Jing Liang

140 papers B 13C 1Journal 112Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Robustness Indicator-Based Dual-Population Evolutionary Algorithm for Multimodal Multiobjective Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Caitong Yue, Wenhao Ye, Jing Liang, Mengmeng Li, Kunjie Yu, Ying Bi, Boyang Qu
2026 J jnl
A Time-Division-Based Constrained Multiobjective Optimization Method for Coal Mine Integrated Energy System Dispatch Problem.
IEEE Trans. Cybern.
Kangjia Qiao, Jing Liang, Dunwei Gong, Yong Zhang, Canyun Dai, Jun Ma, Xuanxuan Ban, Kunjie Yu
2026 J jnl
A Weight Inheritance and Guidance Strategy-Based Evolutionary Network Architecture Search.
IEEE Trans. Evol. Comput.
Li Yan, Yi Du, Jing Liang, Boyang Qu, Chao Li, Kunjie Yu
2026 J jnl
A hybrid method based on linear regression and genetic programming-based symbolic regression for short-term load forecasting.
Appl. Soft Comput.
Ying Bi, Mengying Guo, Quan Sui, Jing Liang, Kai Zhang, Ke Chen
2026 J jnl
Acceptance-Rejection Sampling-Guided Discrete RRT for Multiagent Path Finding.
IEEE Trans. Ind. Informatics
Jianbin Xin, Yuze Duan, Hai Zhu, Jing Liang
2026 J jnl
Adaptive decomposition-based transfer learning for dynamic constrained multi-objective optimization.
Expert Syst. Appl.
Li Yan, Yinjin Wu, Boyang Qu, Chao Li, Jing Liang, Kunjie Yu, Caitong Yue, Baihao Qiao, Yuqi Lei
2026 J jnl
An improved generalized evolutionary algorithm for constrained multimodal multiobjective optimization.
Complex Intell. Syst.
Caitong Yue, Wenhao Wu, Jing Liang, Ying Bi, Kunjie Yu, Ke Chen, Weifeng Guo
2026 J jnl
Dynamic Constrained Multiobjective Evolutionary Algorithm With Multipopulation Prediction and Dynamic Fusion Ranking.
IEEE Trans. Evol. Comput.
Dezheng Zhang, Kai Zhang, Kunjie Yu, Jing Liang, Kangjia Qiao, Boyang Qu, Ke Chen, Caitong Yue
2026 J jnl
Hierarchical Genetic Algorithm for the Multi-Solution Traveling Salesman Problem.
IEEE Trans. Evol. Comput.
Caitong Yue, Yuxi Shen, Jing Liang, Kunjie Yu, Mengmeng Li, Tianlei Ma, Hui Song
2026 J jnl
Large-Scale Constrained Multiobjective Optimization Based on Variable Adaptive Optimization and Population Reconstruction.
IEEE Trans. Emerg. Top. Comput. Intell.
Kunjie Yu, Zhenyu Yang, Jing Liang, Kangjia Qiao, Boyang Qu, Qiao Peng, Ponnuthurai Nagaratnam Suganthan
2026 J jnl
Modal Detection Informed Classification Evaluation via Ensemble Networks for Expensive Constrained Multimodal Optimization.
IEEE Trans. Neural Networks Learn. Syst.
Kunjie Yu, Fan Chen, Mingyuan Yu, Jing Liang, Ke Chen
2026 J jnl
Multiobjective Task Allocation for Electric Harvesting Robots: A Hierarchical Route Reconstruction Approach.
IEEE Trans. Cybern.
Peng Chen, Jing Liang, Hui Song, Kangjia Qiao, Cai-Tong Yue, Kun-Jie Yu, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz
2026 J jnl
Multiobjective harvester scheduling with splittable workloads: A diversity-guided iterated local search approach.
Expert Syst. Appl.
Hongyu Lin, Jing Liang, Caitong Yue, Yaonan Wang
2026 J jnl
Small aerial object detection through FPN-DETR integrated with a novel alignment proposal network.
Appl. Soft Comput.
Usman Ahmad, Tianlei Ma, Jing Liang, Ponnuthurai Nagaratnam Suganthan, Kunjie Yu, Faisal Mehmood, Farhad Banoori
2025 J jnl
A Decoupled Few-Shot Defect Detection Approach via Vector Quantization Feature Aggregation.
IEEE Trans. Instrum. Meas.
Xin Guo, Pengcheng Zhang, Peixiao Zheng, Zhong Zhang, Jing Liang
2025 J jnl
A Joint-Encoding Evolutionary Algorithm for Multimodal Multiobjective Feature Selection in Classification.
IEEE Trans. Evol. Comput.
Jing Liang, Junting Yang, Caitong Yue, Ying Bi, Kunjie Yu, Boyang Qu, Yu-Yang Zhang, Mengmeng Li
2025 J jnl
A Local Knowledge Transfer-Based Evolutionary Algorithm for Constrained Multitask Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Xuanxuan Ban, Jing Liang, Kunjie Yu, Yaonan Wang, Kangjia Qiao, Jinzhu Peng, Dunwei Gong, Canyun Dai
2025 B conf
A Skin Cancer Classification Method Based on Genetic Programming with New Region Detection Operators.
PRICAI
Kunjie Yu, Mengyu Wang, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang
2025 J jnl
A Survey on Evolutionary Computation for Identifying Biomarkers of Complex Disease.
IEEE Trans. Evol. Comput.
Jing Liang, Zhuo Hu, Ying Bi, Han Cheng, Kunjie Yu, Cai-Tong Yue, Xianfang Wang, Weifeng Guo
2025 B conf
A Two-Stage Approach Combining Feature Selection and Construction for Hyperspectral Crop Classification.
CEC
Jing Liang, Zexuan Yang, Ying Bi
2025 J jnl
A Two-Stage Genetic Programming Approach to Feature Construction and Ensemble Evolving for Road Extraction From Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens.
Ying Bi, Yaxin Chang, Jing Liang, Caitong Yue, Boyang Qu, Mengnan Liu
2025 J jnl
A cooperation and competition-based tri-population evolutionary algorithm for constrained multi-objective optimization.
Appl. Soft Comput.
Kunjie Yu, Lianhe Duan, Jing Liang, Kangjia Qiao, Boyang Qu, Quan Sui, Xiangyang Ren
2025 J jnl
A multimodal multiobjective evolutionary algorithm based on neighborhood and enhanced special crowding distance.
Knowl. Based Syst.
Caitong Yue, Jiankang Song, Jing Liang, Mengnan Liu, Kunjie Yu, Hongyu Lin, Ying Bi
2025 J jnl
A new multi-tree Genetic Programming approach to feature construction in high-dimensional classification.
Knowl. Based Syst.
Ke Chen, Mingyang Dao, Ying Bi, Jing Liang, Zhenlong Wu, Peng Wang
2025 J jnl
A segment anchoring-based balancing algorithm for agricultural multi-robot task allocation with energy constraints.
CoRR
Peng Chen, Jing Liang, Kangjia Qiao, Hui Song, Tian-lei Ma, Kunjie Yu, Cai-Tong Yue, Ponnuthurai Nagaratnam Suganthan, Witold Pedryc
2025 J jnl
A subspace strategy based coevolutionary framework for constrained multimodal multiobjective optimization problems.
Swarm Evol. Comput.
Li Yan, Shunge Guo, Jing Liang, Boyang Qu, Chao Li, Kunjie Yu
2025 J jnl
A survey of surrogate-assisted evolutionary algorithms for expensive optimization.
J. Membr. Comput.
Jing Liang, Yahang Lou, Mingyuan Yu, Ying Bi, Kunjie Yu
2025 J jnl
A temporal-segmentation-and-fusion-based large-scale constrained multi-objective evolutionary algorithm for coal mine integrated energy systems dispatch.
Swarm Evol. Comput.
Xuanxuan Ban, Jing Liang, Dunwei Gong, Yong Zhang, Yaonan Wang, Canyun Dai, Kangjia Qiao, Kunjie Yu
2025 J jnl
An adaptive experience-based discrete genetic algorithm for multi-trip picking robot task scheduling in smart orchards.
CoRR
Peng Chen, Jing Liang, Kang-Jia Qiao, Hui Song, Cai-Tong Yue, Kun-Jie Yu, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz
2025 J jnl
An individual adaptive evolution and regional collaboration based evolutionary algorithm for large-scale constrained multiobjective optimization problems.
Swarm Evol. Comput.
Kunjie Yu, Zhenyu Yang, Jing Liang, Kangjia Qiao, Boyang Qu, Ponnuthurai Nagaratnam Suganthan
2025 B conf
Automatic Feature Learning via Genetic Programming with Flexible Filtering for Skin Cancer Image Classification.
CEC
Kunjie Yu, Jintao Lian, Ying Bi, Jing Liang
2025 J jnl
Change detection in remote sensing images based on multi-tree genetic programming.
Appl. Soft Comput.
Ying Bi, Tuo Zhang, Jintao Lian, Yaxin Chang, Jing Liang
2025 J jnl
Conflict-Free Routing of Twin Reclaimers in the Stockyard Based on a Time-Space Network Model.
IEEE Trans Autom. Sci. Eng.
Jianbin Xin, Chang Liu, Andrea D'Ariano, Shi Qiang Liu, Jing Liang
2025 J jnl
Disentangled Graph Contrastive Learning for Socially-Aware Next-Item Recommendation.
IEEE Trans. Big Data
Bin Wu, Xun Su, Long Chen, Jing Liang, Yangdong Ye
2025 J jnl
Dual-population collaborative prediction with reinforcement learning adjusting for dynamic multi-objective optimization.
Swarm Evol. Comput.
Li Yan, Yinjin Wu, Yaxin Li, Boyang Qu, Jing Liang, Kunjie Yu, Dezheng Zhang
2025 B conf
Dynamic Threshold Selection in Genetic Programming for Imbalanced Fault Diagnosis.
CEC
Ke Chen, Tianqing Wu, Ying Bi, Jing Liang, Kunjie Yu
2025 J jnl
Evolutionary Neural Architecture Search for Remote Sensing Image Classification.
IEEE Trans. Neural Networks Learn. Syst.
Jing Liang, Genyue Liu, Ying Bi, Mingyuan Yu, Mengnan Liu, Yaochu Jin
2025 J jnl
Grouped Vector Autoregression Reservoir Computing Based on Randomly Distributed Embedding for Multistep-Ahead Prediction.
IEEE Trans. Neural Networks Learn. Syst.
Heshan Wang, Zhepeng Wang, Mingyuan Yu, Jing Liang, Jinzhu Peng, Yaonan Wang
2025 J jnl
History-Assisted Two-State Auxiliary Task Collaboration Approach for Dynamic Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Dezheng Zhang, Kunjie Yu, Jing Liang, Kangjia Qiao, Boyang Qu, Ke Chen, Caitong Yue, Ling Wang
2025 J jnl
Multi-objective genetic programming based on decomposition for feature learning in image classification.
Swarm Evol. Comput.
Tuo Zhang, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang
2025 B conf
Multimodal Multiobjective Optimization in the Charging Station Site Selection.
CEC
Caitong Yue, Lihong Cheng, Jing Liang, Kunjie Yu, Mengmeng Li
2025 J jnl
Multimodal multiobjective optimization with structural network control principles to optimize personalized drug targets for drug discovery of individual patients.
Briefings Bioinform.
Jing Liang, Zhuo Hu, Ying Bi, Han Cheng, Weifeng Guo
2025 J jnl
Self-Prior Guided Spatial and Fourier Transformer for Nighttime Flare Removal.
IEEE Trans Autom. Sci. Eng.
Tianlei Ma, Zhiqiang Kai, Xikui Miao, Jing Liang, Jinzhu Peng, Yaonan Wang, Hao Wang, Xinhao Liu
2025 J jnl
Small aerial object detection through GAN-integrated feature pyramid networks.
Appl. Soft Comput.
Usman Ahmad, Jing Liang, Tianlei Ma, Kunjie Yu, Faisal Mehmood, Farhad Banoori
2025 J jnl
Underwater Image Enhancement via Wavelet Decomposition Fusion of Advantage Contrast.
IEEE Trans. Circuits Syst. Video Technol.
Weidong Zhang, Qingmin Liu, Huimin Lu, Jianping Wang, Jing Liang
2024 J jnl
A Framework Based on Historical Evolution Learning for Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Kunjie Yu, Dezheng Zhang, Jing Liang, Boyang Qu, Mengnan Liu, Ke Chen, Caitong Yue, Ling Wang
2024 — conf
A Joint Prediction Strategy Based on Multiple Feature Points for Dynamic Multi-objective Optimization.
ICSI (1)
Yaxin Li, Li Yan, Kunjie Yu, Jing Liang, Boyang Qu
2024 J jnl
A Multiform Optimization Framework for Multiobjective Feature Selection in Classification.
IEEE Trans. Evol. Comput.
Jing Liang, Yuyang Zhang, Boyang Qu, Ke Chen, Kunjie Yu, Caitong Yue
2024 J jnl
A Space Transformation-Based Multiform Approach for Multiobjective Feature Selection in High-Dimensional Classification.
IEEE Trans. Syst. Man Cybern. Syst.
Kunjie Yu, Shaoru Sun, Jing Liang, Ke Chen, Boyang Qu, Caitong Yue, Ponnuthurai Nagaratnam Suganthan
2024 B conf
A Two-Stage Approach Using Genetic Algorithm and Genetic Programming for Remote Sensing Crop Classification.
CEC
Jing Liang, Zexuan Yang, Tuo Zhang, Ying Bi
2024 J jnl
A Two-stage Evolutionary Framework For Multi-objective Optimization.
CoRR
Peng Chen, Jing Liang, Kangjia Qiao, Ponnuthurai Nagaratnam Suganthan, Xuanxuan Ban
2024 J jnl
An archive-assisted multi-modal multi-objective evolutionary algorithm.
Swarm Evol. Comput.
Peng Chen, Zhimeng Li, Kangjia Qiao, Ponnuthurai N. Suganthan, Xuanxuan Ban, Kunjie Yu, Caitong Yue, Jing Liang
2024 J jnl
An evolutionary multiobjective method based on dominance and decomposition for feature selection in classification.
Sci. China Inf. Sci.
Jing Liang, Yuyang Zhang, Ke Chen, Boyang Qu, Kunjie Yu, Caitong Yue, Ponnuthurai Nagaratnam Suganthan
2024 J jnl
Benchmark problems for large-scale constrained multi-objective optimization with baseline results.
Swarm Evol. Comput.
Kangjia Qiao, Jing Liang, Kunjie Yu, Weifeng Guo, Caitong Yue, Boyang Qu, Ponnuthurai N. Suganthan
2024 J jnl
Collaborative resource allocation-based differential evolution for solving numerical optimization problems.
Inf. Sci.
Yaxin Li, Jing Liang, Caitong Yue, Kunjie Yu, Xuanxuan Ban, Peng Chen
2024 J jnl
Complemented subspace-based weighted collaborative representation model for imbalanced learning.
Appl. Soft Comput.
Yanting Li, Junwei Jin, Hongwei Tao, Yang Xiao, Jing Liang, C. L. Philip Chen
2024 J jnl
Constraint subsets-based evolutionary multitasking for constrained multiobjective optimization.
Swarm Evol. Comput.
Kunjie Yu, Lingjun Wang, Jing Liang, Heshan Wang, Kangjia Qiao, Tianye Liang
2024 — conf
Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification.
GECCO Companion
Tuo Zhang, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang
2024 B conf
Dimensionality Reduction for Classification Using Divide-and-Conquer Based Genetic Programming.
CEC
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang
2024 J jnl
Discriminative elastic-net broad learning systems for visual classification.
Appl. Soft Comput.
Yanting Li, Junwei Jin, Yun Geng, Yang Xiao, Jing Liang, C. L. Philip Chen
2024 J jnl
Evolutionary Constrained Multiobjective Optimization: Scalable High-Dimensional Constraint Benchmarks and Algorithm.
IEEE Trans. Evol. Comput.
Kangjia Qiao, Jing Liang, Kunjie Yu, Caitong Yue, Hongyu Lin, Dezheng Zhang, Boyang Qu
2024 J jnl
Flexible Label-Induced Manifold Broad Learning System for Multiclass Recognition.
IEEE Trans. Neural Networks Learn. Syst.
Junwei Jin, Biao Geng, Yanting Li, Jing Liang, Yang Xiao, C. L. Philip Chen
2024 J jnl
Imbalanced complemented subspace representation with adaptive weight learning.
Expert Syst. Appl.
Yanting Li, Shuai Wang, Junwei Jin, Fubao Zhu, Liang Zhao, Jing Liang, C. L. Philip Chen
2024 J jnl
Knowledge-embedded constrained multiobjective evolutionary algorithm based on structural network control principles for personalized drug targets recognition in cancer.
Inf. Sci.
Kangjia Qiao, Jing Liang, Weifeng Guo, Zhuo Hu, Kunjie Yu, Ponnuthurai N. Suganthan
2024 J jnl
MSGNet: A Multi-Feature Lightweight Learning Network for Automatic Modulation Recognition.
IEEE Commun. Lett.
Zhengyu Zhu, Ning Zhou, Zixuan Wang, Jing Liang, Zhongyong Wang
2024 B conf
Multimodal Multi-Objective Flexible Job Shop Scheduling: A Preliminary Study.
CEC
Caitong Yue, Liming Liu, Jing Liang, Gongping Li, Bi Ying, Mingyuan Yu
2024 J jnl
Multimodal multiobjective differential evolution algorithm based on enhanced decision space search.
Swarm Evol. Comput.
Jing Liang, Xudong Sui, Caitong Yue, Mingyuan Yu, Guang Li, Mengmeng Li
2024 J jnl
Multiobjective Differential Evolution for Higher-Dimensional Multimodal Multiobjective Optimization.
IEEE CAA J. Autom. Sinica
Jing Liang, Hongyu Lin, Caitong Yue, Ponnuthurai Nagaratnam Suganthan, Yaonan Wang
2024 J jnl
Surrogate-assisted PSO with archive-based neighborhood search for medium-dimensional expensive multi-objective problems.
Inf. Sci.
Mingyuan Yu, Zhou Wu, Jing Liang, Caitong Yue
2023 J jnl
A Correlation-Guided Layered Prediction Approach for Evolutionary Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Kunjie Yu, Dezheng Zhang, Jing Liang, Ke Chen, Caitong Yue, Kangjia Qiao, Ling Wang
2023 J jnl
A Knowledge Guided Transfer Strategy for Evolutionary Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Yinan Guo, Guoyu Chen, Min Jiang, Dunwei Gong, Jing Liang
2023 J jnl
A Self-Adaptive Evolutionary Multi-Task Based Constrained Multi-Objective Evolutionary Algorithm.
IEEE Trans. Emerg. Top. Comput. Intell.
Kangjia Qiao, Jing Liang, Kunjie Yu, Minghui Wang, Boyang Qu, Caitong Yue, Yinan Guo
2023 J jnl
A bidirectional dynamic grouping multi-objective evolutionary algorithm for feature selection on high-dimensional classification.
Inf. Sci.
Kunjie Yu, Shaoru Sun, Jing Liang, Ke Chen, Boyang Qu, Caitong Yue, Ling Wang
2023 J jnl
A dual-population constrained multi-objective evolutionary algorithm with variable auxiliary population size.
Complex Intell. Syst.
Jing Liang, Zhaolin Chen, Yaonan Wang, Xuanxuan Ban, Kangjia Qiao, Kunjie Yu
2023 J jnl
ASMEvoNAS: Adaptive segmented multi-objective evolutionary network architecture search.
Appl. Soft Comput.
Li Yan, Zhipeng Zhang, Jing Liang, Boyang Qu, Kunjie Yu, Kongyuan Wang
2023 J jnl
An incremental random walk algorithm for sampling continuous fitness landscapes.
Neurocomputing
Yaxin Li, Jing Liang, Caitong Yue, Kunjie Yu, Hao Guo
2023 J jnl
Corrigendum to "Constrained multiobjective differential evolution algorithm with infeasible-proportion control mechanism" [Knowl.-Based Syst. (2022) 109105].
Knowl. Based Syst.
Jing Liang, Xuanxuan Ban, Kunjie Yu, Kangjia Qiao, Boyang Qu
2023 J jnl
DAFA-BiLSTM: Deep Autoregression Feature Augmented Bidirectional LSTM network for time series prediction.
Neural Networks
Heshan Wang, Yiping Zhang, Jing Liang, Lili Liu
2023 J jnl
Differential Evolution With Duplication Analysis for Feature Selection in Classification.
IEEE Trans. Cybern.
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang
2023 J jnl
Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Kangjia Qiao, Kunjie Yu, Boyang Qu, Jing Liang, Hui Song, Caitong Yue, Hongyu Lin, Kay Chen Tan
2023 J jnl
Evolutionary Multitasking with Global and Local Auxiliary Tasks for Constrained Multi-Objective Optimization.
IEEE CAA J. Autom. Sinica
Kangjia Qiao, Jing Liang, Zhongyao Liu, Kunjie Yu, Caitong Yue, Boyang Qu
2023 J jnl
Feature Extraction for Recommendation of Constrained Multiobjective Evolutionary Algorithms.
IEEE Trans. Evol. Comput.
Kangjia Qiao, Kunjie Yu, Boyang Qu, Jing Liang, Caitong Yue, Xuanxuan Ban
2023 J jnl
Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution.
Inf. Sci.
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang
2023 J jnl
Fuzzy-based variable impedance control of uncertain robot manipulator in the flexible environment: A nonlinear force contact model-based approach.
J. Intell. Fuzzy Syst.
Ying Guo, Jinzhu Peng, Shuai Ding, Jing Liang, Yaonan Wang
2023 J jnl
Imbalanced least squares regression with adaptive weight learning.
Inf. Sci.
Yanting Li, Junwei Jin, Jiangtao Ma, Fubao Zhu, Baohua Jin, Jing Liang, C. L. Philip Chen
2023 J jnl
Interindividual Correlation and Dimension-Based Dual Learning for Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Li Yan, Wenlong Qi, Jing Liang, Boyang Qu, Kunjie Yu, Caitong Yue, Xuzhao Chai
2023 J jnl
Keenness for characterizing continuous optimization problems and predicting differential evolution algorithm performance.
Complex Intell. Syst.
Yaxin Li, Jing Liang, Kunjie Yu, Caitong Yue, Yingjie Zhang
2023 J jnl
Latent space search based multimodal optimization with personalized edge-network biomarker for multi-purpose early disease prediction.
Briefings Bioinform.
Jing Liang, Zong-Wei Li, Ze-Ning Sun, Ying Bi, Han Cheng, Tao Zeng, Weifeng Guo
2023 J jnl
Manifold clustering-based prediction for dynamic multiobjective optimization.
Swarm Evol. Comput.
Li Yan, Wenlong Qi, A. K. Qin, Shengxiang Yang, Dunwei Gong, Boyang Qu, Jing Liang
2023 J jnl
Multi-objective optimization based network control principles for identifying personalized drug targets with cancer.
CoRR
Jing Liang, Zhuo Hu, Zong-Wei Li, Kangjia Qiao, Weifeng Guo
2023 J jnl
Multiobjective Differential Evolution With Speciation for Constrained Multimodal Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Jing Liang, Hongyu Lin, Caitong Yue, Kunjie Yu, Ying Guo, Kangjia Qiao
2023 J jnl
Multiobjective Differential Evolution for Feature Selection in Classification.
IEEE Trans. Cybern.
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang
2023 J jnl
Parameter optimization of energy-efficient antenna system using period-based memetic algorithm.
Expert Syst. Appl.
Zhou Wu, Mingyuan Yu, Jing Liang
2022 B conf
A Multimodal Multiobjective Genetic Algorithm for Feature Selection.
CEC
Jing Liang, Junting Yang, Caitong Yue, Gongping Li, Kunjie Yu, Boyang Qu
2022 J jnl
A grid-guided particle swarm optimizer for multimodal multi-objective problems.
Appl. Soft Comput.
Boyang Qu, Guosen Li, Li Yan, Jing Liang, Caitong Yue, Kunjie Yu, Oscar D. Crisalle
2022 J jnl
A two-archive model based evolutionary algorithm for multimodal multi-objective optimization problems.
Appl. Soft Comput.
Yi Hu, Jie Wang, Jing Liang, Yanli Wang, Usman Ashraf, Caitong Yue, Kunjie Yu
2022 J jnl
A twofold infill criterion-driven heterogeneous ensemble surrogate-assisted evolutionary algorithm for computationally expensive problems.
Knowl. Based Syst.
Mingyuan Yu, Jing Liang, Zhou Wu, Zhile Yang
2022 J jnl
An Evolutionary Multitasking Optimization Framework for Constrained Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput.
Kangjia Qiao, Kunjie Yu, Boyang Qu, Jing Liang, Hui Song, Caitong Yue
2022 J jnl
An aRBF surrogate-assisted neighborhood field optimizer for expensive problems.
Swarm Evol. Comput.
Mingyuan Yu, Jing Liang, Kai Zhao, Zhou Wu
2022 — conf
Application of an Improved Multimodal Multiobjective Algorithm in Feature Selection.
ICARM
Jing Liang, Yingjie Zhang, Caitong Yue, Kunjie Yu, Weifeng Guo, Ke Chen, Hongyu Lin, Boyang Qu
2022 J jnl
Constrained multiobjective differential evolution algorithm with infeasible-proportion control mechanism.
Knowl. Based Syst.
Jing Liang, Xuanxuan Ban, Kunjie Yu, Kangjia Qiao, Boyang Qu
2022 J jnl
Differential Evolution with Level-Based Learning Mechanism.
Complex Syst. Model. Simul.
Kangjia Qiao, Jing Liang, Boyang Qu, Kunjie Yu, Caitong Yue, Hui Song
2022 J jnl
Dynamic Selection Preference-Assisted Constrained Multiobjective Differential Evolution.
IEEE Trans. Syst. Man Cybern. Syst.
Kunjie Yu, Jing Liang, Boyang Qu, Yong Luo, Caitong Yue
2022 J jnl
Locating multiple roots of nonlinear equation systems via multi-strategy optimization algorithm with sequence quadratic program.
Sci. China Inf. Sci.
Jing Liang, Boyang Qu, Baolei Li, Kunjie Yu, Caitong Yue
2022 J jnl
Regularized discriminative broad learning system for image classification.
Knowl. Based Syst.
Junwei Jin, Zhenhao Qin, Dengxiu Yu, Yanting Li, Jing Liang, C. L. Philip Chen
2022 J jnl
Self-adaptive resources allocation-based differential evolution for constrained evolutionary optimization.
Knowl. Based Syst.
Kangjia Qiao, Jing Liang, Kunjie Yu, Minghua Yuan, Boyang Qu, Caitong Yue
2021 J jnl
A clustering-based differential evolution algorithm for solving multimodal multi-objective optimization problems.
Swarm Evol. Comput.
Jing Liang, Kangjia Qiao, Caitong Yue, Kunjie Yu, Boyang Qu, Ruohao Xu, Zhimeng Li, Yi Hu
2021 J jnl
An improved brain storm optimisation algorithm for energy-efficient train operation problem.
Int. J. Bio Inspired Comput.
Boyang Qu, Qian Zhou, Yongsheng Zhu, Jing Liang, Caitong Yue, Yuechao Jiao, Li Yan, Ponnuthurai Nagaratnam Suganthan
2021 J jnl
Differential evolution with rankings-based fitness function for constrained optimization problems.
Appl. Soft Comput.
Jing Liang, Xuanxuan Ban, Kunjie Yu, Boyang Qu, Kangjia Qiao
2021 J jnl
Ensemble learning based on fitness Euclidean-distance ratio differential evolution for classification.
Nat. Comput.
Jing Liang, Yunpeng Wei, Boyang Qu, Caitong Yue, Hui Song
2021 B conf
Evolutionary Ensemble Learning Using Multimodal Multi-objective Optimization Algorithm Based on Grid for Wind Speed Forecasting.
CEC
Yi Hu, Jing Liang, Boyang Qu, Jie Wang, Yanli Wang, Panpan Wei
2021 B conf
Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification.
EvoApplications
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang
2021 J jnl
Niche-based cooperative co-evolutionary ensemble neural network for classification.
Appl. Soft Comput.
Jing Liang, Guanlin Chen, Boyang Qu, Caitong Yue, Kunjie Yu, Kangjia Qiao
2021 J jnl
Performance assessment of sample-specific network control methods for bulk and single-cell biological data analysis.
PLoS Comput. Biol.
Weifeng Guo, Xiangtian Yu, Qianqian Shi, Jing Liang, Shao-Wu Zhang, Tao Zeng
2021 J jnl
Purpose-directed two-phase multiobjective differential evolution for constrained multiobjective optimization.
Swarm Evol. Comput.
Kunjie Yu, Jing Liang, Boyang Qu, Caitong Yue
2021 J jnl
Research on the Fastest Detection Method for Weak Trends under Noise Interference.
Entropy
Guang Li, Jing Liang, Caitong Yue
2021 J jnl
Research on the ensemble feature selection algorithm based on multimodal optimisation techniques.
Int. J. Bio Inspired Comput.
Yanli Wang, Bo-Yang Qu, Jing Liang, Yi Hu, Yunpeng Wei
2020 J jnl
A novel multiobjective optimization algorithm for sparse signal reconstruction.
Signal Process.
Caitong Yue, Jing Liang, Boyang Qu, Yuhong Han, Yongsheng Zhu, Oscar D. Crisalle
2020 J jnl
A self-organized speciation based multi-objective particle swarm optimizer for multimodal multi-objective problems.
Appl. Soft Comput.
Boyang Qu, Chao Li, Jing Liang, Li Yan, Kunjie Yu, Yongsheng Zhu
2020 — ed.
Bio-inspired Computing: Theories and Applications - 14th International Conference, BIC-TA 2019, Zhengzhou, China, November 22-25, 2019, Revised Selected Papers, Part I
BIC-TA (1)
Linqiang Pan, Jing Liang, Boyang Qu
2020 — ed.
Bio-inspired Computing: Theories and Applications - 14th International Conference, BIC-TA 2019, Zhengzhou, China, November 22-25, 2019, Revised Selected Papers, Part II
BIC-TA (2)
Linqiang Pan, Jing Liang, Boyang Qu
2020 J jnl
Cooperative co-evolutionary comprehensive learning particle swarm optimizer for formulation design of explosive simulant.
Memetic Comput.
Jing Liang, Guanlin Chen, Boyang Qu, Kunjie Yu, Caitong Yue, Kangjia Qiao, Hua Qian
2019 — conf
A Knee Point Based NSGA-II Multi-objective Evolutionary Algorithm.
BIC-TA (1)
Jing Liang, Zhimeng Li, Boyang Qu, Kunjie Yu, Kangjia Qiao, Shilei Ge
2019 J jnl
A cluster based PSO with leader updating mechanism and ring-topology for multimodal multi-objective optimization.
Swarm Evol. Comput.
Weizheng Zhang, Guoqing Li, Weiwei Zhang, Jing Liang, Gary G. Yen
2019 — conf
Chromosome Medial Axis Extraction Method Based on Graphic Geometry and Competitive Extreme Learning Machines Teams (CELMT) Classifier for Chromosome Classification.
BIC-TA (2)
Jie Wang, Chaohao Zhao, Jing Liang, Caitong Yue, Xiangyang Ren, Ke Bai
2019 B conf
Dynamic Multimodal Optimization: A Preliminary Study.
CEC
Shi Cheng, Hui Lu, Yi-Nan Guo, Xiujuan Lei, Jing Liang, Junfeng Chen, Yuhui Shi
2019 J jnl
Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem.
Expert Syst. Appl.
Quan-Ke Pan, Liang Gao, Ling Wang, Jing Liang, Xinyu Li
2019 — conf
Ensemble Learning via Multimodal Multiobjective Differential Evolution and Feature Selection.
BIC-TA (1)
Jie Wang, Bo Wang, Jing Liang, Kunjie Yu, Caitong Yue, Xiangyang Ren
2019 — conf
Meta-heuristic Hybrid Algorithmic Approach for Solving Combinatorial Optimization Problem (TSP).
BIC-TA (1)
Usman Ashraf, Jing Liang, Aleena Akhtar, Kunjie Yu, Yi Hu, Caitong Yue, Abdul Mannan Masood, Muhammad Kashif
2019 J jnl
Multi-objective flow shop scheduling with limited buffers using hybrid self-adaptive differential evolution.
Memetic Comput.
Jing Liang, Peng Wang, Li Guo, Boyang Qu, Caitong Yue, Kunjie Yu, Yachao Wang
2018 — conf
A Self-organizing Multi-objective Particle Swarm Optimization Algorithm for Multimodal Multi-objective Problems.
ICSI (1)
Jing Liang, Qianqian Guo, Caitong Yue, Boyang Qu, Kunjie Yu
2018 J jnl
Application of Sliding Nest Window Control Chart in Data Stream Anomaly Detection.
Symmetry
Guang Li, Jie Wang, Jing Liang, Caitong Yue
2018 B conf
Performance Analysis on Knee Point Selection Methods for Multi-Objective Sparse Optimization Problems.
CEC
Jing Liang, X. P. Zhu, Caitong Yue, Zhihui Li, Bo-Yang Qu
2018 J jnl
The Application of a Double CUSUM Algorithm in Industrial Data Stream Anomaly Detection.
Symmetry
Guang Li, Jie Wang, Jing Liang, Caitong Yue
2017 — conf
A Knee Point Driven Particle Swarm Optimization Algorithm for Sparse Reconstruction.
SEAL
Caitong Yue, Jing Liang, Boyang Qu, Hui Song, Guang Li, Yuhong Han
2017 — conf
Multivariant Optimization Algorithm with Bimodal-Gauss.
SEAL
Baolei Li, Jing Liang, Caitong Yue, Boyang Qu
2017 — conf
Optimization of UWB Antenna Based on Particle Swarm Optimization Algorithm.
ISICA (2)
Mingyuan Yu, Jing Liang, Boyang Qu, Caitong Yue
2012 J jnl
A Hybrid Harmony Search Algorithm for the no-Wait Flow-shop Scheduling Problems.
Asia Pac. J. Oper. Res.
Kaizhou Gao, Quan-Ke Pan, Junqing Li, Yu-Ting Wang, Jing Liang
2010 — conf
A Hybrid Pareto-Based Tabu Search for Multi-objective Flexible Job Shop Scheduling Problem with E/T Penalty.
ICSI (1)
Junqing Li, Quan-Ke Pan, Shengxian Xie, Jing Liang
2009 C conf
Improved 2D Maximum Entropy Threshold Segmentation Method based on PSO.
IJCCI
Liping Zheng, Guangyao Li, Jing Liang, Quan-Ke Pan