Evaluation of Comprehensive Learning Particle Swarm Optimizer. - Jing J. Liang; A. Kai Qin; Ponnuthurai N. Suganthan; S. Baskar 001 (ICONIP, 2004)

Particle swarm optimization algorithms with novel learning strategies. - Jing J. Liang; A. Kai Qin; Ponnuthurai N. Suganthan; S. Baskar 001 (SMC (4), 2004)

A new generalized LVQ algorithm via harmonic to minimum distance measure transition. - A. Kai Qin; Ponnuthurai N. Suganthan; Jing J. Liang (SMC (5), 2004)

Dynamic multi-swarm particle swarm optimizer with local search. - Jing J. Liang; Ponnuthurai N. Suganthan (Congress on Evolutionary Computation, 2005)

Dynamic multi-swarm particle swarm optimizer. - Jane-Jing Liang; Ponnuthurai Nagaratnam Suganthan (SIS, 2005)

Novel composition test functions for numerical global optimization. - Jane-Jing Liang; Ponnuthurai Nagaratnam Suganthan; Kalyanmoy Deb (SIS, 2005)

Dynamic Multi-Swarm Particle Swarm Optimizer with a Novel Constraint-Handling Mechanism. - Jing J. Liang; Ponnuthurai N. Suganthan (IEEE Congress on Evolutionary Computation, 2006)

Adaptive Comprehensive Learning Particle Swarm Optimizer with History Learning. - Jing J. Liang; Ponnuthurai N. Suganthan (SEAL, 2006)

Comprehensive learning particle swarm optimizer for solving multiobjective optimization problems. - Vicky Ling Huang; Ponnuthurai N. Suganthan; Jing J. Liang (Int. J. Intell. Syst., 2006)

Performance Evaluation of Multiagent Genetic Algorithm. - Jing J. Liang; S. Baskar 001; Ponnuthurai N. Suganthan; A. Kai Qin (Nat. Comput., 2006)

Comprehensive learning particle swarm optimizer for global optimization of multimodal functions. - Jing J. Liang; A. Kai Qin; Ponnuthurai N. Suganthan; S. Baskar 001 (IEEE Trans. Evol. Comput., 2006)

Dynamic multi-swarm particle swarm optimizer with local search for Large Scale Global Optimization. - Shi-Zheng Zhao; Jing J. Liang; Ponnuthurai N. Suganthan; Mehmet Fatih Tasgetiren (IEEE Congress on Evolutionary Computation, 2008)

Improved 2D Maximum Entropy Threshold Segmentation Method based on PSO. - Liping Zheng; Guangyao Li; Jing Liang 005; Quan-Ke Pan (IJCCI, 2009)

A Hybrid Discrete Harmony Search Algorithm for blocking flow shop Scheduling. - Yu-Yan Han; Quan-Ke Pan; Jing J. Liang; Junqing Li 001 (BIC-TA, 2010)

A Dynamic Multi-swarm Particle Swarm Optimizer for blocking flow shop scheduling. - Jing J. Liang; Quan-Ke Pan; Tiejun Chen (BIC-TA, 2010)

An improved harmony search algorithm for multi-dimensional function optimization problem. - Wen-Juan Ren; Quan-Ke Pan; Jing J. Liang (BIC-TA, 2010)

Tabu search algorithm for solving No-idle permutation Flow Shop Scheduling Problem. - Wen-Juan Ren; Quan-Ke Pan; Junqing Li 001; Jing J. Liang (BIC-TA, 2010)

Differential evolution with dynamic constraint-handling mechanism. - Zhihui Li; Jing J. Liang; Xi He; Zhigang Shang (IEEE Congress on Evolutionary Computation, 2010)

Coevolutionary Comprehensive Learning Particle Swarm Optimizer. - Jing J. Liang; Zhigang Shang; Zhihui Li (IEEE Congress on Evolutionary Computation, 2010)

A Hybrid Pareto-Based Tabu Search for Multi-objective Flexible Job Shop Scheduling Problem with E/T Penalty. - Junqing Li 001; Quan-Ke Pan; Shengxian Xie; Jing Liang 005 (ICSI (1), 2010)

A self-adaptive global best harmony search algorithm for continuous optimization problems. - Quan-Ke Pan; Ponnuthurai N. Suganthan; Mehmet Fatih Tasgetiren; Jing J. Liang (Appl. Math. Comput., 2010)

Memetic Fitness Euclidean-Distance Particle Swarm Optimization for Multi-modal Optimization. - Jing J. Liang; Bo-Yang Qu; Song Tao Ma; Ponnuthurai Nagaratnam Suganthan (ICIC (3), 2011)

A local-best harmony search algorithm with dynamic sub-harmony memories for lot-streaming flow shop scheduling problem. - Quan-Ke Pan; Ponnuthurai N. Suganthan; Jing J. Liang; Mehmet Fatih Tasgetiren (Expert Syst. Appl., 2011)

An improved differential evolution for constrained optimization with dynamic constraint-handling mechanism. - Zhihui Li; Zhigang Shang; Jing J. Liang; Ben Niu 002 (IEEE Congress on Evolutionary Computation, 2012)

Strategy Adaptative Memetic Crowding differential evolution for multimodal optimization. - Jing J. Liang; Song Tao Ma; Bo-Yang Qu; Ben Niu 002 (IEEE Congress on Evolutionary Computation, 2012)

Elite Multi-Group Differential Evolution. - Jing J. Liang; Xiaobo Mao; Bo-Yang Qu; Ben Niu 002; Tiejun Chen (IEEE Congress on Evolutionary Computation, 2012)

Dynamic Multi-Swarm Particle Swarm Optimization for Multi-objective optimization problems. - Jing J. Liang; Bo-Yang Qu; Ponnuthurai N. Suganthan; Ben Niu 002 (IEEE Congress on Evolutionary Computation, 2012)

Control parameters self-adaptation in differential evolution based on intrisic structure information. - Zhigang Shang; Zhihui Li; Jing J. Liang; Ben Niu 002 (IEEE Congress on Evolutionary Computation, 2012)

Differential Evolution Based on Fitness Euclidean-Distance Ratio for Multimodal Optimization. - Jing J. Liang; Bo-Yang Qu; Xiaobo Mao; Tiejun Chen (ICIC (3), 2012)

Path Planning Based on Dynamic Multi-Swarm Particle Swarm Optimizer with Crossover. - Jane-Jing Liang; Hui Song; Bo-Yang Qu; Xiaobo Mao (ICIC (2), 2012)

Multiobjective Dynamic Multi-Swarm Particle Swarm Optimization for Environmental/Economic Dispatch Problem. - Jane-Jing Liang; Wei-Xing Zhang; Bo-Yang Qu; Tiejun Chen (ICIC (1), 2012)

Real Coded Feature Selection Integrated with Self-adaptive Differential Evolution Algorithm. - Zhigang Shang; Zhihui Li; Jing J. Liang (ICIC (3), 2012)

Ensemble of Clearing Differential Evolution for Multi-modal Optimization. - Bo-Yang Qu; Jing J. Liang; Ponnuthurai Nagaratnam Suganthan; Tiejun Chen (ICSI (1), 2012)

A Hybrid Harmony Search Algorithm for the no-Wait Flow-shop Scheduling Problems. - Kaizhou Gao; Quan-Ke Pan; Junqing Li 001; Yu-Ting Wang 003; Jing Liang 005 (Asia Pac. J. Oper. Res., 2012)

Niching particle swarm optimization with local search for multi-modal optimization. - Bo-Yang Qu; Jing J. Liang; Ponnuthurai N. Suganthan (Inf. Sci., 2012)

Differential Evolution With Neighborhood Mutation for Multimodal Optimization. - Bo-Yang Qu; Ponnuthurai Nagaratnam Suganthan; Jane-Jing Liang (IEEE Trans. Evol. Comput., 2012)

Using Dynamic Multi-Swarm Particle Swarm Optimizer to Improve the Image Sparse Decomposition Based on Matching Pursuit. - Chen Chen 032; Jing J. Liang; Bo-Yang Qu; Ben Niu 002 (ICIC (2), 2013)

Research and Analysis on Ionospheric Composition Based on Particle Swarm Optimization. - Tie-Jun Chen; Li-Li Wu; Jing J. Liang; Qihou H. Zhou (ICIC (2), 2013)

Object Tracking Based on Extended SURF and Particle Filter. - Min Niu; Xiaobo Mao; Jing J. Liang; Ben Niu 002 (ICIC (2), 2013)

Hybrid Bacterial Foraging Algorithm for Data Clustering. - Ben Niu 002; Qiqi Duan; Jing J. Liang (IDEAL, 2013)

Performance evaluation of dynamic multi-swarm particle swarm optimizer with different constraint handling methods on path planning problems. - Jing J. Liang; Hui Song; Bo-Yang Qu (Memetic Computing, 2013)

Multi-swarm Particle Swarm Optimization with a Center Learning Strategy. - Ben Niu 002; Huali Huang; Lijing Tan; Jane-Jing Liang (ICSI (1), 2013)

Large-scale portfolio optimization using multiobjective dynamic mutli-swarm particle swarm optimizer. - Jing J. Liang; Bo-Yang Qu (SIS, 2013)

Feature Selection based on manifold-learning with dynamic constraint handling differential evolution. - Zhihui Li; Zhigang Shang; Bo-Yang Qu; Jing J. Liang (IEEE Congress on Evolutionary Computation, 2014)

Differential Evolution strategy based on the constraint of fitness values classification. - Zhihui Li; Zhigang Shang; Boyang Qu; Jane-Jing Liang (IEEE Congress on Evolutionary Computation, 2014)

Multi-objective differential evolution algorithm based on fast sorting and a novel constraints handling technique. - Jing J. Liang; B. Zheng; F. Y. Xu; Bo-Yang Qu; Hui Song (IEEE Congress on Evolutionary Computation, 2014)

Memetic differential evolution based on fitness Euclidean-distance ratio. - Boyang Qu; Jing J. Liang; J. M. Xiao; Zhigang Shang (IEEE Congress on Evolutionary Computation, 2014)

Neural Network Based on Self-adaptive Differential Evolution for Ultra-Short-Term Power Load Forecasting. - Wei Liu; Hui Song; Jane-Jing Liang; Bo-Yang Qu; Alex Kai Qin (ICIC (3), 2014)

Neural Network Based on Dynamic Multi-swarm Particle Swarm Optimizer for Ultra-Short-Term Load Forecasting. - Jane-Jing Liang; Hui Song; Bo-Yang Qu; Wei Liu; Alex Kai Qin (ICSI (2), 2014)

Fully Learned Multi-swarm Particle Swarm Optimization. - Ben Niu 002; Huali Huang; Bin Ye; Lijing Tan; Jane-Jing Liang (ICSI (1), 2014)

Differential evolution based on fitness Euclidean-distance ratio for multimodal optimization. - Jing J. Liang; Bo-Yang Qu; Xiaobo Mao; Ben Niu 002; Dongyun Wang (Neurocomputing, 2014)

A self-adaptive dynamic particle swarm optimizer. - Jing J. Liang; L. Guo; R. Liu; Bo-Yang Qu (CEC, 2015)

Solving CEC 2015 multi-modal competition problems using neighborhood based speciation Differential Evolution. - Bo-Yang Qu; Jing J. Liang; Z. Y. Wang; D. M. Liu (CEC, 2015)

DMS-PSO Based Tuning of PI Controllers for Frequency Control of a Hybrid Energy System. - Li-Li Wu; Jing J. Liang; Tie-Jun Chen; Yao-Qiang Wang; Oscar D. Crisalle (ICSI (2), 2015)

Multimodal multi-objective optimization: A preliminary study. - Jing J. Liang; Caitong Yue; Bo-Yang Qu (CEC, 2016)

Novel Local Particle Swarm Optimizer for Multi-modal Optimization. - Yuechao Jiao; Lei Yang 050; Boyang Qu; Dingming Liu; Jing J. Liang; Junming Xiao (ICSI (1), 2016)

An orthogonal-design hybrid particle swarm optimiser with application to capacitated facility location problem. - Xianghua Chu; Ben Niu 002; Jing J. Liang; Qiang Lu (Int. J. Bio Inspired Comput., 2016)

Two-hidden-layer extreme learning machine for regression and classification. - Bo-Yang Qu; B. F. Lang; Jing J. Liang; A. Kai Qin; Oscar D. Crisalle (Neurocomputing, 2016)

Economic emission dispatch problems with stochastic wind power using summation based multi-objective evolutionary algorithm. - Bo-Yang Qu; Jing J. Liang; Yongsheng Zhu; Z. Y. Wang; Ponnuthurai N. Suganthan (Inf. Sci., 2016)

Novel benchmark functions for continuous multimodal optimization with comparative results. - Bo-Yang Qu; Jing J. Liang; Z. Y. Wang; Qin Chen 003; Ponnuthurai N. Suganthan (Swarm Evol. Comput., 2016)

Optimization of UWB Antenna Based on Particle Swarm Optimization Algorithm. - Mingyuan Yu; Jing Liang 005; Boyang Qu; Caitong Yue (ISICA (2), 2017)

Multivariant Optimization Algorithm with Bimodal-Gauss. - Baolei Li; Jing Liang 005; Caitong Yue; Boyang Qu (SEAL, 2017)

A Knee Point Driven Particle Swarm Optimization Algorithm for Sparse Reconstruction. - Caitong Yue; Jing Liang 005; Boyang Qu; Hui Song; Guang Li 012; Yuhong Han (SEAL, 2017)

Multi-objective Brainstorm Optimization Algorithm for Sparse Optimization. - Jing J. Liang; P. Wang; Caitong Yue; Kunjie Yu; Z. H. Li; Bo-Yang Qu (CEC, 2018)

Performance Analysis on Knee Point Selection Methods for Multi-Objective Sparse Optimization Problems. - Jing Liang 005; X. P. Zhu; Caitong Yue; Zhihui Li; Bo-Yang Qu (CEC, 2018)

A Self-organizing Multi-objective Particle Swarm Optimization Algorithm for Multimodal Multi-objective Problems. - Jing Liang 005; Qianqian Guo; Caitong Yue; Boyang Qu; Kunjie Yu (ICSI (1), 2018)

A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems. - Bo-Yang Qu; Yongsheng Zhu; Y. C. Jiao; M. Y. Wu; Ponnuthurai N. Suganthan; Jing J. Liang (Swarm Evol. Comput., 2018)

The Application of a Double CUSUM Algorithm in Industrial Data Stream Anomaly Detection. - Guang Li 012; Jie Wang 026; Jing Liang 005; Caitong Yue (Symmetry, 2018)

Application of Sliding Nest Window Control Chart in Data Stream Anomaly Detection. - Guang Li 012; Jie Wang 026; Jing Liang 005; Caitong Yue (Symmetry, 2018)

A Multiobjective Particle Swarm Optimizer Using Ring Topology for Solving Multimodal Multiobjective Problems. - Caitong Yue; Boyang Qu; Jane-Jing Liang (IEEE Trans. Evol. Comput., 2018)

Meta-heuristic Hybrid Algorithmic Approach for Solving Combinatorial Optimization Problem (TSP). - Usman Ashraf; Jing Liang 005; Aleena Akhtar; Kunjie Yu; Yi Hu; Caitong Yue; Abdul Mannan Masood; Muhammad Kashif (BIC-TA (1), 2019)

Mutation Strategy Selection Based on Fitness Landscape Analysis: A Preliminary Study. - Jing J. Liang; Yaxin Li; Boyang Qu; Kunjie Yu; Yi Hu (BIC-TA (1), 2019)

A Knee Point Based NSGA-II Multi-objective Evolutionary Algorithm. - Jing Liang 005; Zhimeng Li; Boyang Qu; Kunjie Yu; Kangjia Qiao; Shilei Ge (BIC-TA (1), 2019)

Ensemble Learning Based on Multimodal Multiobjective Optimization. - Jing J. Liang; Panpan Wei; Boyang Qu; Kunjie Yu; Caitong Yue; Yi Hu; Shilei Ge (BIC-TA (1), 2019)

Ensemble Learning via Multimodal Multiobjective Differential Evolution and Feature Selection. - Jie Wang 026; Bo Wang; Jing Liang 005; Kunjie Yu; Caitong Yue; Xiangyang Ren (BIC-TA (1), 2019)

Chromosome Medial Axis Extraction Method Based on Graphic Geometry and Competitive Extreme Learning Machines Teams (CELMT) Classifier for Chromosome Classification. - Jie Wang 026; Chaohao Zhao; Jing Liang 005; Caitong Yue; Xiangyang Ren; Ke Bai 003 (BIC-TA (2), 2019)

Dynamic Multimodal Optimization: A Preliminary Study. - Shi Cheng; Hui Lu 002; Yi-Nan Guo 001; Xiujuan Lei; Jing Liang 005; Junfeng Chen; Yuhui Shi 001 (CEC, 2019)

PSO-based CNN for Keyword Selection on Google Ads. - Jing J. Liang; Haotian Yang; Wenting Sun; Jiajia J. Gao (CEC, 2019)

Multitasking Multi-Swarm Optimization. - Hui Song; A. Kai Qin; Pei-Wei Tsai; Jing J. Liang (CEC, 2019)

A Modified Particle Swarm Optimization for Parameters Identification of Photovoltaic Models. - Kunjie Yu; Shilei Ge; Bo-Yang Qu; Jing J. Liang (CEC, 2019)

Multimodal Multiobjective Optimization in Feature Selection. - Caitong Yue; Jing J. Liang; Bo-Yang Qu; Kunjie Yu; Hui Song (CEC, 2019)

MOPSO-Based CNN for Keyword Selection on Google Ads. - Jing J. Liang; Haotian Yang; Jiajia Gao; Caitong Yue; Shilei Ge; Boyang Qu (IEEE Access, 2019)

Two-Stage Decomposition Method Based on Cooperation Coevolution for Feature Selection on High-Dimensional Classification. - Yanli Wang; Boyang Qu; Jane-Jing Liang; Yunpeng Wei; Caitong Yue; Yi Hu; Hui Song (IEEE Access, 2019)

A self-organizing multimodal multi-objective pigeon-inspired optimization algorithm. - Yi Hu; Jie Wang 026; Jing J. Liang; Kunjie Yu; Hui Song; Qianqian Guo; Caitong Yue; Yanli Wang (Sci. China Inf. Sci., 2019)

Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem. - Quan-Ke Pan; Liang Gao 001; Ling Wang 001; Jing Liang 005; Xinyu Li 001 (Expert Syst. Appl., 2019)

Multi-objective flow shop scheduling with limited buffers using hybrid self-adaptive differential evolution. - Jing Liang 005; Peng Wang 102; Li Guo; Boyang Qu; Caitong Yue; Kunjie Yu; Yachao Wang (Memetic Comput., 2019)

Solving dynamic economic emission dispatch problem considering wind power by multi-objective differential evolution with ensemble of selection method. - Boyang Qu; Jing J. Liang; Yongsheng Zhu; Ponnuthurai N. Suganthan (Nat. Comput., 2019)

Multimodal multiobjective optimization with differential evolution. - Jing J. Liang; Weiwei Xu; Caitong Yue; Kunjie Yu; Hui Song; Oscar D. Crisalle; Boyang Qu (Swarm Evol. Comput., 2019)

A novel scalable test problem suite for multimodal multiobjective optimization. - Caitong Yue; Boyang Qu; Kunjie Yu; Jing J. Liang; Xiaodong Li 001 (Swarm Evol. Comput., 2019)

A cluster based PSO with leader updating mechanism and ring-topology for multimodal multi-objective optimization. - Weizheng Zhang 001; Guoqing Li; Weiwei Zhang 003; Jing Liang 005; Gary G. Yen (Swarm Evol. Comput., 2019)

MMOGA for Solving Multimodal Multiobjective Optimization Problems with Local Pareto Sets. - Caitong Yue; Jing J. Liang; Ponnuthurai N. Suganthan; Bo-Yang Qu; Kunjie Yu; S. Liu (CEC, 2020)

A self-organized speciation based multi-objective particle swarm optimizer for multimodal multi-objective problems. - Boyang Qu; Chao Li 076; Jing Liang 005; Li Yan 006; Kunjie Yu; Yongsheng Zhu (Appl. Soft Comput., 2020)

Cooperative co-evolutionary comprehensive learning particle swarm optimizer for formulation design of explosive simulant. - Jing Liang 005; Guanlin Chen; Boyang Qu; Kunjie Yu; Caitong Yue; Kangjia Qiao; Hua Qian (Memetic Comput., 2020)

A novel multiobjective optimization algorithm for sparse signal reconstruction. - Caitong Yue; Jing Liang 005; Boyang Qu; Yuhong Han; Yongsheng Zhu; Oscar D. Crisalle (Signal Process., 2020)

Evolutionary Ensemble Learning Using Multimodal Multi-objective Optimization Algorithm Based on Grid for Wind Speed Forecasting. - Yi Hu; Jing Liang 005; Boyang Qu; Jie Wang 026; Yanli Wang; Panpan Wei (CEC, 2021)

A Grid-dominance based Multi-objective Algorithm for Feature Selection in Classification. - Peng Wang 102; Bing Xue 001; Mengjie Zhang 001; Jing J. Liang (CEC, 2021)

Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification. - Peng Wang 102; Bing Xue 001; Jing Liang 005; Mengjie Zhang 001 (EvoApplications, 2021)

Differential evolution with rankings-based fitness function for constrained optimization problems. - Jing Liang 005; Xuanxuan Ban; Kunjie Yu; Boyang Qu; Kangjia Qiao (Appl. Soft Comput., 2021)

Niche-based cooperative co-evolutionary ensemble neural network for classification. - Jing Liang 005; Guanlin Chen; Boyang Qu; Caitong Yue; Kunjie Yu; Kangjia Qiao (Appl. Soft Comput., 2021)

Research on the Fastest Detection Method for Weak Trends under Noise Interference. - Guang Li 012; Jing Liang 005; Caitong Yue (Entropy, 2021)

An improved brain storm optimisation algorithm for energy-efficient train operation problem. - Boyang Qu; Qian Zhou; Yongsheng Zhu; Jing Liang 005; Caitong Yue; Yuechao Jiao; Li Yan 006; Ponnuthurai Nagaratnam Suganthan (Int. J. Bio Inspired Comput., 2021)

Research on the ensemble feature selection algorithm based on multimodal optimisation techniques. - Yan-li Wang; Bo-Yang Qu; Jing Liang 005; Yi Hu; Yunpeng Wei (Int. J. Bio Inspired Comput., 2021)

Ensemble learning based on fitness Euclidean-distance ratio differential evolution for classification. - Jing Liang 005; Yunpeng Wei; Boyang Qu; Caitong Yue; Hui Song (Nat. Comput., 2021)

Performance assessment of sample-specific network control methods for bulk and single-cell biological data analysis. - Weifeng Guo; Xiangtian Yu; Qianqian Shi; Jing Liang 005; Shao-Wu Zhang 001; Tao Zeng 003 (PLoS Comput. Biol., 2021)

A clustering-based differential evolution algorithm for solving multimodal multi-objective optimization problems. - Jing Liang 005; Kangjia Qiao; Caitong Yue; Kunjie Yu; Boyang Qu; Ruohao Xu; Zhimeng Li; Yi Hu (Swarm Evol. Comput., 2021)

Purpose-directed two-phase multiobjective differential evolution for constrained multiobjective optimization. - Kunjie Yu; Jing Liang 005; Boyang Qu; Caitong Yue (Swarm Evol. Comput., 2021)

Differential evolution using improved crowding distance for multimodal multiobjective optimization. - Caitong Yue; Ponnuthurai N. Suganthan; Jing J. Liang; Boyang Qu; Kunjie Yu; Yongsheng Zhu; Li Yan 006 (Swarm Evol. Comput., 2021)

Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers. - Peng Wang 102; Bing Xue 001; Jing J. Liang; Mengjie Zhang 001 (AI, 2022)

A Multimodal Multiobjective Genetic Algorithm for Feature Selection. - Jing Liang 005; Junting Yang; Caitong Yue; Gongping Li; Kunjie Yu; Boyang Qu (CEC, 2022)

Application of an Improved Multimodal Multiobjective Algorithm in Feature Selection. - Jing Liang 005; Yingjie Zhang; Caitong Yue; Kunjie Yu; Weifeng Guo; Ke Chen; Hongyu Lin; Boyang Qu (ICARM, 2022)

A two-archive model based evolutionary algorithm for multimodal multi-objective optimization problems. - Yi Hu; Jie Wang 026; Jing Liang 005; Yanli Wang; Usman Ashraf; Caitong Yue; Kunjie Yu (Appl. Soft Comput., 2022)

Adaptive local landscape feature vector for problem classification and algorithm selection. - Yaxin Li; Jing J. Liang; Kunjie Yu; Ke Chen; Yinan Guo 001; Caitong Yue; Leiyu Zhang (Appl. Soft Comput., 2022)

A landscape-aware particle swarm optimization for parameter identification of photovoltaic models. - Yaxin Li; Kunjie Yu; Jing J. Liang; Caitong Yue; Kangjia Qiao (Appl. Soft Comput., 2022)

A grid-guided particle swarm optimizer for multimodal multi-objective problems. - Boyang Qu; Guosen Li; Li Yan 006; Jing Liang 005; Caitong Yue; Kunjie Yu; Oscar D. Crisalle (Appl. Soft Comput., 2022)

Multi-modal optimization to identify personalized biomarkers for disease prediction of individual patients with cancer. - Jing J. Liang; Zong-Wei Li; Cai-Tong Yue; Zhuo Hu; Han Cheng; Zexian Liu; Weifeng Guo (Briefings Bioinform., 2022)

Locating multiple roots of nonlinear equation systems via multi-strategy optimization algorithm with sequence quadratic program. - Jing Liang 005; Boyang Qu; Baolei Li; Kunjie Yu; Caitong Yue (Sci. China Inf. Sci., 2022)

Differential Evolution with Level-Based Learning Mechanism. - Kangjia Qiao; Jing Liang 005; Boyang Qu; Kunjie Yu; Caitong Yue; Hui Song (Complex Syst. Model. Simul., 2022)

Parameter optimisation of sliding window algorithm based on ensemble multi-objective evolutionary computation. - Guang Li 012; Jie Wang 026; Jing J. Liang; Caitong Yue; Tai-Shan Lou (Int. J. Bio Inspired Comput., 2022)

Regularized discriminative broad learning system for image classification. - Junwei Jin 001; Zhenhao Qin; Dengxiu Yu; Yanting Li; Jing Liang 005; C. L. Philip Chen (Knowl. Based Syst., 2022)

Constrained multiobjective differential evolution algorithm with infeasible-proportion control mechanism. - Jing Liang 005; Xuanxuan Ban; Kunjie Yu; Kangjia Qiao; Boyang Qu (Knowl. Based Syst., 2022)

Self-adaptive resources allocation-based differential evolution for constrained evolutionary optimization. - Kangjia Qiao; Jing Liang 005; Kunjie Yu; Minghua Yuan; Boyang Qu; Caitong Yue (Knowl. Based Syst., 2022)

A twofold infill criterion-driven heterogeneous ensemble surrogate-assisted evolutionary algorithm for computationally expensive problems. - Mingyuan Yu; Jing Liang 005; Zhou Wu 001; Zhile Yang (Knowl. Based Syst., 2022)

An aRBF surrogate-assisted neighborhood field optimizer for expensive problems. - Mingyuan Yu; Jing Liang 005; Kai Zhao 004; Zhou Wu 001 (Swarm Evol. Comput., 2022)

An Evolutionary Multitasking Optimization Framework for Constrained Multiobjective Optimization Problems. - Kangjia Qiao; Kunjie Yu; Boyang Qu; Jing Liang 005; Hui Song; Caitong Yue (IEEE Trans. Evol. Comput., 2022)

Dynamic Selection Preference-Assisted Constrained Multiobjective Differential Evolution. - Kunjie Yu; Jing Liang 005; Boyang Qu; Yong Luo; Caitong Yue (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Multi-objective optimization based network control principles for identifying personalized drug targets with cancer. - Jing Liang 005; Zhuo Hu; Zong-Wei Li; Kangjia Qiao; Weifeng Guo (CoRR, 2023)

Parameter optimization of energy-efficient antenna system using period-based memetic algorithm. - Zhou Wu 001; Mingyuan Yu; Jing Liang 005 (Expert Syst. Appl., 2023)

Corrigendum to "Constrained multiobjective differential evolution algorithm with infeasible-proportion control mechanism" [Knowl.-Based Syst. (2022) 109105]. - Jing Liang 005; Xuanxuan Ban; Kunjie Yu; Kangjia Qiao; Boyang Qu (Knowl. Based Syst., 2023)

DAFA-BiLSTM: Deep Autoregression Feature Augmented Bidirectional LSTM network for time series prediction. - Heshan Wang; Yiping Zhang; Jing Liang 005; Lili Liu (Neural Networks, 2023)

Multiobjective Differential Evolution for Feature Selection in Classification. - Peng Wang 102; Bing Xue 001; Jing Liang 005; Mengjie Zhang 001 (IEEE Trans. Cybern., 2023)

Multiobjective Differential Evolution With Speciation for Constrained Multimodal Multiobjective Optimization. - Jing Liang 005; Hongyu Lin; Caitong Yue; Kunjie Yu; Ying Guo; Kangjia Qiao (IEEE Trans. Evol. Comput., 2023)

Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization. - Kangjia Qiao; Kunjie Yu; Boyang Qu; Jing Liang 005; Hui Song; Caitong Yue; Hongyu Lin; Kay Chen Tan (IEEE Trans. Evol. Comput., 2023)

Feature Extraction for Recommendation of Constrained Multiobjective Evolutionary Algorithms. - Kangjia Qiao; Kunjie Yu; Boyang Qu; Jing Liang 005; Caitong Yue; Xuanxuan Ban (IEEE Trans. Evol. Comput., 2023)

DMEF-Net: Lightweight Infrared Dim Small Target Detection Network for Limited Samples. - Tianlei Ma; Zhen Yang 026; Yi-Fan Song; Jing J. Liang; Heshan Wang (IEEE Trans. Geosci. Remote. Sens., 2023)

Manifold clustering-based prediction for dynamic multiobjective optimization. - Li Yan 006; Wenlong Qi; A. Kai Qin; Shengxiang Yang; Dunwei Gong; Boyang Qu; Jing Liang 005 (Swarm Evol. Comput., 2023)

An improved Kalman particle swarm optimization for modeling and optimizing of boiler combustion characteristics. - Jing J. Liang; Hao Guo; Ke Chen; Kunjie Yu; Caitong Yue; Xia Li (Robotica, 2023)

A Survey on Evolutionary Constrained Multiobjective Optimization. - Jing J. Liang; Xuanxuan Ban; Kunjie Yu; Boyang Qu; Kangjia Qiao; Caitong Yue; Ke Chen; Kay Chen Tan (IEEE Trans. Evol. Comput., 2023)

Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach. - Peng Wang 102; Bing Xue 001; Jing J. Liang; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2023)

A Novel Differential Evolution Algorithm Based on Local Fitness Landscape Information for Optimization Problems. - Jing J. Liang; Ke Li; Kunjie Yu; Caitong Yue; Yaxin Li; Hui Song (IEICE Trans. Inf. Syst., 2023)

Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution. - Peng Wang 102; Bing Xue 001; Jing Liang 005; Mengjie Zhang 001 (Inf. Sci., 2023)

Utilizing the Relationship Between Unconstrained and Constrained Pareto Fronts for Constrained Multiobjective Optimization. - Jing J. Liang; Kangjia Qiao; Kunjie Yu; Boyang Qu; Caitong Yue; Weifeng Guo; Ling Wang 001 (IEEE Trans. Cybern., 2023)

Feature clustering-Assisted feature selection with differential evolution. - Peng Wang 102; Bing Xue 001; Jing J. Liang; Mengjie Zhang 001 (Pattern Recognit., 2023)

A Self-Adaptive Evolutionary Multi-Task Based Constrained Multi-Objective Evolutionary Algorithm. - Kangjia Qiao; Jing Liang 005; Kunjie Yu; Minghui Wang; Boyang Qu; Caitong Yue; Yinan Guo 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

ASMEvoNAS: Adaptive segmented multi-objective evolutionary network architecture search. - Li Yan 006; Zhipeng Zhang; Jing Liang 005; Boyang Qu; Kunjie Yu; Kongyuan Wang (Appl. Soft Comput., 2023)

Evolutionary Multitasking with Global and Local Auxiliary Tasks for Constrained Multi-Objective Optimization. - Kangjia Qiao; Jing Liang 005; Zhongyao Liu; Kunjie Yu; Caitong Yue; Boyang Qu (IEEE CAA J. Autom. Sinica, 2023)

An incremental random walk algorithm for sampling continuous fitness landscapes. - Yaxin Li; Jing Liang 005; Caitong Yue; Kunjie Yu; Hao Guo (Neurocomputing, 2023)

Differential Evolution With Duplication Analysis for Feature Selection in Classification. - Peng Wang 102; Bing Xue 001; Jing Liang 005; Mengjie Zhang 001 (IEEE Trans. Cybern., 2023)

A Correlation-Guided Layered Prediction Approach for Evolutionary Dynamic Multiobjective Optimization. - Kunjie Yu; Dezheng Zhang; Jing Liang 005; Ke Chen; Caitong Yue; Kangjia Qiao; Ling Wang 001 (IEEE Trans. Evol. Comput., 2023)

Analytical Modeling of Slotless Axial Flux Permanent Magnet Motor With Equidirectional Toroidal Winding. - Jikai Si; Yanqi Wei; Rui Nie; Jing J. Liang; Chun Gan; Yihua Hu 004 (IEEE Trans. Ind. Electron., 2023)

Imbalanced least squares regression with adaptive weight learning. - Yanting Li; Junwei Jin 001; Jiangtao Ma; Fubao Zhu; Baohua Jin; Jing Liang 005; C. L. Philip Chen (Inf. Sci., 2023)

A bidirectional dynamic grouping multi-objective evolutionary algorithm for feature selection on high-dimensional classification. - Kunjie Yu; Shaoru Sun; Jing Liang 005; Ke Chen; Boyang Qu; Caitong Yue; Ling Wang 001 (Inf. Sci., 2023)

Fuzzy-based variable impedance control of uncertain robot manipulator in the flexible environment: A nonlinear force contact model-based approach. - Ying Guo; Jinzhu Peng; Shuai Ding; Jing Liang 005; Yaonan Wang 001 (J. Intell. Fuzzy Syst., 2023)

A dynamic constrained multiobjective evolutionary algorithm based on decision variable classification. - Yinan Guo 001; Mingyi Huang; Guoyu Chen; Dunwei Gong; Jing J. Liang; Zekuan Yu (Swarm Evol. Comput., 2023)

Interactive niching-based two-stage evolutionary algorithm for constrained multiobjective optimization. - Jing J. Liang; Leiyu Zhang; Kunjie Yu; Boyang Qu; Fuxing Shang; Kangjia Qiao (Swarm Evol. Comput., 2023)

A Knowledge Guided Transfer Strategy for Evolutionary Dynamic Multiobjective Optimization. - Yinan Guo 001; Guoyu Chen; Min Jiang 005; Dunwei Gong; Jing Liang 005 (IEEE Trans. Evol. Comput., 2023)

Interindividual Correlation and Dimension-Based Dual Learning for Dynamic Multiobjective Optimization. - Li Yan 006; Wenlong Qi; Jing Liang 005; Boyang Qu; Kunjie Yu; Caitong Yue; Xuzhao Chai (IEEE Trans. Evol. Comput., 2023)

A Novel Adaptive Bandit-Based Selection Hyper-Heuristic for Multiobjective Optimization. - Shuyan Zhang; Tailong Yang; Jing J. Liang; Caitong Yue (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Intelligent Reflecting Surface-Assisted Wireless Powered Heterogeneous Networks. - Zhengyu Zhu 001; Zheng Li; Zheng Chu 001; Qingqing Wu 001; Jing J. Liang; Yunlu Xiao; Peijia Liu; Inkyu Lee (IEEE Trans. Wirel. Commun., 2023)

A Two-Stage Evolutionary Framework for Multi-Objective Optimization. - Peng Chen 008; Jing J. Liang; Kangjia Qiao; Ponnuthurai Nagaratnam Suganthan; Xuanxuan Ban (CEC, 2024)

A Niching-Based Reproduction and Preselection-Based Multiobjective Differential Evolution for Multimodal Multiobjective Optimization. - Hongyu Lin; Jing J. Liang; Caitong Yue; Yaonan Wang 001 (CEC, 2024)

Dimensionality Reduction for Classification Using Divide-and-Conquer Based Genetic Programming. - Peng Wang 102; Bing Xue 001; Jing Liang 005; Mengjie Zhang 001 (CEC, 2024)

Multimodal Multi-Objective Flexible Job Shop Scheduling: A Preliminary Study. - Caitong Yue; Liming Liu; Jing Liang 005; Gongping Li; Bi Ying; Mingyuan Yu (CEC, 2024)

Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification. - Tuo Zhang; Ying Bi; Jing Liang 005; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2024)

A Joint Prediction Strategy Based on Multiple Feature Points for Dynamic Multi-objective Optimization. - Yaxin Li; Li Yan 006; Kunjie Yu; Jing Liang 005; Boyang Qu (ICSI (1), 2024)

Discriminative elastic-net broad learning systems for visual classification. - Yanting Li; Junwei Jin 001; Yun Geng; Yang Xiao 001; Jing Liang 005; C. L. Philip Chen (Appl. Soft Comput., 2024)

Complemented subspace-based weighted collaborative representation model for imbalanced learning. - Yanting Li; Junwei Jin 001; Hongwei Tao; Yang Xiao 001; Jing Liang 005; C. L. Philip Chen (Appl. Soft Comput., 2024)

An evolutionary multiobjective method based on dominance and decomposition for feature selection in classification. - Jing Liang 005; Yuyang Zhang; Ke Chen; Boyang Qu; Kunjie Yu; Caitong Yue; Ponnuthurai Nagaratnam Suganthan (Sci. China Inf. Sci., 2024)

Imbalanced complemented subspace representation with adaptive weight learning. - Yanting Li; Shuai Wang; Junwei Jin 001; Fubao Zhu; Liang Zhao; Jing Liang 005; C. L. Philip Chen (Expert Syst. Appl., 2024)

Knowledge-embedded constrained multiobjective evolutionary algorithm based on structural network control principles for personalized drug targets recognition in cancer. - Kangjia Qiao; Jing Liang 005; Weifeng Guo; Zhuo Hu; Kunjie Yu; Ponnuthurai N. Suganthan (Inf. Sci., 2024)

Surrogate-assisted PSO with archive-based neighborhood search for medium-dimensional expensive multi-objective problems. - Mingyuan Yu; Zhou Wu 001; Jing Liang 005; Caitong Yue (Inf. Sci., 2024)

An archive-assisted multi-modal multi-objective evolutionary algorithm. - Peng Chen 008; Zhimeng Li; Kangjia Qiao; Ponnuthurai N. Suganthan; Xuanxuan Ban; Kunjie Yu; Caitong Yue; Jing Liang 005 (Swarm Evol. Comput., 2024)

Multimodal multiobjective differential evolution algorithm based on enhanced decision space search. - Jing Liang 005; Xudong Sui; Caitong Yue; Mingyuan Yu; Guang Li 012; Mengmeng Li 001 (Swarm Evol. Comput., 2024)

Benchmark problems for large-scale constrained multi-objective optimization with baseline results. - Kangjia Qiao; Jing Liang 005; Kunjie Yu; Weifeng Guo; Caitong Yue; Boyang Qu; Ponnuthurai N. Suganthan (Swarm Evol. Comput., 2024)

Constraint subsets-based evolutionary multitasking for constrained multiobjective optimization. - Kunjie Yu; Lingjun Wang; Jing Liang 005; Heshan Wang; Kangjia Qiao; Tianye Liang (Swarm Evol. Comput., 2024)

A Multitree Genetic Programming-Based Feature Construction Approach to Crop Classification Using Hyperspectral Images. - Jing J. Liang; Zexuan Yang; Ying Bi; Boyang Qu; Mengnan Liu; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

MCDNet: An Infrared Small Target Detection Network Using Multi-Criteria Decision and Adaptive Labeling Strategy. - Tianlei Ma; Qi Ma; Zhen Yang 026; Jing J. Liang; Jun Fu 008; Yu Dou; Yanan Ku; Usman Ahmad; Liangqiong Qu (IEEE Trans. Geosci. Remote. Sens., 2024)

MSMA-Net: An Infrared Small Target Detection Network by Multiscale Super-Resolution Enhancement and Multilevel Attention Fusion. - Tianlei Ma; Hao Wang 188; Jing J. Liang; Jinzhu Peng; Qi Ma; Zhiqiang Kai (IEEE Trans. Geosci. Remote. Sens., 2024)

A dual-population evolutionary algorithm based on dynamic constraint processing and resources allocation for constrained multi-objective optimization problems. - Kangjia Qiao; Zhaolin Chen; Boyang Qu; Kunjie Yu; Caitong Yue; Ke Chen; Jing J. Liang (Expert Syst. Appl., 2024)

Graph gating-mixer for sequential recommendation. - Bin Wu 019; Xun Su; Jing J. Liang; Zhongchuan Sun; Lihong Zhong; Yangdong Ye (Expert Syst. Appl., 2024)

Collaborative resource allocation-based differential evolution for solving numerical optimization problems. - Yaxin Li; Jing Liang 005; Caitong Yue; Kunjie Yu; Xuanxuan Ban; Peng Chen 008 (Inf. Sci., 2024)

Optimal Scheduling of Mobile Energy Storage Capable of Variable Speed Energy Transmission. - Quan Sui; Jingyu Zhang; Le Sun; Jing J. Liang; Fanrong Wei; Xiangning Lin (IEEE Trans. Smart Grid, 2024)

Multiobjective Differential Evolution for Higher-Dimensional Multimodal Multiobjective Optimization. - Jing Liang 005; Hongyu Lin; Caitong Yue; Ponnuthurai Nagaratnam Suganthan; Yaonan Wang 001 (IEEE CAA J. Autom. Sinica, 2024)

Active Reconfigurable Intelligent Surface Enhanced Internet of Medical Things. - Zhengyu Zhu 001; Jiaxue Li; Zheng Chu 001; Jing J. Liang; Hehao Niu; De Mi; Cheng Yin; Peijia Liu (IEEE J. Biomed. Health Informatics, 2024)

Constraints Separation Based Evolutionary Multitasking for Constrained Multi-Objective Optimization Problems. - Kangjia Qiao; Jing J. Liang; Kunjie Yu; Xuanxuan Ban; Caitong Yue; Boyang Qu; Ponnuthurai Nagaratnam Suganthan (IEEE CAA J. Autom. Sinica, 2024)

A Multiform Optimization Framework for Multiobjective Feature Selection in Classification. - Jing Liang 005; Yuyang Zhang; Boyang Qu; Ke Chen; Kunjie Yu; Caitong Yue (IEEE Trans. Evol. Comput., 2024)

Evolutionary Constrained Multiobjective Optimization: Scalable High-Dimensional Constraint Benchmarks and Algorithm. - Kangjia Qiao; Jing Liang 005; Kunjie Yu; Caitong Yue; Hongyu Lin; Dezheng Zhang; Boyang Qu (IEEE Trans. Evol. Comput., 2024)

A Framework Based on Historical Evolution Learning for Dynamic Multiobjective Optimization. - Kunjie Yu; Dezheng Zhang; Jing Liang 005; Boyang Qu; Mengnan Liu; Ke Chen; Caitong Yue; Ling Wang 001 (IEEE Trans. Evol. Comput., 2024)

Unified Analytical Modeling of Armature Magnetic Field of Slotless PM Motor With Equidirectional Toroidal Winding. - Yanqi Wei; Jikai Si; Rui Nie; Peixin Wang; Shuai Xu; Chun Gan; Jing J. Liang (IEEE Trans. Ind. Electron., 2024)

Robust High-Order Control Barrier Functions-Based Optimal Control for Constrained Nonlinear Systems With Safety-Stability Perspectives. - Jinzhu Peng; Haijing Wang; Shuai Ding; Jing J. Liang; Yaonan Wang 001 (IEEE Trans Autom. Sci. Eng., 2024)

A Genetic Programming Approach With Building Block Evolving and Reusing to Image Classification. - Ying Bi; Jing J. Liang; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

Evolutionary Dynamic Constrained Multiobjective Optimization: Test Suite and Algorithm. - Guoyu Chen; Yinan Guo 001; Yong Wang 002; Jing J. Liang; Dunwei Gong; Shengxiang Yang (IEEE Trans. Evol. Comput., 2024)

Multiobjective Optimization-Based Network Control Principles for Identifying Personalized Drug Targets With Cancer. - Jane-Jing Liang; Zhuo Hu; Zong-Wei Li; Kangjia Qiao; Weifeng Guo (IEEE Trans. Evol. Comput., 2024)

MSGNet: A Multi-Feature Lightweight Learning Network for Automatic Modulation Recognition. - Zhengyu Zhu 001; Ning Zhou; Zixuan Wang; Jing Liang 005; Zhongyong Wang (IEEE Commun. Lett., 2024)

Flexible Label-Induced Manifold Broad Learning System for Multiclass Recognition. - Junwei Jin 001; Biao Geng; Yanting Li; Jing Liang 005; Yang Xiao 001; C. L. Philip Chen (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Cooperative Multistep Mutation Strategy for Multiobjective Optimization Problems With Deceptive Constraints. - Kangjia Qiao; Kunjie Yu; Caitong Yue; Boyang Qu; Mengnan Liu; Jing J. Liang (IEEE Trans. Syst. Man Cybern. Syst., 2024)

A Space Transformation-Based Multiform Approach for Multiobjective Feature Selection in High-Dimensional Classification. - Kunjie Yu; Shaoru Sun; Jing Liang 005; Ke Chen; Boyang Qu; Caitong Yue; Ponnuthurai Nagaratnam Suganthan (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Dynamic Threshold Selection in Genetic Programming for Imbalanced Fault Diagnosis. - Ke Chen; Tianqing Wu; Ying Bi; Jing Liang 005; Kunjie Yu (CEC, 2025)

Automatic Feature Learning via Genetic Programming with Flexible Filtering for Skin Cancer Image Classification. - Kunjie Yu; Jintao Lian; Ying Bi; Jing Liang 005 (CEC, 2025)

Multimodal Multiobjective Optimization in the Charging Station Site Selection. - Caitong Yue; Lihong Cheng; Jing Liang 005; Kunjie Yu; Mengmeng Li 001 (CEC, 2025)

Small aerial object detection through GAN-integrated feature pyramid networks. - Usman Ahmad; Jing Liang 005; Tianlei Ma; Kunjie Yu; Faisal Mehmood; Farhad Banoori (Appl. Soft Comput., 2025)

A cooperation and competition-based tri-population evolutionary algorithm for constrained multi-objective optimization. - Kunjie Yu; Lianhe Duan; Jing Liang 005; Kangjia Qiao; Boyang Qu; Quan Sui; Xiangyang Ren (Appl. Soft Comput., 2025)

A new multi-tree Genetic Programming approach to feature construction in high-dimensional classification. - Ke Chen; Mingyang Dao; Ying Bi; Jing Liang 005; Zhenlong Wu; Peng Wang 102 (Knowl. Based Syst., 2025)

A multimodal multiobjective evolutionary algorithm based on neighborhood and enhanced special crowding distance. - Caitong Yue; Jiankang Song; Jing Liang 005; Mengnan Liu; Kunjie Yu; Hongyu Lin; Ying Bi (Knowl. Based Syst., 2025)

A temporal-segmentation-and-fusion-based large-scale constrained multi-objective evolutionary algorithm for coal mine integrated energy systems dispatch. - Xuanxuan Ban; Jing Liang 005; Dunwei Gong; Yong Zhang 016; Yaonan Wang 001; Canyun Dai; Kangjia Qiao; Kunjie Yu (Swarm Evol. Comput., 2025)

A single-objective Sequential Search Assistance-based Multi-Objective Algorithm Framework. - Peng Chen 008; Jing J. Liang; Kangjia Qiao; Xuanxuan Ban; Ponnuthurai N. Suganthan; Hongyu Lin; Jilong Zhang (Swarm Evol. Comput., 2025)

A subspace strategy based coevolutionary framework for constrained multimodal multiobjective optimization problems. - Li Yan 006; Shunge Guo; Jing Liang 005; Boyang Qu; Chao Li 076; Kunjie Yu (Swarm Evol. Comput., 2025)

Dual-population collaborative prediction with reinforcement learning adjusting for dynamic multi-objective optimization. - Li Yan 006; Yinjin Wu; Yaxin Li; Boyang Qu; Jing Liang 005; Kunjie Yu; Dezheng Zhang (Swarm Evol. Comput., 2025)

An individual adaptive evolution and regional collaboration based evolutionary algorithm for large-scale constrained multiobjective optimization problems. - Kunjie Yu; Zhenyu Yang 008; Jing Liang 005; Kangjia Qiao; Boyang Qu; Ponnuthurai Nagaratnam Suganthan (Swarm Evol. Comput., 2025)

Multi-objective genetic programming based on decomposition for feature learning in image classification. - Tuo Zhang; Ying Bi; Jing Liang 005; Bing Xue 001; Mengjie Zhang 001 (Swarm Evol. Comput., 2025)

Self-Prior Guided Spatial and Fourier Transformer for Nighttime Flare Removal. - Tianlei Ma; Zhiqiang Kai; Xikui Miao; Jing Liang 005; Jinzhu Peng; Yaonan Wang 001; Hao Wang 188; Xinhao Liu 011 (IEEE Trans Autom. Sci. Eng., 2025)

Conflict-Free Routing of Twin Reclaimers in the Stockyard Based on a Time-Space Network Model. - Jianbin Xin; Chang Liu; Andrea D'Ariano; Shi Qiang Liu; Jing Liang 005 (IEEE Trans Autom. Sci. Eng., 2025)

A Decoupled Few-Shot Defect Detection Approach via Vector Quantization Feature Aggregation. - Xin Guo 005; Pengcheng Zhang; Peixiao Zheng; Zhong Zhang; Jing Liang 005 (IEEE Trans. Instrum. Meas., 2025)

Temporal-Spatial Information Fusion Network for Multiframe Infrared Small Target Detection. - Tianlei Ma; Hao Wang 188; Jing J. Liang; Yaonan Wang 001; Jinzhu Peng; Zhiqiang Kai; Xinhao Liu 011 (IEEE Trans. Instrum. Meas., 2025)

Robust Bias-Compensated CR-NSAF Algorithm: Design and Performance Analysis. - Pengwei Wen; Bolin Wang; Boyang Qu; Sheng Zhang 006; Haiquan Zhao 001; Jing J. Liang (IEEE Trans. Syst. Man Cybern. Syst., 2025)

A Local Knowledge Transfer-Based Evolutionary Algorithm for Constrained Multitask Optimization. - Xuanxuan Ban; Jing Liang 005; Kunjie Yu; Yaonan Wang 001; Kangjia Qiao; Jinzhu Peng; Dunwei Gong; Canyun Dai (IEEE Trans. Syst. Man Cybern. Syst., 2025)

A Subspace Search-Based Evolutionary Algorithm for Large-Scale Constrained Multiobjective Optimization and Application. - Xuanxuan Ban; Jing J. Liang; Kunjie Yu; Kangjia Qiao; Ponnuthurai Nagaratnam Suganthan; Yaonan Wang 001 (IEEE Trans. Cybern., 2025)

A survey of surrogate-assisted evolutionary algorithms for expensive optimization. - Jing Liang 005; Yahang Lou; Mingyuan Yu; Ying Bi; Kunjie Yu (J. Membr. Comput., 2025)

Underwater Image Enhancement via Wavelet Decomposition Fusion of Advantage Contrast. - Weidong Zhang 007; Qingmin Liu; Huimin Lu 001; Jianping Wang 004; Jing Liang 005 (IEEE Trans. Circuits Syst. Video Technol., 2025)

A Survey on Evolutionary Computation for Identifying Biomarkers of Complex Disease. - Jing Liang 005; Zhuo Hu; Ying Bi; Han Cheng; Kunjie Yu; Cai-Tong Yue; Xianfang Wang; Weifeng Guo (IEEE Trans. Evol. Comput., 2025)

A Reinforced Neighborhood Search Method Combined With Genetic Algorithm for Multi-Objective Multi-Robot Transportation System. - Peng Chen 008; Jing J. Liang; Kangjia Qiao; Hui Song; Ponnuthurai Nagaratnam Suganthan; Lou-Lei Dai; Xuanxuan Ban (IEEE Trans. Intell. Transp. Syst., 2025)

A Multiform Framework for Multiobjective Feature Selection in Unbalanced Classification: Combining Oversampling and Cost-Sensitive Learning. - Jing J. Liang; Yu-Yang Zhang; Boyang Qu; Ke Chen; Kunjie Yu; Caitong Yue (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Objective-Constraint Correlation-Guided Evolutionary Direction Adaptive Adjustment for Expensive Constrained Optimization. - Kunjie Yu; Fan Chen; Jing J. Liang; Mingyuan Yu; Ke Chen; Caitong Yue; Ying Bi (IEEE Trans. Syst. Man Cybern. Syst., 2025)