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2020 – today
- 2024
[j58]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)- [j57]Kangjia Qiao, Zhaolin Chen, Boyang Qu, Kunjie Yu, Caitong Yue, Ke Chen, Jing J. 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): 121707 (2024) - [j56]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): 1819-1835 (2024) - [j55]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: 120104 (2024) - [j54]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: 121033 (2024) - [j53]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: 101504 (2024) - [j52]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: 101531 (2024) - [j51]Peng Chen, Zhimeng Li, Kangjia Qiao, Ponnuthurai N. Suganthan, Xuanxuan Ban, Kunjie Yu, Caitong Yue, Jing Liang:
An archive-assisted multi-modal multi-objective evolutionary algorithm. Swarm Evol. Comput. 91: 101738 (2024) - [j50]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): 965-979 (2024) - [j49]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): 1024-1038 (2024) - [j48]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): 1127-1140 (2024) - [j47]Kangjia Qiao, Kunjie Yu, Caitong Yue, Boyang Qu, Mengnan Liu, Jing J. Liang:
A Cooperative Multistep Mutation Strategy for Multiobjective Optimization Problems With Deceptive Constraints. IEEE Trans. Syst. Man Cybern. Syst. 54(11): 6670-6682 (2024) - [c14]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: 403-417 - 2023
- [j46]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: 110639 (2023) - [j45]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): 1951-1964 (2023) - [j44]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): 601-616 (2023) - [j43]Yaxin Li, Jing Liang, Caitong Yue, Kunjie Yu, Hao Guo:
An incremental random walk algorithm for sampling continuous fitness landscapes. Neurocomputing 553: 126549 (2023) - [j42]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: 119619 (2023) - [j41]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: 110076 (2023) - [j40]Jing J. 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): 1087-1097 (2023) - [j39]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: 101402 (2023) - [j38]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): 3873-3886 (2023) - [j37]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): 201-221 (2023) - [j36]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): 642-656 (2023) - [j35]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): 949-963 (2023) - [j34]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): 1115-1129 (2023) - [j33]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): 1398-1412 (2023) - [j32]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): 1780-1793 (2023) - [j31]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): 1098-1112 (2023) - 2022
- [j30]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: 108381 (2022) - [j29]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: 108606 (2022) - [j28]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: 109751 (2022) - [j27]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: 109793 (2022) - [j26]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): 1-3 (2022) - [j25]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): 35-58 (2022) - [j24]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): 139-149 (2022) - [j23]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: 107653 (2022) - [j22]Jing Liang, Xuanxuan Ban, Kunjie Yu, Kangjia Qiao, Boyang Qu:
Constrained multiobjective differential evolution algorithm with infeasible-proportion control mechanism. Knowl. Based Syst. 250: 109105 (2022) - [j21]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): 263-277 (2022) - [j20]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): 2954-2965 (2022) - [c13]Jing Liang, Junting Yang, Caitong Yue, Gongping Li, Kunjie Yu, Boyang Qu:
A Multimodal Multiobjective Genetic Algorithm for Feature Selection. CEC 2022: 1-8 - [c12]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: 367-372 - 2021
- [j19]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): 107951 (2021) - [j18]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): 108016 (2021) - [j17]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: 744-768 (2021) - [j16]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: 100788 (2021) - [j15]Kunjie Yu, Jing Liang, Boyang Qu, Caitong Yue:
Purpose-directed two-phase multiobjective differential evolution for constrained multiobjective optimization. Swarm Evol. Comput. 60: 100799 (2021) - [j14]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: 100849 (2021) - 2020
- [j13]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) - [j12]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): 331-341 (2020) - [c11]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: 1-8 - [c10]Mohammed El-Abd, Kunjie Yu, Shilei Ge:
Parameters Identification of Photovoltaic Cell and Module Using LSHADE. ICACI 2020: 189-193
2010 – 2019
- 2019
- [j11]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): 70206:1-70206:17 (2019) - [j10]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: 184-194 (2019) - [j9]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): 407-422 (2019) - [j8]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: 1028-1059 (2019) - [j7]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: 62-71 (2019) - [c9]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: 284-298 - [c8]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: 299-313 - [c7]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: 439-453 - [c6]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: 454-467 - [c5]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: 622-633 - [c4]Caitong Yue, Jing J. Liang, Bo-Yang Qu, Kunjie Yu, Hui Song:
Multimodal Multiobjective Optimization in Feature Selection. CEC 2019: 302-309 - [c3]Kunjie Yu, Shilei Ge, Bo-Yang Qu, Jing J. Liang:
A Modified Particle Swarm Optimization for Parameters Identification of Photovoltaic Models. CEC 2019: 2634-2641 - 2018
- [j6]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: 1806947:1-1806947:19 (2018) - [j5]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: 250-263 (2018) - [c2]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: 1-8 - [c1]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: 550-560 - 2017
- [j4]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: 314-324 (2017) - 2016
- [j3]Kunjie Yu, Xin Wang, Zhenlei Wang:
Constrained optimization based on improved teaching-learning-based optimization algorithm. Inf. Sci. 352-353: 61-78 (2016) - [j2]Kunjie Yu, Xin Wang, Zhenlei Wang:
An improved teaching-learning-based optimization algorithm for numerical and engineering optimization problems. J. Intell. Manuf. 27(4): 831-843 (2016) - [j1]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: 156-170 (2016)
Coauthor Index
[j58] [j57] [j56] [j55] [j54] [j53] [j52] [j51] [j50] [j49] [j48] [j47] [c14] [j46] [j45] [j44] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j23] [j22] [j21] [j20] [c13] [c12] [j19] [j18] [j16] [j15] [j14] [j13] [j12] [c11] [j11] [j9] [j8] [j7] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
Bo-Yang Qu
aka: Boyang Qu
aka: Boyang Qu
Ponnuthurai N. Suganthan
aka: Ponnuthurai Nagaratnam Suganthan
aka: Ponnuthurai Nagaratnam Suganthan
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