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ORCIDJing J. Liang
Jane-Jing Liang – Jing Liang 0005 – 梁静
Person information
- unicode name: 梁静
- affiliation: Zhengzhou University, School of Electrical Engineering, China
- affiliation (PhD 2009): Nanyang Technological University, Singapore
Other persons with the same name
- Jing Liang — disambiguation page
- Jing Liang 0001 — Silicon Labs. Inc., Austin, TX, USA (and 2 more)
- Jing Liang 0002
![[0000-0002-0860-6563]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0860-6563")
— University of Electronic Science and Technology, College of Electronic Engineering, Chengdu, China (and 2 more) - Jing Liang 0003 — Hong Kong University of Science and Technology, Department of Physics, Hong Kong
- Jing Liang 0004 — Chinese Academy of Sciences, Qingdao Institute of Bioenergy and Bioprocess Technology, CAS Key Laboratory of Biobased Materials, China
- Jing Liang 0006 — University of Maryland, Department of Computer Science, College Park, MD, USA (and 2 more)
- Jing Liang 0007 — Shanghai Jiao Tong University, MoE Key Lab of Artificial Intelligence, China
- Jing Liang 0008 (aka: Joleen Liang) — Macau University of Science and Technology, Macao, China (and 1 more)
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2020 – today
- 2024
[j75]Bin Wu, Xun Su, Jing J. Liang, Zhongchuan Sun, Lihong Zhong, Yangdong Ye:
Graph gating-mixer for sequential recommendation. Expert Syst. Appl. 238(Part E): 122060 (2024)- 2023
- [j74]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) - [j73]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) - [j72]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) - [j71]Yaxin Li, Jing Liang, Caitong Yue, Kunjie Yu, Hao Guo:
An incremental random walk algorithm for sampling continuous fitness landscapes. Neurocomputing 553: 126549 (2023) - [j70]Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang:
Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution. Inf. Sci. 626: 586-606 (2023) - [j69]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) - [j68]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) - [j67]Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang:
Feature clustering-Assisted feature selection with differential evolution. Pattern Recognit. 140: 109523 (2023) - [j66]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) - [j65]Li Yan, Wenlong Qi, A. Kai Qin, Shengxiang Yang, Dunwei Gong, Boyang Qu, Jing Liang:
Manifold clustering-based prediction for dynamic multiobjective optimization. Swarm Evol. Comput. 77: 101254 (2023) - [j64]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) - [j63]Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang:
Multiobjective Differential Evolution for Feature Selection in Classification. IEEE Trans. Cybern. 53(7): 4579-4593 (2023) - [j62]Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang:
Differential Evolution With Duplication Analysis for Feature Selection in Classification. IEEE Trans. Cybern. 53(10): 6676-6689 (2023) - [j61]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) - [j60]Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang:
Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach. IEEE Trans. Evol. Comput. 27(2): 296-310 (2023) - [j59]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) - [j58]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) - [j57]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) - [j56]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) - [j55]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) - [j54]Tianlei Ma, Zhen Yang, Yi-Fan Song, Jing J. Liang, Heshan Wang:
DMEF-Net: Lightweight Infrared Dim Small Target Detection Network for Limited Samples. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j53]Jikai Si, Yanqi Wei, Rui Nie, Jing J. Liang, Chun Gan, Yihua Hu:
Analytical Modeling of Slotless Axial Flux Permanent Magnet Motor With Equidirectional Toroidal Winding. IEEE Trans. Ind. Electron. 70(10): 10420-10430 (2023) - [i1]Jing Liang, Zhuo Hu, Zong-Wei Li, Kangjia Qiao, Wei-Feng Guo:
Multi-objective optimization based network control principles for identifying personalized drug targets with cancer. CoRR abs/2306.13349 (2023) - 2022
- [j52]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) - [j51]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) - [j50]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) - [j49]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) - [j48]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) - [j47]Guang Li, Jie Wang, Jing J. Liang, Caitong Yue, Tai-Shan Lou:
Parameter optimisation of sliding window algorithm based on ensemble multi-objective evolutionary computation. Int. J. Bio Inspired Comput. 19(4): 228-237 (2022) - [j46]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) - [j45]Mingyuan Yu, Jing Liang, Zhou Wu, Zhile Yang:
A twofold infill criterion-driven heterogeneous ensemble surrogate-assisted evolutionary algorithm for computationally expensive problems. Knowl. Based Syst. 236: 107747 (2022) - [j44]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) - [j43]Junwei Jin, Zhenhao Qin, Dengxiu Yu, Yanting Li, Jing Liang, C. L. Philip Chen:
Regularized discriminative broad learning system for image classification. Knowl. Based Syst. 251: 109306 (2022) - [j42]Mingyuan Yu, Jing Liang, Kai Zhao, Zhou Wu:
An aRBF surrogate-assisted neighborhood field optimizer for expensive problems. Swarm Evol. Comput. 68: 100972 (2022) - [j41]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) - [j40]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) - [c71]Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang:
Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers. AI 2022: 279-293 - [c70]Jing Liang, Junting Yang, Caitong Yue, Gongping Li, Kunjie Yu, Boyang Qu:
A Multimodal Multiobjective Genetic Algorithm for Feature Selection. CEC 2022: 1-8 - [c69]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
- [j39]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) - [j38]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) - [j37]Guang Li, Jing Liang, Caitong Yue:
Research on the Fastest Detection Method for Weak Trends under Noise Interference. Entropy 23(8): 1093 (2021) - [j36]Boyang Qu, Qian Zhou, Yongsheng Zhu, Jing Liang, Caitong Yue, Yuechao Jiao, Li Yan, Ponnuthurai Nagaratnam Suganthan:
An improved brain storm optimisation algorithm for energy-efficient train operation problem. Int. J. Bio Inspired Comput. 17(4): 236-245 (2021) - [j35]Yan-li Wang, Bo-Yang Qu, Jing Liang, Yi Hu, Yunpeng Wei:
Research on the ensemble feature selection algorithm based on multimodal optimisation techniques. Int. J. Bio Inspired Comput. 18(1): 49-58 (2021) - [j34]Jing Liang, Yunpeng Wei, Boyang Qu, Caitong Yue, Hui Song:
Ensemble learning based on fitness Euclidean-distance ratio differential evolution for classification. Nat. Comput. 20(1): 77-87 (2021) - [j33]Weifeng Guo, Xiangtian Yu, Qianqian Shi, Jing Liang, Shao-Wu Zhang, Tao Zeng:
Performance assessment of sample-specific network control methods for bulk and single-cell biological data analysis. PLoS Comput. Biol. 17(5) (2021) - [j32]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) - [j31]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) - [j30]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) - [c68]Yi Hu, Jing Liang, Boyang Qu, Jie Wang, Yanli Wang, Panpan Wei:
Evolutionary Ensemble Learning Using Multimodal Multi-objective Optimization Algorithm Based on Grid for Wind Speed Forecasting. CEC 2021: 1727-1734 - [c67]Peng Wang, Bing Xue, Mengjie Zhang, Jing J. Liang:
A Grid-dominance based Multi-objective Algorithm for Feature Selection in Classification. CEC 2021: 2053-2060 - [c66]Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang:
Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification. EvoApplications 2021: 489-505 - 2020
- [j29]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) - [j28]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) - [j27]Caitong Yue, Jing Liang, Boyang Qu, Yuhong Han, Yongsheng Zhu, Oscar D. Crisalle:
A novel multiobjective optimization algorithm for sparse signal reconstruction. Signal Process. 167 (2020) - [c65]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 - [e2]Linqiang Pan, Jing Liang, Boyang Qu:
Bio-inspired Computing: Theories and Applications - 14th International Conference, BIC-TA 2019, Zhengzhou, China, November 22-25, 2019, Revised Selected Papers, Part I. Communications in Computer and Information Science 1159, Springer 2020, ISBN 978-981-15-3424-9 [contents] - [e1]Linqiang Pan, Jing Liang, Boyang Qu:
Bio-inspired Computing: Theories and Applications - 14th International Conference, BIC-TA 2019, Zhengzhou, China, November 22-25, 2019, Revised Selected Papers, Part II. Communications in Computer and Information Science 1160, Springer 2020, ISBN 978-981-15-3414-0 [contents]
2010 – 2019
- 2019
- [j26]Jing J. Liang, Haotian Yang, Jiajia Gao, Caitong Yue, Shilei Ge, Boyang Qu:
MOPSO-Based CNN for Keyword Selection on Google Ads. IEEE Access 7: 125387-125400 (2019) - [j25]Yanli Wang, Boyang Qu, Jane-Jing Liang, Yunpeng Wei, Caitong Yue, Yi Hu, Hui Song:
Two-Stage Decomposition Method Based on Cooperation Coevolution for Feature Selection on High-Dimensional Classification. IEEE Access 7: 163191-163201 (2019) - [j24]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) - [j23]Quan-Ke Pan, Liang Gao, Ling Wang, Jing Liang, Xinyu Li:
Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem. Expert Syst. Appl. 124: 309-324 (2019) - [j22]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) - [j21]Boyang Qu, Jing J. Liang, Yongsheng Zhu, Ponnuthurai N. Suganthan:
Solving dynamic economic emission dispatch problem considering wind power by multi-objective differential evolution with ensemble of selection method. Nat. Comput. 18(4): 695-703 (2019) - [j20]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) - [j19]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) - [j18]Weizheng Zhang, Guoqing Li, Weiwei Zhang, Jing Liang, Gary G. Yen:
A cluster based PSO with leader updating mechanism and ring-topology for multimodal multi-objective optimization. Swarm Evol. Comput. 50 (2019) - [c64]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 - [c63]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 - [c62]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 - [c61]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 - [c60]Jie Wang, Chaohao Zhao, Jing Liang, Caitong Yue, Xiangyang Ren, Ke Bai:
Chromosome Medial Axis Extraction Method Based on Graphic Geometry and Competitive Extreme Learning Machines Teams (CELMT) Classifier for Chromosome Classification. BIC-TA (2) 2019: 550-564 - [c59]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 - [c58]Shi Cheng, Hui Lu, Yi-Nan Guo, Xiujuan Lei, Jing Liang, Junfeng Chen, Yuhui Shi:
Dynamic Multimodal Optimization: A Preliminary Study. CEC 2019: 279-285 - [c57]Caitong Yue, Jing J. Liang, Bo-Yang Qu, Kunjie Yu, Hui Song:
Multimodal Multiobjective Optimization in Feature Selection. CEC 2019: 302-309 - [c56]Jing J. Liang, Haotian Yang, Wenting Sun, Jiajia J. Gao:
PSO-based CNN for Keyword Selection on Google Ads. CEC 2019: 562-569 - [c55]Hui Song, A. Kai Qin, Pei-Wei Tsai, Jing J. Liang:
Multitasking Multi-Swarm Optimization. CEC 2019: 1937-1944 - [c54]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
- [j17]Bo-Yang Qu, Yongsheng Zhu, Y. C. Jiao, M. Y. Wu, Ponnuthurai N. Suganthan, Jing J. Liang:
A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems. Swarm Evol. Comput. 38: 1-11 (2018) - [j16]Guang Li, Jie Wang, Jing Liang, Caitong Yue:
Application of Sliding Nest Window Control Chart in Data Stream Anomaly Detection. Symmetry 10(4): 113 (2018) - [j15]Guang Li, Jie Wang, Jing Liang, Caitong Yue:
The Application of a Double CUSUM Algorithm in Industrial Data Stream Anomaly Detection. Symmetry 10(7): 264 (2018) - [j14]Caitong Yue, Boyang Qu, Jane-Jing Liang:
A Multiobjective Particle Swarm Optimizer Using Ring Topology for Solving Multimodal Multiobjective Problems. IEEE Trans. Evol. Comput. 22(5): 805-817 (2018) - [c53]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 - [c52]Jing Liang, X. P. Zhu, Caitong Yue, Zhihui Li, Bo-Yang Qu:
Performance Analysis on Knee Point Selection Methods for Multi-Objective Sparse Optimization Problems. CEC 2018: 1-8 - [c51]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
- [c50]Mingyuan Yu, Jing Liang, Boyang Qu, Caitong Yue:
Optimization of UWB Antenna Based on Particle Swarm Optimization Algorithm. ISICA (2) 2017: 86-97 - [c49]Caitong Yue, Jing Liang, Boyang Qu, Hui Song, Guang Li, Yuhong Han:
A Knee Point Driven Particle Swarm Optimization Algorithm for Sparse Reconstruction. SEAL 2017: 911-919 - [c48]Baolei Li, Jing Liang, Caitong Yue, Boyang Qu:
Multivariant Optimization Algorithm with Bimodal-Gauss. SEAL 2017: 920-928 - 2016
- [j13]Xianghua Chu, Ben Niu, Jing J. Liang, Qiang Lu:
An orthogonal-design hybrid particle swarm optimiser with application to capacitated facility location problem. Int. J. Bio Inspired Comput. 8(5): 268-285 (2016) - [j12]Bo-Yang Qu, B. F. Lang, Jing J. Liang, A. Kai Qin, Oscar D. Crisalle:
Two-hidden-layer extreme learning machine for regression and classification. Neurocomputing 175: 826-834 (2016) - [j11]Bo-Yang Qu, Jing J. Liang, Yongsheng Zhu, Z. Y. Wang, Ponnuthurai N. Suganthan:
Economic emission dispatch problems with stochastic wind power using summation based multi-objective evolutionary algorithm. Inf. Sci. 351: 48-66 (2016) - [j10]Bo-Yang Qu, Jing J. Liang, Z. Y. Wang, Qin Chen, Ponnuthurai N. Suganthan:
Novel benchmark functions for continuous multimodal optimization with comparative results. Swarm Evol. Comput. 26: 23-34 (2016) - [c47]Jing J. Liang, Caitong Yue, Bo-Yang Qu:
Multimodal multi-objective optimization: A preliminary study. CEC 2016: 2454-2461 - [c46]Yuechao Jiao, Lei Yang, Boyang Qu, Dingming Liu, Jing J. Liang, Junming Xiao:
Novel Local Particle Swarm Optimizer for Multi-modal Optimization. ICSI (1) 2016: 571-578 - 2015
- [c45]Jing J. Liang, L. Guo, R. Liu, Bo-Yang Qu:
A self-adaptive dynamic particle swarm optimizer. CEC 2015: 3206-3213 - [c44]Bo-Yang Qu, Jing J. Liang, Z. Y. Wang, D. M. Liu:
Solving CEC 2015 multi-modal competition problems using neighborhood based speciation Differential Evolution. CEC 2015: 3214-3219 - [c43]Li-Li Wu, Jing J. Liang, Tie-Jun Chen, Yao-Qiang Wang, Oscar D. Crisalle:
DMS-PSO Based Tuning of PI Controllers for Frequency Control of a Hybrid Energy System. ICSI (2) 2015: 208-215 - 2014
- [j9]Jing J. Liang, Bo-Yang Qu, Xiaobo Mao, Ben Niu, Dongyun Wang:
Differential evolution based on fitness Euclidean-distance ratio for multimodal optimization. Neurocomputing 137: 252-260 (2014) - [c42]Zhihui Li, Zhigang Shang, Bo-Yang Qu, Jing J. Liang:
Feature Selection based on manifold-learning with dynamic constraint handling differential evolution. IEEE Congress on Evolutionary Computation 2014: 332-337 - [c41]Jing J. Liang, B. Zheng, F. Y. Xu, Bo-Yang Qu, Hui Song:
Multi-objective differential evolution algorithm based on fast sorting and a novel constraints handling technique. IEEE Congress on Evolutionary Computation 2014: 445-450 - [c40]Zhihui Li, Zhigang Shang, Boyang Qu, Jane-Jing Liang:
Differential Evolution strategy based on the constraint of fitness values classification. IEEE Congress on Evolutionary Computation 2014: 1454-1460 - [c39]Boyang Qu, Jing J. Liang, J. M. Xiao, Zhigang Shang:
Memetic differential evolution based on fitness Euclidean-distance ratio. IEEE Congress on Evolutionary Computation 2014: 2266-2273 - [c38]