Constrained optimization based on improved teaching-learning-based optimization algorithm. - Kunjie Yu; Xin Wang 012; Zhenlei Wang (Inf. Sci., 2016)

An improved teaching-learning-based optimization algorithm for numerical and engineering optimization problems. - Kunjie Yu; Xin Wang 012; Zhenlei Wang (J. Intell. Manuf., 2016)

Multiple learning particle swarm optimization with space transformation perturbation and its application in ethylene cracking furnace optimization. - Kunjie Yu; Xin Wang 012; Zhenlei Wang (Knowl. Based Syst., 2016)

Cyclic scheduling for an ethylene cracking furnace system using diversity learning teaching-learning-based optimization. - Kunjie Yu; Lyndon While; Mark Reynolds 001; Xin Wang 012; Zhenlei Wang (Comput. Chem. Eng., 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)

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)

Teaching-Learning-Based Optimization with Learning Enthusiasm Mechanism and Its Application in Chemical Engineering. - Xu Chen 006; Bin Xu 012; Kunjie Yu; Wenli Du (J. Appl. Math., 2018)

Quadratic interpolation based teaching-learning-based optimization for chemical dynamic system optimization. - Xu Chen 006; Congli Mei; Bin Xu 012; Kunjie Yu; Xiuhui Huang (Knowl. Based Syst., 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)

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)

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)

Optimizing simple deterministically constructed cycle reservoir network with a Redundant Unit Pruning Auto-Encoder algorithm. - Heshan Wang; Q. M. Jonathan Wu; Jie Wang 026; Wei Wu; Kunjie Yu (Neurocomputing, 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)

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)

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)

Parameters Identification of Photovoltaic Cell and Module Using LSHADE. - Mohammed El-Abd; Kunjie Yu; Shilei Ge (ICACI, 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)

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)

Echo state network with a global reversible autoencoder for time series classification. - Heshan Wang; Q. M. Jonathan Wu; Dongshu Wang; Jianbin Xin; Yimin Yang 001; Kunjie Yu (Inf. Sci., 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)

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)

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)

Brushless direct current motor design using a self-adaptive JAYA optimisation algorithm. - Li Yan 006; Chuang Zhang; Boyang Qu; Kunjie Yu; Caitong Yue (Int. J. Bio Inspired Comput., 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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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 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)

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)

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)

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)

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 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)

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)

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)

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 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 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)

A constrained multi-objective evolutionary algorithm based on online problem identification and separate handling. - Xinyu Zhou; Long Fan; Kunjie Yu; Kangjia Qiao (Swarm Evol. Comput., 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)

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 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)

A multi-population evolutionary algorithm based on constraint grouping for constrained multiobjective optimization problems. - Dezheng Zhang; Lingjun Wang; Kangjia Qiao; Kunjie Yu; Yumeng Li (Expert Syst. Appl., 2026)