Jing Liang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 64

Top Topics

Multiobjective Optimization

Differential Evolution

Top Venues

IEEE Trans. Evol. Comput.

Swarm Evol. Comput.

Appl. Soft Comput.

Publications

Caitong Yue, Liming Liu, Jing Liang, Gongping Li, Bi Ying, Mingyuan Yu
Multimodal Multi-Objective Flexible Job Shop Scheduling: A Preliminary Study. CEC (2024)
Jing Liang, Xudong Sui, Caitong Yue, Mingyuan Yu, Guang Li, Mengmeng Li
Multimodal multiobjective differential evolution algorithm based on enhanced decision space search. Swarm Evol. Comput. 90 (2024)
Jing Liang, Hongyu Lin, Caitong Yue, Ponnuthurai Nagaratnam Suganthan, Yaonan Wang
Multiobjective Differential Evolution for Higher-Dimensional Multimodal Multiobjective Optimization. IEEE CAA J. Autom. Sinica 11 (6) (2024)
Kangjia Qiao, Jing Liang, Weifeng Guo, Zhuo Hu, Kunjie Yu, Ponnuthurai N. Suganthan
Knowledge-embedded constrained multiobjective evolutionary algorithm based on structural network control principles for personalized drug targets recognition in cancer. Inf. Sci. 679 (2024)
Jing Liang, Yuyang Zhang, Boyang Qu, Ke Chen, Kunjie Yu, Caitong Yue
A Multiform Optimization Framework for Multiobjective Feature Selection in Classification. IEEE Trans. Evol. Comput. 28 (4) (2024)
Kunjie Yu, Dezheng Zhang, Jing Liang, Boyang Qu, Mengnan Liu, Ke Chen, Caitong Yue, Ling Wang
A Framework Based on Historical Evolution Learning for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 28 (4) (2024)
Peng Chen, Jing Liang, Kangjia Qiao, Ponnuthurai Nagaratnam Suganthan, Xuanxuan Ban
A Two-stage Evolutionary Framework For Multi-objective Optimization. CoRR (2024)
Kunjie Yu, Lingjun Wang, Jing Liang, Heshan Wang, Kangjia Qiao, Tianye Liang
Constraint subsets-based evolutionary multitasking for constrained multiobjective optimization. Swarm Evol. Comput. 86 (2024)
Kangjia Qiao, Jing Liang, Kunjie Yu, Weifeng Guo, Caitong Yue, Boyang Qu, Ponnuthurai N. Suganthan
Benchmark problems for large-scale constrained multi-objective optimization with baseline results. Swarm Evol. Comput. 86 (2024)
Yaxin Li, Jing Liang, Caitong Yue, Kunjie Yu, Xuanxuan Ban, Peng Chen
Collaborative resource allocation-based differential evolution for solving numerical optimization problems. Inf. Sci. 660 (2024)
Mingyuan Yu, Zhou Wu, Jing Liang, Caitong Yue
Surrogate-assisted PSO with archive-based neighborhood search for medium-dimensional expensive multi-objective problems. Inf. Sci. 666 (2024)
Yaxin Li, Li Yan, Kunjie Yu, Jing Liang, Boyang Qu
A Joint Prediction Strategy Based on Multiple Feature Points for Dynamic Multi-objective Optimization. ICSI (1) (2024)
Jing Liang, Yuyang Zhang, Ke Chen, Boyang Qu, Kunjie Yu, Caitong Yue, Ponnuthurai Nagaratnam Suganthan
An evolutionary multiobjective method based on dominance and decomposition for feature selection in classification. Sci. China Inf. Sci. 67 (2) (2024)
Kangjia Qiao, Jing Liang, Kunjie Yu, Caitong Yue, Hongyu Lin, Dezheng Zhang, Boyang Qu
Evolutionary Constrained Multiobjective Optimization: Scalable High-Dimensional Constraint Benchmarks and Algorithm. IEEE Trans. Evol. Comput. 28 (4) (2024)
Kangjia Qiao, Jing Liang, Kunjie Yu, Minghui Wang, Boyang Qu, Caitong Yue, Yinan Guo
A Self-Adaptive Evolutionary Multi-Task Based Constrained Multi-Objective Evolutionary Algorithm. IEEE Trans. Emerg. Top. Comput. Intell. 7 (4) (2023)
Li Yan, Zhipeng Zhang, Jing Liang, Boyang Qu, Kunjie Yu, Kongyuan Wang
ASMEvoNAS: Adaptive segmented multi-objective evolutionary network architecture search. Appl. Soft Comput. 146 (2023)
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang
Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution. Inf. Sci. 626 (2023)
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang
Multiobjective Differential Evolution for Feature Selection in Classification. IEEE Trans. Cybern. 53 (7) (2023)
Jing Liang, Hongyu Lin, Caitong Yue, Kunjie Yu, Ying Guo, Kangjia Qiao
Multiobjective Differential Evolution With Speciation for Constrained Multimodal Multiobjective Optimization. IEEE Trans. Evol. Comput. 27 (4) (2023)
Yinan Guo, Guoyu Chen, Min Jiang, Dunwei Gong, Jing Liang
A Knowledge Guided Transfer Strategy for Evolutionary Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 27 (6) (2023)
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang
Differential Evolution With Duplication Analysis for Feature Selection in Classification. IEEE Trans. Cybern. 53 (10) (2023)
Yaxin Li, Jing Liang, Caitong Yue, Kunjie Yu, Hao Guo
An incremental random walk algorithm for sampling continuous fitness landscapes. Neurocomputing 553 (2023)
Kunjie Yu, Dezheng Zhang, Jing Liang, Ke Chen, Caitong Yue, Kangjia Qiao, Ling Wang
A Correlation-Guided Layered Prediction Approach for Evolutionary Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 27 (5) (2023)
Kangjia Qiao, Kunjie Yu, Boyang Qu, Jing Liang, Caitong Yue, Xuanxuan Ban
Feature Extraction for Recommendation of Constrained Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 27 (4) (2023)
Li Yan, Wenlong Qi, Jing Liang, Boyang Qu, Kunjie Yu, Caitong Yue, Xuzhao Chai
Interindividual Correlation and Dimension-Based Dual Learning for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 27 (6) (2023)
Kangjia Qiao, Jing Liang, Zhongyao Liu, Kunjie Yu, Caitong Yue, Boyang Qu
Evolutionary Multitasking with Global and Local Auxiliary Tasks for Constrained Multi-Objective Optimization. IEEE CAA J. Autom. Sinica 10 (10) (2023)
Kangjia Qiao, Kunjie Yu, Boyang Qu, Jing Liang, Hui Song, Caitong Yue, Hongyu Lin, Kay Chen Tan
Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. 27 (3) (2023)
Kunjie Yu, Shaoru Sun, Jing Liang, Ke Chen, Boyang Qu, Caitong Yue, Ling Wang
A bidirectional dynamic grouping multi-objective evolutionary algorithm for feature selection on high-dimensional classification. Inf. Sci. 648 (2023)
Jing Liang, Xuanxuan Ban, Kunjie Yu, Kangjia Qiao, Boyang Qu
Corrigendum to "Constrained multiobjective differential evolution algorithm with infeasible-proportion control mechanism" [Knowl.-Based Syst. (2022) 109105]. Knowl. Based Syst. 259 (2023)
Jing Liang, Xuanxuan Ban, Kunjie Yu, Kangjia Qiao, Boyang Qu
Constrained multiobjective differential evolution algorithm with infeasible-proportion control mechanism. Knowl. Based Syst. 250 (2022)
Jing Liang, Yingjie Zhang, Caitong Yue, Kunjie Yu, Weifeng Guo, Ke Chen, Hongyu Lin, Boyang Qu
Application of an Improved Multimodal Multiobjective Algorithm in Feature Selection. ICARM (2022)
Yi Hu, Jie Wang, Jing Liang, Yanli Wang, Usman Ashraf, Caitong Yue, Kunjie Yu
A two-archive model based evolutionary algorithm for multimodal multi-objective optimization problems. Appl. Soft Comput. 119 (2022)
Jing Liang, Junting Yang, Caitong Yue, Gongping Li, Kunjie Yu, Boyang Qu
A Multimodal Multiobjective Genetic Algorithm for Feature Selection. CEC (2022)
Kangjia Qiao, Kunjie Yu, Boyang Qu, Jing Liang, Hui Song, Caitong Yue
An Evolutionary Multitasking Optimization Framework for Constrained Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 26 (2) (2022)
Jing Liang, Boyang Qu, Baolei Li, Kunjie Yu, Caitong Yue
Locating multiple roots of nonlinear equation systems via multi-strategy optimization algorithm with sequence quadratic program. Sci. China Inf. Sci. 65 (7) (2022)
Kunjie Yu, Jing Liang, Boyang Qu, Yong Luo, Caitong Yue
Dynamic Selection Preference-Assisted Constrained Multiobjective Differential Evolution. IEEE Trans. Syst. Man Cybern. Syst. 52 (5) (2022)
Boyang Qu, Guosen Li, Li Yan, Jing Liang, Caitong Yue, Kunjie Yu, Oscar D. Crisalle
A grid-guided particle swarm optimizer for multimodal multi-objective problems. Appl. Soft Comput. 117 (2022)
Kangjia Qiao, Jing Liang, Boyang Qu, Kunjie Yu, Caitong Yue, Hui Song
Differential Evolution with Level-Based Learning Mechanism. Complex Syst. Model. Simul. 2 (1) (2022)
Kangjia Qiao, Jing Liang, Kunjie Yu, Minghua Yuan, Boyang Qu, Caitong Yue
Self-adaptive resources allocation-based differential evolution for constrained evolutionary optimization. Knowl. Based Syst. 235 (2022)
Jing Liang, Guanlin Chen, Boyang Qu, Caitong Yue, Kunjie Yu, Kangjia Qiao
Niche-based cooperative co-evolutionary ensemble neural network for classification. Appl. Soft Comput. 113 (Part) (2021)
Jing Liang, Xuanxuan Ban, Kunjie Yu, Boyang Qu, Kangjia Qiao
Differential evolution with rankings-based fitness function for constrained optimization problems. Appl. Soft Comput. 113 (Part) (2021)
Boyang Qu, Qian Zhou, Yongsheng Zhu, Jing Liang, Caitong Yue, Yuechao Jiao, Li Yan, Ponnuthurai Nagaratnam Suganthan
An improved brain storm optimisation algorithm for energy-efficient train operation problem. Int. J. Bio Inspired Comput. 17 (4) (2021)
Yan-li Wang, Bo-Yang Qu, Jing Liang, Yi Hu, Yunpeng Wei
Research on the ensemble feature selection algorithm based on multimodal optimisation techniques. Int. J. Bio Inspired Comput. 18 (1) (2021)
Yi Hu, Jing Liang, Boyang Qu, Jie Wang, Yanli Wang, Panpan Wei
Evolutionary Ensemble Learning Using Multimodal Multi-objective Optimization Algorithm Based on Grid for Wind Speed Forecasting. CEC (2021)
Jing Liang, Yunpeng Wei, Boyang Qu, Caitong Yue, Hui Song
Ensemble learning based on fitness Euclidean-distance ratio differential evolution for classification. Nat. Comput. 20 (1) (2021)
Jing Liang, Kangjia Qiao, Caitong Yue, Kunjie Yu, Boyang Qu, Ruohao Xu, Zhimeng Li, Yi Hu
A clustering-based differential evolution algorithm for solving multimodal multi-objective optimization problems. Swarm Evol. Comput. 60 (2021)
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang
Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification. EvoApplications (2021)
Kunjie Yu, Jing Liang, Boyang Qu, Caitong Yue
Purpose-directed two-phase multiobjective differential evolution for constrained multiobjective optimization. Swarm Evol. Comput. 60 (2021)
Guang Li, Jing Liang, Caitong Yue
Research on the Fastest Detection Method for Weak Trends under Noise Interference. Entropy 23 (8) (2021)
Jing Liang, Guanlin Chen, Boyang Qu, Kunjie Yu, Caitong Yue, Kangjia Qiao, Hua Qian
Cooperative co-evolutionary comprehensive learning particle swarm optimizer for formulation design of explosive simulant. Memetic Comput. 12 (4) (2020)
Boyang Qu, Chao Li, Jing Liang, Li Yan, Kunjie Yu, Yongsheng Zhu
A self-organized speciation based multi-objective particle swarm optimizer for multimodal multi-objective problems. Appl. Soft Comput. 86 (2020)
Caitong Yue, Jing Liang, Boyang Qu, Yuhong Han, Yongsheng Zhu, Oscar D. Crisalle
A novel multiobjective optimization algorithm for sparse signal reconstruction. Signal Process. 167 (2020)
Jie Wang, Bo Wang, Jing Liang, Kunjie Yu, Caitong Yue, Xiangyang Ren
Ensemble Learning via Multimodal Multiobjective Differential Evolution and Feature Selection. BIC-TA (1) (2019)
Jing Liang, Peng Wang, Li Guo, Boyang Qu, Caitong Yue, Kunjie Yu, Yachao Wang
Multi-objective flow shop scheduling with limited buffers using hybrid self-adaptive differential evolution. Memetic Comput. 11 (4) (2019)
Jie Wang, Chaohao Zhao, Jing Liang, Caitong Yue, Xiangyang Ren, Ke Bai
Chromosome Medial Axis Extraction Method Based on Graphic Geometry and Competitive Extreme Learning Machines Teams (CELMT) Classifier for Chromosome Classification. BIC-TA (2) (2019)
Weizheng Zhang, Guoqing Li, Weiwei Zhang, Jing Liang, Gary G. Yen
A cluster based PSO with leader updating mechanism and ring-topology for multimodal multi-objective optimization. Swarm Evol. Comput. 50 (2019)
Jing Liang, Zhimeng Li, Boyang Qu, Kunjie Yu, Kangjia Qiao, Shilei Ge
A Knee Point Based NSGA-II Multi-objective Evolutionary Algorithm. BIC-TA (1) (2019)
Usman Ashraf, Jing Liang, Aleena Akhtar, Kunjie Yu, Yi Hu, Caitong Yue, Abdul Mannan Masood, Muhammad Kashif
Meta-heuristic Hybrid Algorithmic Approach for Solving Combinatorial Optimization Problem (TSP). BIC-TA (1) (2019)
Guang Li, Jie Wang, Jing Liang, Caitong Yue
The Application of a Double CUSUM Algorithm in Industrial Data Stream Anomaly Detection. Symmetry 10 (7) (2018)
Jing Liang, X. P. Zhu, Caitong Yue, Zhihui Li, Bo-Yang Qu
Performance Analysis on Knee Point Selection Methods for Multi-Objective Sparse Optimization Problems. CEC (2018)
Jing Liang, Qianqian Guo, Caitong Yue, Boyang Qu, Kunjie Yu
A Self-organizing Multi-objective Particle Swarm Optimization Algorithm for Multimodal Multi-objective Problems. ICSI (1) (2018)
Guang Li, Jie Wang, Jing Liang, Caitong Yue
Application of Sliding Nest Window Control Chart in Data Stream Anomaly Detection. Symmetry 10 (4) (2018)
Baolei Li, Jing Liang, Caitong Yue, Boyang Qu
Multivariant Optimization Algorithm with Bimodal-Gauss. SEAL (2017)
Caitong Yue, Jing Liang, Boyang Qu, Hui Song, Guang Li, Yuhong Han
A Knee Point Driven Particle Swarm Optimization Algorithm for Sparse Reconstruction. SEAL (2017)