Kunjie Yu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 70

Top Topics

Multiobjective Optimization

Differential Evolution

Top Venues

IEEE Trans. Evol. Comput.

Swarm Evol. Comput.

Appl. Soft Comput.

Publications

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)
Kangjia Qiao, Jing J. Liang, Kunjie Yu, Xuanxuan Ban, Caitong Yue, Boyang Qu, Ponnuthurai Nagaratnam Suganthan
Constraints Separation Based Evolutionary Multitasking for Constrained Multi-Objective Optimization Problems. IEEE CAA J. Autom. Sinica 11 (8) (2024)
Kangjia Qiao, Zhaolin Chen, Boyang Qu, Kunjie Yu, Caitong Yue, Ke Chen, Jing Liang
A dual-population evolutionary algorithm based on dynamic constraint processing and resources allocation for constrained multi-objective optimization problems. Expert Syst. Appl. 238 (Part A) (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)
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)
Jing J. Liang, Ke Li, Kunjie Yu, Caitong Yue, Yaxin Li, Hui Song
A Novel Differential Evolution Algorithm Based on Local Fitness Landscape Information for Optimization Problems. IEICE Trans. Inf. Syst. 106 (5) (2023)
Jing Liang, Hao Guo, Ke Chen, Kunjie Yu, Caitong Yue, Xia Li
An improved Kalman particle swarm optimization for modeling and optimizing of boiler combustion characteristics. Robotica 41 (4) (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)
Jing J. Liang, Kangjia Qiao, Kunjie Yu, Boyang Qu, Caitong Yue, Weifeng Guo, Ling Wang
Utilizing the Relationship Between Unconstrained and Constrained Pareto Fronts for Constrained Multiobjective Optimization. IEEE Trans. Cybern. 53 (6) (2023)
Jing J. Liang, Xuanxuan Ban, Kunjie Yu, Boyang Qu, Kangjia Qiao, Caitong Yue, Ke Chen, Kay Chen Tan
A Survey on Evolutionary Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. 27 (2) (2023)
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 J. Liang, Leiyu Zhang, Kunjie Yu, Boyang Qu, Fuxing Shang, Kangjia Qiao
Interactive niching-based two-stage evolutionary algorithm for constrained multiobjective optimization. Swarm Evol. Comput. 83 (2023)
Li Yan, Chuang Zhang, Boyang Qu, Kunjie Yu, Caitong Yue
Brushless direct current motor design using a self-adaptive JAYA optimisation algorithm. Int. J. Bio Inspired Comput. 20 (3) (2022)
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)
Yaxin Li, Kunjie Yu, Jing J. Liang, Caitong Yue, Kangjia Qiao
A landscape-aware particle swarm optimization for parameter identification of photovoltaic models. Appl. Soft Comput. 131 (2022)
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)
Yaxin Li, Jing J. Liang, Kunjie Yu, Ke Chen, Yinan Guo, Caitong Yue, Leiyu Zhang
Adaptive local landscape feature vector for problem classification and algorithm selection. Appl. Soft Comput. 131 (2022)
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)
Caitong Yue, Ponnuthurai N. Suganthan, Jing J. Liang, Boyang Qu, Kunjie Yu, Yongsheng Zhu, Li Yan
Differential evolution using improved crowding distance for multimodal multiobjective optimization. Swarm Evol. Comput. 62 (2021)
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)
Kunjie Yu, Jing Liang, Boyang Qu, Caitong Yue
Purpose-directed two-phase multiobjective differential evolution for constrained multiobjective optimization. Swarm Evol. Comput. 60 (2021)
Heshan Wang, Q. M. Jonathan Wu, Dongshu Wang, Jianbin Xin, Yimin Yang, Kunjie Yu
Echo state network with a global reversible autoencoder for time series classification. Inf. Sci. 570 (2021)
Mohammed El-Abd, Kunjie Yu, Shilei Ge
Parameters Identification of Photovoltaic Cell and Module Using LSHADE. ICACI (2020)
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 J. Liang, Ponnuthurai N. Suganthan, Bo-Yang Qu, Kunjie Yu, S. Liu
MMOGA for Solving Multimodal Multiobjective Optimization Problems with Local Pareto Sets. CEC (2020)
Caitong Yue, Jing J. Liang, Bo-Yang Qu, Kunjie Yu, Hui Song
Multimodal Multiobjective Optimization in Feature Selection. CEC (2019)
Jing J. Liang, Yaxin Li, Boyang Qu, Kunjie Yu, Yi Hu
Mutation Strategy Selection Based on Fitness Landscape Analysis: A Preliminary Study. BIC-TA (1) (2019)
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)
Yi Hu, Jie Wang, Jing J. Liang, Kunjie Yu, Hui Song, Qianqian Guo, Caitong Yue, Yanli Wang
A self-organizing multimodal multi-objective pigeon-inspired optimization algorithm. Sci. China Inf. Sci. 62 (7) (2019)
Heshan Wang, Q. M. Jonathan Wu, Jie Wang, Wei Wu, Kunjie Yu
Optimizing simple deterministically constructed cycle reservoir network with a Redundant Unit Pruning Auto-Encoder algorithm. Neurocomputing 356 (2019)
Kunjie Yu, S. L. Ge, Bo-Yang Qu, Jing J. Liang
A Modified Particle Swarm Optimization for Parameters Identification of Photovoltaic Models. CEC (2019)
Caitong Yue, Boyang Qu, Kunjie Yu, Jing J. Liang, Xiaodong Li
A novel scalable test problem suite for multimodal multiobjective optimization. Swarm Evol. Comput. 48 (2019)
Jing 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)
Jing J. Liang, Panpan Wei, Boyang Qu, Kunjie Yu, Caitong Yue, Yi Hu, Shilei Ge
Ensemble Learning Based on Multimodal Multiobjective Optimization. BIC-TA (1) (2019)
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)
Jing J. Liang, Weiwei Xu, Caitong Yue, Kunjie Yu, Hui Song, Oscar D. Crisalle, Boyang Qu
Multimodal multiobjective optimization with differential evolution. Swarm Evol. Comput. 44 (2019)
Jing 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)
Xu Chen, Bin Xu, Kunjie Yu, Wenli Du
Teaching-Learning-Based Optimization with Learning Enthusiasm Mechanism and Its Application in Chemical Engineering. J. Appl. Math. 2018 (2018)
Xu Chen, Congli Mei, Bin Xu, Kunjie Yu, Xiuhui Huang
Quadratic interpolation based teaching-learning-based optimization for chemical dynamic system optimization. Knowl. Based Syst. 145 (2018)
Jing J. Liang, P. Wang, Caitong Yue, Kunjie Yu, Z. H. Li, Bo-Yang Qu
Multi-objective Brainstorm Optimization Algorithm for Sparse Optimization. CEC (2018)
Kunjie Yu, Lyndon While, Mark Reynolds, Xin Wang, Zhenlei Wang
Cyclic scheduling for an ethylene cracking furnace system using diversity learning teaching-learning-based optimization. Comput. Chem. Eng. 99 (2017)
Kunjie Yu, Xin Wang, Zhenlei Wang
Constrained optimization based on improved teaching-learning-based optimization algorithm. Inf. Sci. (2016)
Kunjie Yu, Xin Wang, Zhenlei Wang
An improved teaching-learning-based optimization algorithm for numerical and engineering optimization problems. J. Intell. Manuf. 27 (4) (2016)
Kunjie Yu, Xin Wang, Zhenlei Wang
Multiple learning particle swarm optimization with space transformation perturbation and its application in ethylene cracking furnace optimization. Knowl. Based Syst. 96 (2016)