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ORCIDWei Fang 0001
Person information
- affiliation: Jiangnan University, Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Wuxi, China
- affiliation (former): Southern Yangtze University, School of Information Technology, Center of Intelligent and High Performance Computing, Wuxi, China
Other persons with the same name
- Wei Fang — disambiguation page
- Wei Fang 0002
![[0000-0002-6511-3570]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-6511-3570")
— Zhejiang University, College of Optical Science and Engineering, Hangzhou, China (and 2 more) - Wei Fang 0003 — Northwestern Polytechnical University, School of Management, Xi'an, China
- Wei Fang 0004 — University of Southampton, UK
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2020 – today
- 2025
[j52]Hengyang Lu, Tian-ci Liu, Rui Cong, Jun Yang, Qiang Gan, Wei Fang, Xiaojun Wu:
QAIE: LLM-based Quantity Augmentation and Information Enhancement for few-shot Aspect-Based Sentiment Analysis. Inf. Process. Manag. 62(1): 103917 (2025)- 2024
- [j51]Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, Xiaojun Wu, Abdulmotaleb El-Saddik:
Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 543-560 (2024) - [j50]Xiaotong Li, Wei Fang, Shuwei Zhu, Xin Zhang:
An adaptive binary quantum-behaved particle swarm optimization algorithm for the multidimensional knapsack problem. Swarm Evol. Comput. 86: 101494 (2024) - [j49]Xin Zhang, Shaopeng Sun, Jian Yao, Wei Fang, Pengjiang Qian:
Multi-population genetic algorithm with crowding-based local search for fuzzy multi-objective supply chain configuration. Swarm Evol. Comput. 91: 101698 (2024) - [j48]Wei Fang, Haipeng Jiang, Hengyang Lu, Jun Sun, Xiaojun Wu, Jerry Chun-Wei Lin:
GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets. IEEE Trans. Knowl. Data Eng. 36(2): 652-667 (2024) - [c46]Chenyu Qiu, Pengjiang Qian, Chuang Wang, Jian Yao, Li Liu, Wei Fang, Eddie Eddie:
Joint Pre-Encoding Representation and Structure Embedding for Efficient and Low-Resource Knowledge Graph Completion. EMNLP 2024: 15257-15269 - [c45]Erjie Tian, Xin Zhang, Pengjiang Qian, Wei Fang, Jian Yao:
Variable Contribution-Based Differential Evolution for Large-Scale Global Optimization. GECCO Companion 2024: 479-482 - [c44]Siyuan Chen, Wei Fang, Shuwei Zhu:
TextNet: An Neural Architecture Search Method based on Rapid Text Processing Network Structure Analysis. GECCO Companion 2024: 2087-2090 - [c43]Kefei Yan, Wei Fang, Hengyang Lu, Xin Zhang, Jun Sun, Xiaojun Wu:
Mutual Information-Guided GA for Bayesian Network Structure Learning (Extended Abstract). ICDE 2024: 5705-5706 - [c42]Wei Fang, Haipeng Jiang, Hengyang Lu, Jun Sun, Xiaojun Wu, Jerry Chun-Wei Lin:
GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets (Extended Abstract). ICDE 2024: 5733-5734 - [c41]Qiao Chen, Wei Fang:
High Average-Utility Pattern Mining Based on Genetic Algorithm with a Novel Pruning Strategy. ICIC (1) 2024: 3-13 - [i4]Shuwei Zhu, Siying Lv, Kaifeng Chen, Wei Fang, Leilei Cao:
Research progress on intelligent optimization techniques for energy-efficient design of ship hull forms. CoRR abs/2403.05832 (2024) - 2023
- [j47]Zaihe Cheng, Wei Fang, Wei Shen, Jerry Chun-Wei Lin, Bo Yuan:
An efficient utility-list based high-utility itemset mining algorithm. Appl. Intell. 53(6): 6992-7006 (2023) - [j46]Wei Fang, Chongyang Li, Qiang Zhang, Xin Zhang, Jerry Chun-Wei Lin:
An efficient biobjective evolutionary algorithm for mining frequent and high utility itemsets. Appl. Soft Comput. 140: 110233 (2023) - [j45]Wei Fang, Zhenhao Zhu, Shuwei Zhu, Jun Sun, Xiaojun Wu, Zhichao Lu:
LoNAS: Low-Cost Neural Architecture Search Using a Three-Stage Evolutionary Algorithm [Research Frontier]. IEEE Comput. Intell. Mag. 18(2): 78-93 (2023) - [j44]Zaihe Cheng, Wei Shen, Wei Fang, Jerry Chun-Wei Lin:
A Parallel High-Utility Itemset Mining Algorithm Based on Hadoop. Complex Syst. Model. Simul. 3(1): 47-58 (2023) - [j43]Wei Fang, Runsu Zhu, Jerry Chun-Wei Lin:
An air quality prediction model based on improved Vanilla LSTM with multichannel input and multiroute output. Expert Syst. Appl. 211: 118422 (2023) - [j42]Xiaotong Li, Wei Fang, Shuwei Zhu:
An improved binary quantum-behaved particle swarm optimization algorithm for knapsack problems. Inf. Sci. 648: 119529 (2023) - [j41]Wei Fang, Zhenhao Zhu, Zhou Hong, Tao Zhang, Jun Sun, Xiaojun Wu:
Efficient automatically evolving convolutional neural network for image denoising. Memetic Comput. 15(2): 219-235 (2023) - [j40]Wei Fang, Weijian Zhang, Li Ma, Yunlin Wu, Kefei Yan, Hengyang Lu, Jun Sun, Xiaojun Wu, Bo Yuan:
An efficient Bayesian network structure learning algorithm based on structural information. Swarm Evol. Comput. 76: 101224 (2023) - [j39]Yue Jia, Wei Fang, Heng-Yang Lu:
Think More Ambiguity Less: A Novel Dual Interactive Model with Local and Global Semantics for Chinese Named Entity Recognition. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(6): 158:1-158:21 (2023) - [j38]Kefei Yan, Wei Fang, Hengyang Lu, Xin Zhang, Jun Sun, Xiaojun Wu:
Mutual Information-Guided GA for Bayesian Network Structure Learning. IEEE Trans. Knowl. Data Eng. 35(8): 8282-8299 (2023) - [j37]Xin Zhang, Bo-Wen Ding, Xin-Xin Xu, Jian-Yu Li, Zhi-Hui Zhan, Pengjiang Qian, Wei Fang, Kuei-Kuei Lai, Jun Zhang:
Graph-Based Deep Decomposition for Overlapping Large-Scale Optimization Problems. IEEE Trans. Syst. Man Cybern. Syst. 53(4): 2374-2386 (2023) - [c40]Wei Fang, Fanzhang Li, Shitong Wang:
Conference Chair Message. ICIS 2023: ix - [c39]Tianyi Zhou, Wei Fang:
Two-point Crossover Operator in Genetic Algorithm for Deep Learning Compiler. GECCO Companion 2023: 347-350 - [c38]Wei Fang, Qiang Zhang, Jun Sun, Xiaojun Wu:
Mining High Quality Patterns Using Multi-Objective Evolutionary Algorithm (Extended Abstract). ICDE 2023: 3867-3868 - [i3]Liwei Li, Jun Sun, Chao Li, Wei Fang, Vasile Palade, Xiao-Jun Wu:
Analyzing and controlling diversity in quantum-behaved particle swarm optimization. CoRR abs/2308.04840 (2023) - 2022
- [j36]Wei Fang, Qiang Zhang, Hengyang Lu, Jerry Chun-Wei Lin:
High-utility itemsets mining based on binary particle swarm optimization with multiple adjustment strategies. Appl. Soft Comput. 124: 109073 (2022) - [j35]Wei Fang, Haolin Zhu, Yi Mei:
Hybrid meta-heuristics for the unrelated parallel machine scheduling problem with setup times. Knowl. Based Syst. 241: 108193 (2022) - [j34]Wei Fang, Chao Xi:
Land-Cover Change Detection for SAR Images Based on Biobjective Fuzzy Local Information Clustering Method With Decomposition. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j33]Hengyang Lu, Jun Yang, Wei Fang, Xiaoning Song, Chongjun Wang:
A deep neural networks-based fusion model for COVID-19 rumor detection from online social media. Data Technol. Appl. 56(5): 806-824 (2022) - [j32]Xin Zhang, Zhi-Hui Zhan, Wei Fang, Pengjiang Qian, Jun Zhang:
Multipopulation Ant Colony System With Knowledge-Based Local Searches for Multiobjective Supply Chain Configuration. IEEE Trans. Evol. Comput. 26(3): 512-526 (2022) - [j31]Wei Fang, Qiang Zhang, Jun Sun, Xiaojun Wu:
Mining High Quality Patterns Using Multi-Objective Evolutionary Algorithm. IEEE Trans. Knowl. Data Eng. 34(8): 3883-3898 (2022) - [c37]Heng-Yang Lu, Chenyou Fan, Jun Yang, Cong Hu, Wei Fang, Xiao-Jun Wu:
Where to Attack: A Dynamic Locator Model for Backdoor Attack in Text Classifications. COLING 2022: 984-993 - [c36]Wei Nie, Hengyang Lu, Wei Fang:
Pay Attention to the "Tails": A Novel Aspect-Fusion Model for Long-Tailed Aspect Category Detection. PRICAI (2) 2022: 321-334 - [i2]Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, Xiaojun Wu, Yi Yang:
Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning. CoRR abs/2211.02895 (2022) - 2021
- [j30]Wei Fang, Ruigao Min, Quan Wang:
Large-scale global optimisation using cooperative co-evolution with self-adaptive differential grouping. Int. J. Autom. Control. 15(1): 58-77 (2021) - [j29]Hengyang Lu, Chenyou Fan, Xiaoning Song, Wei Fang:
A novel few-shot learning based multi-modality fusion model for COVID-19 rumor detection from online social media. PeerJ Comput. Sci. 7: e688 (2021) - [j28]Hengyang Lu, Jun Yang, Cong Hu, Wei Fang:
One for "All": a unified model for fine-grained sentiment analysis under three tasks. PeerJ Comput. Sci. 7: e816 (2021) - [j27]Lin Li, Wei Fang, Yi Mei, Quan Wang:
Cooperative coevolution for large-scale global optimization based on fuzzy decomposition. Soft Comput. 25(5): 3593-3608 (2021) - [j26]Zeyu Dai, Wei Fang, Ke Tang, Qing Li:
An optima-identified framework with brain storm optimization for multimodal optimization problems. Swarm Evol. Comput. 62: 100827 (2021) - [c35]Junchao Fang, Wei Fang:
A Many-Objective Evolutionary Algorithm Based on New Angle Penalized Distance. CEC 2021: 1896-1903 - [c34]Liang Zhao, Wei Fang:
An Efficient and Flexible Automatic Search Algorithm for Convolution Network Architectures. CEC 2021: 2203-2210 - [c33]Wei Shen, Chao Zhang, Wei Fang, Xin Zhang, Zhi-Hui Zhan, Jerry Chun-Wei Lin:
Efficient High-utility Itemset Mining Based on a Novel Data Structure. ISC2 2021: 1-6 - 2020
- [j25]Wei Fang, Lin Wang, Peiming Ren:
Tinier-YOLO: A Real-Time Object Detection Method for Constrained Environments. IEEE Access 8: 1935-1944 (2020) - [j24]Peiming Ren, Lin Wang, Wei Fang, Shulin Song, Soufiene Djahel:
A novel squeeze YOLO-based real-time people counting approach. Int. J. Bio Inspired Comput. 16(2): 94-101 (2020) - [c32]Weijian Zhang, Wei Fang, Jun Sun, Qidong Chen:
Learning Bayesian Networks Structures with an Effective Knowledge-driven GA. CEC 2020: 1-8 - [c31]Zhou Hong, Wei Fang, Jun Sun, Xiaojun Wu:
A fast GA for automatically evolving CNN architectures. GECCO Companion 2020: 213-214
2010 – 2019
- 2019
- [j23]Qiang Zhang, Wei Fang, Jun Sun, Quan Wang:
Improved Genetic Algorithm for High-Utility Itemset Mining. IEEE Access 7: 176799-176813 (2019) - [j22]Jun Sun, Qidong Chen, Jianan Sun, Tao Zhang, Wei Fang, Xiaojun Wu:
Graph-structured multitask sparsity model for visual tracking. Inf. Sci. 486: 133-147 (2019) - [j21]Wei Fang, Lingzhi Zhang, Shengxiang Yang, Jun Sun, Xiaojun Wu:
A Multiobjective Evolutionary Algorithm Based on Coordinate Transformation. IEEE Trans. Cybern. 49(7): 2732-2743 (2019) - [j20]Jun Sun, Chao Li, Xiao-Jun Wu, Vasile Palade, Wei Fang:
An Effective Method of Weld Defect Detection and Classification Based on Machine Vision. IEEE Trans. Ind. Informatics 15(12): 6322-6333 (2019) - [c30]Ze-yu Dai, Wei Fang, Qing Li, Wei-neng Chen:
Modified Self-adaptive Brain Storm Optimization Algorithm for Multimodal Optimization. BIC-TA (1) 2019: 384-397 - [c29]Lin Li, Wei Fang, Quan Wang, Jun Sun:
Differential Grouping with Spectral Clustering for Large Scale Global Optimization. CEC 2019: 334-341 - [c28]Chao Li, Jun Sun, Vasile Palade, Qidong Chen, Wei Fang:
Collaborative diversity control strategy for random drift particle swarm optimization. GECCO (Companion) 2019: 99-100 - [c27]Xiaoyan Shi, Wei Fang, Guizhu Zhang, Shi Cheng, Quan Wang:
Research of Multi-objective Personalized Recommendation Algorithm Based on Multi-thread Concurrency. ICSI (2) 2019: 79-91 - 2018
- [j19]Wei Fang, Xinhong Song, Xiaojun Wu, Jun Sun, Mengqi Hu:
Novel efficient deployment schemes for sensor coverage in mobile wireless sensor networks. Inf. Fusion 41: 25-36 (2018) - [c26]Wangtong Ding, Wei Fang:
Target Tracking by Sequential Random Draft Particle Swarm Optimization Algorithm. ISC2 2018: 1-7 - [c25]Xiaoyan Shi, Wei Fang, Guizhu Zhang:
A Personalized Recommendation Algorithm Based on MOEA-ProbS. ICSI (1) 2018: 572-579 - [c24]Shuai Wu, Zhitao Zou, Wei Fang:
A Dynamic Global Differential Grouping for Large-Scale Black-Box Optimization. ICSI (1) 2018: 593-603 - 2017
- [c23]Wei Fang, Lingzhi Zhang, Jianhong Zhou, Xiaojun Wu, Jun Sun:
A novel quantum-behaved particle swarm optimization with random selection for large scale optimization. CEC 2017: 2746-2751 - [c22]Yazhen Zhang, Wei Fang:
Large Scale WSN Deployment Based on an Improved Cooperative Co-evolution PSO with Global Differential Grouping. SEAL 2017: 833-842 - [c21]Yi-Nan Guo, Pei Zhang, Jian Cheng, Yong Zhang, Lingkai Yang, Xiaoning Shen, Wei Fang:
An Improved Weighted ELM with Krill Herd Algorithm for Imbalanced Learning. ICSI (2) 2017: 371-378 - 2016
- [j18]Wei Fang, Jun Sun, Huanhuan Chen, Xiaojun Wu:
A decentralized quantum-inspired particle swarm optimization algorithm with cellular structured population. Inf. Sci. 330: 19-48 (2016) - [c20]Junyi Hu, Wei Fang, Wangtong Ding:
Visual Tracking by Sequential Cellular Quantum-Behaved Particle Swarm Optimization Algorithm. BIC-TA (2) 2016: 86-94 - [c19]Jianhong Zhou, Wei Fang, Xiaojun Wu, Jun Sun, Shi Cheng:
An opposition-based learning competitive particle swarm optimizer. CEC 2016: 515-521 - [c18]Wei Fang, Xiaobin Liu:
Content-Based Image Retrieval Based on Quantum-Behaved Particle Swarm Optimization Algorithm. ICSI (1) 2016: 392-400 - 2015
- [j17]Wei Fang, Xiaodong Li, Mengjie Zhang, Mengqi Hu:
Nature-Inspired Algorithms for Real-World Optimization Problems. J. Appl. Math. 2015: 359203:1-359203:2 (2015) - [j16]Chaofeng Li, Feng Pan, Xiaojun Wu, Yiwen Ju, Yunhao Yuan, Wei Fang:
Video quality assessment using content-weighted spatial and temporal pooling method. J. Electronic Imaging 24(5): 053001 (2015) - [j15]Jun Sun, Xiaojun Wu, Vasile Palade, Wei Fang, Yuhui Shi:
Random drift particle swarm optimization algorithm: convergence analysis and parameter selection. Mach. Learn. 101(1-3): 345-376 (2015) - [j14]Wei Fang, Jun Sun, Xiaojun Wu, Vasile Palade:
Adaptive Web QoS controller based on online system identification using quantum-behaved particle swarm optimization. Soft Comput. 19(6): 1715-1725 (2015) - [j13]Wei Fang, Shengxiang Yang, Xin Yao:
A Survey on Problem Models and Solution Approaches to Rescheduling in Railway Networks. IEEE Trans. Intell. Transp. Syst. 16(6): 2997-3016 (2015) - [c17]Mengmei Wang, Wei Fang, Chaofeng Li:
Clustering Quantum-Behaved Particle Swarm Optimization Algorithm for Solving Dynamic Optimization Problems. BIC-TA 2015: 411-421 - [c16]Chaofeng Li, Yu Zhang, Xiaojun Wu, Wei Fang, Li Mao:
Blind multiply distorted image quality assessment using relevant perceptual features. ICIP 2015: 4883-4886 - 2014
- [j12]Jun Sun, Vasile Palade, Yujie Cai, Wei Fang, Xiaojun Wu:
Biochemical systems identification by a random drift particle swarm optimization approach. BMC Bioinform. 15(S-6): S1 (2014) - [j11]Jun Sun, Vasile Palade, Xiaojun Wu, Wei Fang:
Multiple Sequence Alignment with HiddenMarkov Models Learned by Random DriftParticle Swarm Optimization. IEEE ACM Trans. Comput. Biol. Bioinform. 11(1): 243-257 (2014) - [j10]Jun Sun, Vasile Palade, Xiaojun Wu, Wei Fang, Zhenyu Wang:
Solving the Power Economic Dispatch Problem With Generator Constraints by Random Drift Particle Swarm Optimization. IEEE Trans. Ind. Informatics 10(1): 222-232 (2014) - [c15]Ronghua Shang, Kun Zhang, Licheng Jiao, Wei Fang, Xiangrong Zhang, Xiaolin Tian:
A novel algorithm for many-objective dimension reductions: Pareto-PCA-NSGA-II. IEEE Congress on Evolutionary Computation 2014: 1974-1981 - 2013
- [c14]Wei Fang, Jun Sun, Xiaojun Wu, Xin Yao:
Re-scheduling in railway networks. UKCI 2013: 342-352 - [i1]Jun Sun, Xiaojun Wu, Vasile Palade, Wei Fang, Yuhui Shi:
Random Drift Particle Swarm Optimization. CoRR abs/1306.2863 (2013) - 2012
- [j9]Jun Sun, Wei Chen, Wei Fang, Xiaojun Wu, Wenbo Xu:
Gene expression data analysis with the clustering method based on an improved quantum-behaved Particle Swarm Optimization. Eng. Appl. Artif. Intell. 25(2): 376-391 (2012) - [j8]Jun Sun, Wei Fang, Xiaojun Wu, Vasile Palade, Wenbo Xu:
Quantum-Behaved Particle Swarm Optimization: Analysis of Individual Particle Behavior and Parameter Selection. Evol. Comput. 20(3): 349-393 (2012) - [j7]Jun Sun, Xiaojun Wu, Wei Fang, Yanrui Ding, Haixia Long, Wenbo Xu:
Multiple sequence alignment using the Hidden Markov Model trained by an improved quantum-behaved particle swarm optimization. Inf. Sci. 182(1): 93-114 (2012) - [j6]Jun Sun, Xiaojun Wu, Vasile Palade, Wei Fang, Choi-Hong Lai, Wenbo Xu:
Convergence analysis and improvements of quantum-behaved particle swarm optimization. Inf. Sci. 193: 81-103 (2012) - [c13]Wei Fang, Jun Sun, Xiaojun Wu, Wenbo Xu, Vasile Palade:
Study on the compression-expansion coefficient in drift particle swarm optimization. IEEE Congress on Evolutionary Computation 2012: 1-6 - [c12]Xiufang Lin, Jun Sun, Vasile Palade, Wei Fang, Xiaojun Wu, Wenbo Xu:
Training ANFIS Parameters with a Quantum-behaved Particle Swarm Optimization Algorithm. ICSI (1) 2012: 148-155 - 2011
- [j5]Jun Sun, Wei Fang, Vasile Palade, Xiaojun Wu, Wenbo Xu:
Quantum-behaved particle swarm optimization with Gaussian distributed local attractor point. Appl. Math. Comput. 218(7): 3763-3775 (2011) - [j4]Jun Sun, Wei Fang, Xiaojun Wu, Zhenping Xie, Wenbo Xu:
QoS multicast routing using a quantum-behaved particle swarm optimization algorithm. Eng. Appl. Artif. Intell. 24(1): 123-131 (2011) - [j3]Jun Sun, Wei Fang, Xiaojun Wu, Choi-Hong Lai, Wenbo Xu:
Solving the multi-stage portfolio optimization problem with a novel particle swarm optimization. Expert Syst. Appl. 38(6): 6727-6735 (2011) - 2010
- [j2]Jun Sun, Wei Fang, Wenbo Xu:
A Quantum-Behaved Particle Swarm Optimization With Diversity-Guided Mutation for the Design of Two-Dimensional IIR Digital Filters. IEEE Trans. Circuits Syst. II Express Briefs 57-II(2): 141-145 (2010)
2000 – 2009
- 2009
- [j1]Wei Fang, Jun Sun, Wenbo Xu:
A New Mutated Quantum-Behaved Particle Swarm Optimizer for Digital IIR Filter Design. EURASIP J. Adv. Signal Process. 2009 (2009) - 2008
- [c11]Jun Sun, Wei Fang, Wei Chen, Wenbo Xu:
Design of two-dimensional IIR digital filters using an improved quantum-behaved particle swarm optimization algorithm. ACC 2008: 2603-2608 - [c10]Wei Chen, Jun Sun, Yanrui Ding, Wei Fang, Wenbo Xu:
Clustering of Gene Expression Data with Quantum-Behaved Particle Swarm Optimization. IEA/AIE 2008: 388-396 - 2007
- [c9]Jun Sun, Wenbo Xu, Wei Fang, ZhiLei Chai:
Quantum-Behaved Particle Swarm Optimization with Binary Encoding. ICANNGA (1) 2007: 376-385 - 2006
- [c8]Jun Sun, Wenbo Xu, Wei Fang:
Quantum-Behaved Particle Swarm Optimization Algorithm with Controlled Diversity. International Conference on Computational Science (3) 2006: 847-854 - [c7]Jun Sun, Wenbo Xu, Wei Fang:
Solving Multi-period Financial Planning Problem Via Quantum-Behaved Particle Swarm Algorithm. ICIC (2) 2006: 1158-1169 - [c6]Wei Fang, Jun Sun, Wenbo Xu, Jing Liu:
FIR Digital Filters Design Based on Quantum-behaved Particle Swarm Optimization. ICICIC (1) 2006: 615-619 - [c5]Wei Fang, Jun Sun, Wenbo Xu:
Design IIR Digital Filters Using Quantum-Behaved Particle Swarm Optimization. ICNC (2) 2006: 637-640 - [c4]Wei Fang, Jun Sun, Wenbo Xu:
Design of Two-Dimensional Recursive Filters by Using Quantum-Behaved Particle Swarm Optimization. IIH-MSP 2006: 240-243 - [c3]Jun Sun, Wenbo Xu, Wei Fang:
Quantum-Behaved Particle Swarm Optimization with a Hybrid Probability Distribution. PRICAI 2006: 737-746 - [c2]Jun Sun, Wenbo Xu, Wei Fang:
Enhancing Global Search Ability of Quantum-Behaved Particle Swarm Optimization by Maintaining Diversity of the Swarm. RSCTC 2006: 736-745 - [c1]Jun Sun, Wenbo Xu, Wei Fang:
A Diversity-Guided Quantum-Behaved Particle Swarm Optimization Algorithm. SEAL 2006: 497-504
Coauthor Index
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