swarm Particle Swarm Optimizer for blocking flow shop scheduling. BIC-TA (2010)
Quan-Ke Pan, Ponnuthurai N. Suganthan, Mehmet Fatih Tasgetiren, Jing J. Liang
A self-adaptive global best harmony search algorithm for continuous optimization problems. Appl. Math. Comput. 216 (3) (2010)
Yu-Yan Han, Quan-Ke Pan, Jing J. Liang, Junqing Li
A Hybrid Discrete Harmony Search Algorithm for blocking flow shop Scheduling. BIC-TA (2010)
Wen-Juan Ren, Quan-Ke Pan, Junqing Li, Jing J. Liang
Tabu search algorithm for solving No-idle permutation Flow Shop Scheduling Problem. BIC-TA (2010)
Jing J. Liang, Zhigang Shang, Zhihui Li
Coevolutionary Comprehensive Learning Particle Swarm Optimizer. IEEE Congress on Evolutionary Computation (2010)
Wen-Juan Ren, Quan-Ke Pan, Jing J. Liang
An improved harmony search algorithm for multi-dimensional function optimization problem. BIC-TA (2010)
Shi-Zheng Zhao, Jing J. Liang, Ponnuthurai N. Suganthan, Mehmet Fatih Tasgetiren
Dynamic multi-swarm particle swarm optimizer with local search for Large Scale Global Optimization. IEEE Congress on Evolutionary Computation (2008)
Jing J. Liang, Ponnuthurai N. Suganthan
Dynamic Multi-Swarm Particle Swarm Optimizer with a Novel Constraint-Handling Mechanism. IEEE Congress on Evolutionary Computation (2006)
Jing J. Liang, S. Baskar, Ponnuthurai N. Suganthan, A. Kai Qin
Performance Evaluation of Multiagent Genetic Algorithm. Nat. Comput. 5 (1) (2006)
Vicky Ling Huang, Ponnuthurai N. Suganthan, Jing J. Liang
Comprehensive learning particle swarm optimizer for solving multiobjective optimization problems. Int. J. Intell. Syst. 21 (2) (2006)
Jing J. Liang, A. Kai Qin, Ponnuthurai N. Suganthan, S. Baskar
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions. IEEE Trans. Evol. Comput. 10 (3) (2006)
Jing J. Liang, Ponnuthurai N. Suganthan
Adaptive Comprehensive Learning Particle Swarm Optimizer with History Learning. SEAL (2006)
Jing J. Liang, Ponnuthurai N. Suganthan
Dynamic multi-swarm particle swarm optimizer with local search. Congress on Evolutionary Computation (2005)
Jing J. Liang, A. Kai Qin, Ponnuthurai N. Suganthan, S. Baskar
Particle swarm optimization algorithms with novel learning strategies. SMC (4) (2004)
A. Kai Qin, Ponnuthurai N. Suganthan, Jing J. Liang
A new generalized LVQ algorithm via harmonic to minimum distance measure transition. SMC (5) (2004)
Jing J. Liang, A. Kai Qin, Ponnuthurai N. Suganthan, S. Baskar
Evaluation of Comprehensive Learning Particle Swarm Optimizer. ICONIP (2004)