Jun Sun

144 papers A* 3B 11C 6Misc 4Journal 88Unranked 32
YearRankTypeTitle / Venue / Authors
2026 J jnl
A swarm intelligence optimization algorithm on riemannian manifolds.
Swarm Evol. Comput.
Min Shan, Yeerjiang Halimu, Jun Sun, Wei Fang, Vasile Palade
2026 J jnl
Flexible competitive weighted nonnegative representation method for classification.
Expert Syst. Appl.
Ziqi Li, Hongcheng Song, Tingting Guo, Zhilin Chen, Yonghong Zhang, Jun Sun
2026 J jnl
Hausdorff-weighted contrastive fusion for multi-view clustering.
Knowl. Based Syst.
Ziqi Li, Junjie Liao, Yonghong Zhang, Jun Sun, Tianyang Xu
2026 J jnl
M2PP: Effective Path Planning Based on Multi-Phase Particle Swarm Optimization and Multi-Scenario Adaptative DWA.
IEEE Trans Autom. Sci. Eng.
Chao Li, Hao Chen, Jun Sun, Wei Fang, Vasile Palade, Xiaojun Wu
2026 J jnl
RDPSO-based multi-robot cooperation method for target search in unknown environments.
Expert Syst. Appl.
Si Wang, Jun Sun, Wei Fang, Vasile Palade
2025 J jnl
Affine locality-sensitive nonnegative representation based image classification.
Pattern Anal. Appl.
Ziqi Li, Hongcheng Song, Tingting Guo, Hefeng Yin, Yonghong Zhang, Linglong Zhu, Jun Sun
2025 J jnl
DRHGNN: a dynamic residual hypergraph neural network for aspect sentiment triplet extraction.
Appl. Intell.
Peng Guo, Zihao Yu, Chao Li, Jun Sun
2025 J jnl
Diversity-based adaptive differential evolution algorithm for multimodal optimization problems.
Swarm Evol. Comput.
Chao Li, Yuhan Zhai, Vasile Palade, Wei Fang, Hengyang Lu, Li Mao, Jun Sun
2025 J jnl
Dynamic multi-knowledge evolutionary algorithm for sparse large-scale multi-objective optimization.
Knowl. Based Syst.
Lidan Bai, Jun Sun, Chao Li, Hengyang Lu, Vasile Palade
2025 J jnl
Multi-region hierarchical surrogate-assisted quantum-behaved particle swarm optimization for expensive optimization problems.
Expert Syst. Appl.
Chao Li, Quanshu Zhang, Vasile Palade, Hengyang Lu, Jun Sun
2025 J jnl
Optimizing Metabolite Production with Neighborhood-Based Binary Quantum-Behaved Particle Swarm Optimization and Flux Balance Analysis.
J. Comput. Biol.
Lidan Bai, Jun Sun, Vasile Palade, Chao Li, Hengyang Lu, Cong Gao
2025 J jnl
Pattern classification based on competitive and non-negative representation.
Complex Intell. Syst.
Zi-Qi Li, Danyang Li, Zhilin Chen, Yong-Hong Zhang, Jun Sun, He-Feng Yin, Hongcheng Song
2025 J jnl
Similarity-based prototype reconstruction and feature reorganization for non-exemplar class incremental learning.
Neural Networks
Chao Zhou, Jun Sun, Vasile Palade, Xiaojun Wu
2025 J jnl
VBM-YOLO: an enhanced YOLO model with reduced information loss for vehicle body markers detection.
PeerJ Comput. Sci.
Bin Wang, Chao Li, Chao Zhou, Jun Sun
2024 J jnl
A Word-Level Adversarial Attack Method Based on Sememes and an Improved Quantum-Behaved Particle Swarm Optimization.
IEEE Trans. Neural Networks Learn. Syst.
Qidong Chen, Jun Sun, Vasile Palade
2024 J jnl
Foreground separation knowledge distillation for object detection.
PeerJ Comput. Sci.
Chao Li, Rugui Liu, Zhe Quan, Pengpeng Hu, Jun Sun
2024 A* conf
GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets (Extended Abstract).
ICDE
Wei Fang, Haipeng Jiang, Hengyang Lu, Jun Sun, Xiaojun Wu, Jerry Chun-Wei Lin
2024 J jnl
GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets.
IEEE Trans. Knowl. Data Eng.
Wei Fang, Haipeng Jiang, Hengyang Lu, Jun Sun, Xiaojun Wu, Jerry Chun-Wei Lin
2024 A* conf
Mutual Information-Guided GA for Bayesian Network Structure Learning (Extended Abstract).
ICDE
Kefei Yan, Wei Fang, Hengyang Lu, Xin Zhang, Jun Sun, Xiaojun Wu
2024 J jnl
Remote sensing image classification method based on improved ShuffleNet convolutional neural network.
Intell. Data Anal.
Ziqi Li, Yuxuan Su, Yonghong Zhang, Hefeng Yin, Jun Sun, Xiaojun Wu
2024 J jnl
Robust Image Classification With Noisy Labels by Negative Learning and Feature Space Renormalization.
IEEE Trans. Multim.
Hao Wu, Jun Sun
2024 J jnl
Weakly-supervised auto-encoder via energy regularization and soft multi-label learning on k labeled samples.
Neurocomputing
Huiling Wang, Jun Sun, Xiaofeng Gu, Zunhao Hu, Chao Zhou
2023 J jnl
A hybrid quantum-behaved particle swarm optimization solution to non-convex economic load dispatch with multiple fuel types and valve-point effects.
Intell. Data Anal.
Qidong Chen, Jun Sun, Vasile Palade
2023 J jnl
An efficient Bayesian network structure learning algorithm based on structural information.
Swarm Evol. Comput.
Wei Fang, Weijian Zhang, Li Ma, Yunlin Wu, Kefei Yan, Hengyang Lu, Jun Sun, Xiaojun Wu, Bo Yuan
2023 J jnl
Analyzing and controlling diversity in quantum-behaved particle swarm optimization.
CoRR
Liwei Li, Jun Sun, Chao Li, Wei Fang, Vasile Palade, Xiao-Jun Wu
2023 J jnl
Continual relation extraction via linear mode connectivity and interval cross training.
Knowl. Based Syst.
Qidong Chen, Jun Sun, Vasile Palade, Zihao Yu
2023 J jnl
Efficient automatically evolving convolutional neural network for image denoising.
Memetic Comput.
Wei Fang, Zhenhao Zhu, Zhou Hong, Tao Zhang, Jun Sun, Xiaojun Wu
2023 J jnl
Feature Space Renormalization for Semi-supervised Learning.
CoRR
Jun Sun, Zhongjie Mao, Chao Li, Chao Zhou, Xiao-Jun Wu
2023 J jnl
LoNAS: Low-Cost Neural Architecture Search Using a Three-Stage Evolutionary Algorithm [Research Frontier].
IEEE Comput. Intell. Mag.
Wei Fang, Zhenhao Zhu, Shuwei Zhu, Jun Sun, Xiaojun Wu, Zhichao Lu
2023 A* conf
Mining High Quality Patterns Using Multi-Objective Evolutionary Algorithm (Extended Abstract).
ICDE
Wei Fang, Qiang Zhang, Jun Sun, Xiaojun Wu
2023 J jnl
Mutual Information-Guided GA for Bayesian Network Structure Learning.
IEEE Trans. Knowl. Data Eng.
Kefei Yan, Wei Fang, Hengyang Lu, Xin Zhang, Jun Sun, Xiaojun Wu
2023 J jnl
Quantum-behaved particle swarm optimization with dynamic grouping searching strategy.
Intell. Data Anal.
Qi You, Jun Sun, Vasile Palade, Feng Pan
2023 J jnl
Weakly-supervised object localization with gradient-pyramid feature.
Appl. Intell.
Zhongjie Mao, Yipeng Zhou, Jun Sun, Hao Wu, Feng Pan, Bilal Ahmad
2022 J jnl
A novel multi-scale and sparsity auto-encoder for classification.
Int. J. Mach. Learn. Cybern.
Huiling Wang, Jun Sun, Xiaofeng Gu, Wei Song
2022 J jnl
Adaptive low-rank kernel block diagonal representation subspace clustering.
Appl. Intell.
Maoshan Liu, Yan Wang, Jun Sun, Zhicheng Ji
2022 J jnl
An Effective Swarm Intelligence Optimization Algorithm for Flexible Ligand Docking.
IEEE ACM Trans. Comput. Biol. Bioinform.
Chao Li, Jun Sun, Li-Wei Li, Xiaojun Wu, Vasile Palade
2022 J jnl
Mining High Quality Patterns Using Multi-Objective Evolutionary Algorithm.
IEEE Trans. Knowl. Data Eng.
Wei Fang, Qiang Zhang, Jun Sun, Xiaojun Wu
2022 J jnl
Parallel multi-swarm cooperative particle swarm optimization for protein-ligand docking and virtual screening.
BMC Bioinform.
Chao Li, Jinxing Li, Jun Sun, Li Mao, Vasile Palade, Bilal Ahmad
2022 J jnl
Patch-Aware Deep Hyperspectral and Multispectral Image Fusion by Unfolding Subspace-Based Optimization Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Jianjun Liu, Dunbin Shen, Zebin Wu, Liang Xiao, Jun Sun, Hong Yan
2022 J jnl
RDPSOVina: the random drift particle swarm optimization for protein-ligand docking.
J. Comput. Aided Mol. Des.
Jinxing Li, Chao Li, Jun Sun, Vasile Palade
2022 J jnl
SSRFD: single shot real-time face detector.
Appl. Intell.
Hao Wu, Dongliang Ma, Zhongjie Mao, Jun Sun
2021 J jnl
A Novel Architecture with Separate Comparison and Interaction Modules for Chinese Semantic Sentence Matching.
Neural Process. Lett.
Qidong Chen, Jun Sun, Yuan Zhao
2021 J jnl
A hybrid framework for brain tissue segmentation in magnetic resonance images.
Int. J. Imaging Syst. Technol.
Chao Li, Jun Sun, Li Liu, Vasile Palade
2021 J jnl
Diversity collaboratively guided random drift particle swarm optimization.
Int. J. Mach. Learn. Cybern.
Chao Li, Jun Sun, Vasile Palade, Li-Wei Li
2021 J jnl
MSLDOCK: Multi-Swarm Optimization for Flexible Ligand Docking and Virtual Screening.
J. Chem. Inf. Model.
Chao Li, Jun Sun, Vasile Palade
2021 J jnl
Whether the Health Care Practices For the Patients With Comorbidities Have Changed After the Outbreak of COVID-19; Big Data Public Sentiment Analysis.
CoRR
Bilal Ahmad, Jun Sun
2020 J jnl
A Novel Geometric Mean Feature Space Discriminant Analysis Method for Hyperspectral Image Feature Extraction.
Neural Process. Lett.
Li Li, Hongwei Ge, Jianqiang Gao, Yixin Zhang, Yubing Tong, Jun Sun
2020 J jnl
A Truncated Matrix Decomposition for Hyperspectral Image Super-Resolution.
IEEE Trans. Image Process.
Jianjun Liu, Zebin Wu, Liang Xiao, Jun Sun, Hong Yan
2020 — conf
A fast GA for automatically evolving CNN architectures.
GECCO Companion
Zhou Hong, Wei Fang, Jun Sun, Xiaojun Wu
2020 J jnl
Diversity-guided Lamarckian random drift particle swarm optimization for flexible ligand docking.
BMC Bioinform.
Chao Li, Jun Sun, Vasile Palade
2020 J jnl
Generalized Tensor Regression for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Jianjun Liu, Zebin Wu, Liang Xiao, Jun Sun, Hong Yan
2020 B conf
Learning Bayesian Networks Structures with an Effective Knowledge-driven GA.
CEC
Weijian Zhang, Wei Fang, Jun Sun, Qidong Chen
2020 J jnl
Learning efficient structured dictionary for image classification.
CoRR
Ziqi Li, Jun Sun, Xiao-Jun Wu, He-Feng Yin
2020 J jnl
Learning efficient structured dictionary for image classification.
J. Electronic Imaging
Ziqi Li, Jun Sun, Xiao-Jun Wu, He-Feng Yin
2020 J jnl
Multiplication fusion of sparse and collaborative-competitive representation for image classification.
CoRR
Ziqi Li, Jun Sun, Xiao-Jun Wu, He-Feng Yin
2020 J jnl
Multiplication fusion of sparse and collaborative-competitive representation for image classification.
Int. J. Mach. Learn. Cybern.
Ziqi Li, Jun Sun, Xiaojun Wu, He-Feng Yin
2020 J jnl
Structured block diagonal representation for subspace clustering.
Appl. Intell.
Maoshan Liu, Yan Wang, Jun Sun, Zhicheng Ji
2019 — conf
A Light-Weight Context-Aware Self-Attention Model for Skin Lesion Segmentation.
PRICAI (3)
Dongliang Ma, Hao Wu, Jun Sun, Chunjing Yu, Li Liu
2019 J jnl
A Multiobjective Evolutionary Algorithm Based on Coordinate Transformation.
IEEE Trans. Cybern.
Wei Fang, Lingzhi Zhang, Shengxiang Yang, Jun Sun, Xiaojun Wu
2019 J jnl
An Effective Method of Weld Defect Detection and Classification Based on Machine Vision.
IEEE Trans. Ind. Informatics
Jun Sun, Chao Li, Xiao-Jun Wu, Vasile Palade, Wei Fang
2019 — conf
Collaborative diversity control strategy for random drift particle swarm optimization.
GECCO (Companion)
Chao Li, Jun Sun, Vasile Palade, Qidong Chen, Wei Fang
2019 B conf
Differential Grouping with Spectral Clustering for Large Scale Global Optimization.
CEC
Lin Li, Wei Fang, Quan Wang, Jun Sun
2019 J jnl
Distributed Contribution-Based Quantum-Behaved Particle Swarm Optimization With Controlled Diversity for Large-Scale Global Optimization Problems.
IEEE Access
Qidong Chen, Jun Sun, Vasile Palade
2019 C conf
Estimating Difficulty Score of Visual Search in Images for Semi-supervised Object Detection.
PKAW
Dongliang Ma, Haipeng Zhang, Hao Wu, Tao Zhang, Jun Sun
2019 J jnl
Graph-structured multitask sparsity model for visual tracking.
Inf. Sci.
Jun Sun, Qidong Chen, Jianan Sun, Tao Zhang, Wei Fang, Xiaojun Wu
2019 J jnl
Hierarchical Clustering Based Band Selection Algorithm for Hyperspectral Face Recognition.
IEEE Access
Qidong Chen, Jun Sun, Vasile Palade, Xiaoqian Shi, Li Liu
2019 — conf
Hierarchical Competition Framework for Particle Swarm Optimization.
ICSI (1)
Qidong Chen, Jun Sun, Vasile Palade, Chao Li, Zhongjie Mao, Hao Wu
2019 J jnl
Improved Genetic Algorithm for High-Utility Itemset Mining.
IEEE Access
Qiang Zhang, Wei Fang, Jun Sun, Quan Wang
2019 J jnl
Sparsity augmented weighted collaborative representation for image classification.
J. Electronic Imaging
Ziqi Li, Jun Sun, Xiao-Jun Wu, Hefeng Yin
2018 — conf
Competitive Swarm Optimization with Dynamic Opposition-based Learning.
ISC2
Yangfan Zhang, Jun Sun
2018 J jnl
Fast and robust occluded face detection in ATM surveillance.
Pattern Recognit. Lett.
Tao Zhang, Jingjing Li, Wenjing Jia, Jun Sun, Huihua Yang
2018 J jnl
Novel efficient deployment schemes for sensor coverage in mobile wireless sensor networks.
Inf. Fusion
Wei Fang, Xinhong Song, Xiaojun Wu, Jun Sun, Mengqi Hu
2018 J jnl
Semi-supervised dictionary learning via local sparse constraints for violence detection.
Pattern Recognit. Lett.
Tao Zhang, Wenjing Jia, Chen Gong, Jun Sun, Xiaoning Song
2018 — conf
Supervised Image Classification with Self-Paced Regularization.
ICDM Workshops
Tao Zhang, Chen Gong, Wenjing Jia, Xiaoning Song, Jun Sun, Xiaojun Wu
2017 B conf
A novel quantum-behaved particle swarm optimization with random selection for large scale optimization.
CEC
Wei Fang, Lingzhi Zhang, Jianhong Zhou, Xiaojun Wu, Jun Sun
2016 J jnl
A decentralized quantum-inspired particle swarm optimization algorithm with cellular structured population.
Inf. Sci.
Wei Fang, Jun Sun, Huanhuan Chen, Xiaojun Wu
2016 B conf
An evolutionary sampling approach with adaptive Levy probability distribution.
CEC
Chaoru Hu, Jun Sun, Tian Na
2016 B conf
An opposition-based learning competitive particle swarm optimizer.
CEC
Jianhong Zhou, Wei Fang, Xiaojun Wu, Jun Sun, Shi Cheng
2016 J jnl
Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine.
Comput. Math. Methods Medicine
Maolong Xi, Jun Sun, Li Liu, Fangyun Fan, Xiaojun Wu
2016 B conf
Multi-objective random drift particle swarm optimization algorithm with adaptive grids.
CEC
Yiqiong Yuan, Jun Sun, Dongmei Zhou
2015 J jnl
Adaptive Web QoS controller based on online system identification using quantum-behaved particle swarm optimization.
Soft Comput.
Wei Fang, Jun Sun, Xiaojun Wu, Vasile Palade
2015 J jnl
Calibrating RZWQM2 model using quantum-behaved particle swarm optimization algorithm.
Comput. Electron. Agric.
Maolong Xi, Zhiming Qi, Ye Zou, G. S. Vijaya Raghavan, Jun Sun
2015 J jnl
Evolutionary sampling: A novel way of machine learning within a probabilistic framework.
Inf. Sci.
Zhenping Xie, Jun Sun, Vasile Palade, Shitong Wang, Yuan Liu
2015 J jnl
Random drift particle swarm optimization algorithm: convergence analysis and parameter selection.
Mach. Learn.
Jun Sun, Xiaojun Wu, Vasile Palade, Wei Fang, Yuhui Shi
2014 J jnl
A neuro-fuzzy network based impulse noise filtering for gray scale images.
Neurocomputing
Yueyang Li, Jun Sun, Haichi Luo
2014 J jnl
Biochemical systems identification by a random drift particle swarm optimization approach.
BMC Bioinform.
Jun Sun, Vasile Palade, Yujie Cai, Wei Fang, Xiaojun Wu
2014 J jnl
Multiple Sequence Alignment with HiddenMarkov Models Learned by Random DriftParticle Swarm Optimization.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jun Sun, Vasile Palade, Xiaojun Wu, Wei Fang
2014 J jnl
Solving the Power Economic Dispatch Problem With Generator Constraints by Random Drift Particle Swarm Optimization.
IEEE Trans. Ind. Informatics
Jun Sun, Vasile Palade, Xiaojun Wu, Wei Fang, Zhenyu Wang
2013 J jnl
Random Drift Particle Swarm Optimization.
CoRR
Jun Sun, Xiaojun Wu, Vasile Palade, Wei Fang, Yuhui Shi
2013 — conf
Re-scheduling in railway networks.
UKCI
Wei Fang, Jun Sun, Xiaojun Wu, Xin Yao
2012 J jnl
Convergence analysis and improvements of quantum-behaved particle swarm optimization.
Inf. Sci.
Jun Sun, Xiaojun Wu, Vasile Palade, Wei Fang, Choi-Hong Lai, Wenbo Xu
2012 J jnl
Gene expression data analysis with the clustering method based on an improved quantum-behaved Particle Swarm Optimization.
Eng. Appl. Artif. Intell.
Jun Sun, Wei Chen, Wei Fang, Xiaojun Wu, Wenbo Xu
2012 J jnl
Multiple sequence alignment using the Hidden Markov Model trained by an improved quantum-behaved particle swarm optimization.
Inf. Sci.
Jun Sun, Xiaojun Wu, Wei Fang, Yanrui Ding, Haixia Long, Wenbo Xu
2012 J jnl
Quantum-Behaved Particle Swarm Optimization: Analysis of Individual Particle Behavior and Parameter Selection.
Evol. Comput.
Jun Sun, Wei Fang, Xiaojun Wu, Vasile Palade, Wenbo Xu
2012 B conf
Study on the compression-expansion coefficient in drift particle swarm optimization.
IEEE Congress on Evolutionary Computation
Wei Fang, Jun Sun, Xiaojun Wu, Wenbo Xu, Vasile Palade
2012 J jnl
Tracking Multiple Optima in Dynamic Environments by Quantum-Behavior Particle Swarm Using Speciation.
Int. J. Swarm Intell. Res.
Ji Zhao, Jun Sun, Vasile Palade
2012 — conf
Training ANFIS Parameters with a Quantum-behaved Particle Swarm Optimization Algorithm.
ICSI (1)
Xiufang Lin, Jun Sun, Vasile Palade, Wei Fang, Xiaojun Wu, Wenbo Xu
2011 J jnl
An improved quantum-behaved particle swarm optimization and its application to medical image registration.
Int. J. Comput. Math.
Di Zhou, Jun Sun, Choi-Hong Lai, Wenbo Xu, Xiaoguang Lee
2011 J jnl
An improved quantum-behaved particle swarm optimization for multi-peak optimization problems.
Int. J. Comput. Math.
Ji Zhao, Jun Sun, Choi-Hong Lai, Wenbo Xu
2011 J jnl
QoS multicast routing using a quantum-behaved particle swarm optimization algorithm.
Eng. Appl. Artif. Intell.
Jun Sun, Wei Fang, Xiaojun Wu, Zhenping Xie, Wenbo Xu
2011 J jnl
Quantum-behaved particle swarm optimization with Gaussian distributed local attractor point.
Appl. Math. Comput.
Jun Sun, Wei Fang, Vasile Palade, Xiaojun Wu, Wenbo Xu
2011 J jnl
Solving the multi-stage portfolio optimization problem with a novel particle swarm optimization.
Expert Syst. Appl.
Jun Sun, Wei Fang, Xiaojun Wu, Choi-Hong Lai, Wenbo Xu
2010 J jnl
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
Jun Sun, Wei Fang, Wenbo Xu
2010 — conf
An advanced Quantum-behaved Particle Swarm Optimization algorithm utilizing cooperative strategy.
IWACI
Di Zhou, Jun Sun, Wenbo Xu
2010 J jnl
Multilevel Thresholding for Image Segmentation Through an Improved Quantum-Behaved Particle Swarm Algorithm.
IEEE Trans. Instrum. Meas.
Hao Gao, Wenbo Xu, Jun Sun, Yulan Tang
2010 — conf
Multiple Sequence Alignment by Improved Hidden Markov Model Training and Quantum-Behaved Particle Swarm Optimization.
LSMS/ICSEE
Chengyuan Li, Haixia Long, Yanrui Ding, Jun Sun, Wenbo Xu
2009 J jnl
A New Mutated Quantum-Behaved Particle Swarm Optimizer for Digital IIR Filter Design.
EURASIP J. Adv. Signal Process.
Wei Fang, Jun Sun, Wenbo Xu
2009 — conf
A Parallel QPSO Algorithm Using Neighborhood Topology Model.
CSIE (4)
Xiaogen Wang, Jun Sun, Wenbo Xu
2009 — conf
Application of Online System Identification Based on Improved Quantum-Behaved Particle Swarm Optimization.
ISCID (2)
Ji Zhao, Jun Sun, Wenbo Xu
2009 — conf
Multiple Sequence Alignment Based on a Binary Particle Swarm Optimization Algorithm.
ICNC (3)
Haixia Long, Wenbo Xu, Jun Sun, Wen-Juan Ji
2009 — conf
Structure Learning of Bayesian Networks Based on Discrete Binary Quantum-Behaved Particle Swarm Optimization Algorithm.
ICNC (6)
Jing Zhao, Jun Sun, Wenbo Xu, Di Zhou
2008 J jnl
An improved quantum-behaved particle swarm optimization algorithm with weighted mean best position.
Appl. Math. Comput.
Maolong Xi, Jun Sun, Wenbo Xu
2008 C conf
Clustering of Gene Expression Data with Quantum-Behaved Particle Swarm Optimization.
IEA/AIE
Wei Chen, Jun Sun, Yanrui Ding, Wei Fang, Wenbo Xu
2008 C conf
Design of two-dimensional IIR digital filters using an improved quantum-behaved particle swarm optimization algorithm.
ACC
Jun Sun, Wei Fang, Wei Chen, Wenbo Xu
2007 Misc conf
A Modified Quantum-Behaved Particle Swarm Optimization.
International Conference on Computational Science (1)
Jun Sun, Choi-Hong Lai, Wenbo Xu, Yanrui Ding, Zhilei Chai
2007 — conf
A Novel and More Efficient Search Strategy of Quantum-Behaved Particle Swarm Optimization.
ICANNGA (1)
Jun Sun, Choi-Hong Lai, Wenbo Xu, Zhilei Chai
2007 Misc conf
An Efficient Quantum-Behaved Particle Swarm Optimization for Multiprocessor Scheduling.
International Conference on Computational Science (1)
Xiaohong Kong, Jun Sun, Bin Ye, Wenbo Xu
2007 — conf
Quantum-Behaved Particle Swarm Optimization with Binary Encoding.
ICANNGA (1)
Jun Sun, Wenbo Xu, Wei Fang, Zhilei Chai
2007 — conf
Scalability of Hybrid Fuzzy C-Means Algorithm Based on Quantum-Behaved PSO.
FSKD (2)
Hao Wang, Shiqin Yang, Wenbo Xu, Jun Sun
2007 J jnl
Using quantum-behaved particle swarm optimization algorithm to solve non-linear programming problems.
Int. J. Comput. Math.
Jun Sun, Jing Liu, Wenbo Xu
2006 — conf
A Diversity-Guided Quantum-Behaved Particle Swarm Optimization Algorithm.
SEAL
Jun Sun, Wenbo Xu, Wei Fang
2006 — conf
Design IIR Digital Filters Using Quantum-Behaved Particle Swarm Optimization.
ICNC (2)
Wei Fang, Jun Sun, Wenbo Xu
2006 — conf
Design of Two-Dimensional Recursive Filters by Using Quantum-Behaved Particle Swarm Optimization.
IIH-MSP
Wei Fang, Jun Sun, Wenbo Xu
2006 — conf
Enhancing Global Search Ability of Quantum-Behaved Particle Swarm Optimization by Maintaining Diversity of the Swarm.
RSCTC
Jun Sun, Wenbo Xu, Wei Fang
2006 — conf
FIR Digital Filters Design Based on Quantum-behaved Particle Swarm Optimization.
ICICIC (1)
Wei Fang, Jun Sun, Wenbo Xu, Jing Liu
2006 — conf
Improving Quantum-Behaved Particle Swarm Optimization by Simulated Annealing.
ICIC (3)
Jing Liu, Jun Sun, Wenbo Xu
2006 — conf
Particle Swarm Algorithm for Tasks Scheduling in Distributed Heterogeneous System.
ISDA (2)
Xiaohong Kong, Jun Sun, Wenbo Xu
2006 — conf
QPSO-Based QoS Multicast Routing Algorithm.
SEAL
Jun Sun, Jing Liu, Wenbo Xu
2006 C conf
QoS Multicast Routing Based on Particle Swarm Optimization.
IDEAL
Jing Liu, Jun Sun, Wenbo Xu
2006 Misc conf
Quantum-Behaved Particle Swarm Optimization Algorithm with Controlled Diversity.
International Conference on Computational Science (3)
Jun Sun, Wenbo Xu, Wei Fang
2006 C conf
Quantum-Behaved Particle Swarm Optimization Clustering Algorithm.
ADMA
Jun Sun, Wenbo Xu, Bin Ye
2006 — conf
Quantum-Behaved Particle Swarm Optimization for Integer Programming.
ICONIP (2)
Jing Liu, Jun Sun, Wenbo Xu
2006 — conf
Quantum-Behaved Particle Swarm Optimization with Adaptive Mutation Operator.
ICNC (1)
Jing Liu, Jun Sun, Wenbo Xu
2006 C conf
Quantum-Behaved Particle Swarm Optimization with Immune Operator.
ISMIS
Jing Liu, Jun Sun, Wenbo Xu
2006 B conf
Quantum-Behaved Particle Swarm Optimization with a Hybrid Probability Distribution.
PRICAI
Jun Sun, Wenbo Xu, Wei Fang
2006 Misc conf
Quantum-behaved particle swarm optimization based on immune memory and vaccination.
GrC
Jing Liu, Jun Sun, Wenbo Xu, X. H. Kong
2006 — conf
Solving Multi-period Financial Planning Problem Via Quantum-Behaved Particle Swarm Algorithm.
ICIC (2)
Jun Sun, Wenbo Xu, Wei Fang
2006 — conf
Solving the Hard Knapsack Problems with a Binary Particle Swarm Approach.
ICIC (3)
Bin Ye, Jun Sun, Wenbo Xu
2006 — conf
Training RBF Neural Network Via Quantum-Behaved Particle Swarm Optimization.
ICONIP (2)
Jun Sun, Wenbo Xu, Jing Liu
2005 — conf
Adaptive Parameter Selection of Quantum-Behaved Particle Swarm Optimization on Global Level.
ICIC (1)
Wenbo Xu, Jun Sun
2005 B conf
Adaptive parameter control for quantum-behaved particle swarm optimization on individual level.
SMC
Jun Sun, Wenbo Xu, Bin Feng
2005 — conf
Parameter Selection of Quantum-Behaved Particle Swarm Optimization.
ICNC (3)
Jun Sun, Wenbo Xu, Jing Liu
2005 B conf
Quantum-Behaved Particle Swarm Optimization with Mutation Operator.
ICTAI
Jing Liu, Wenbo Xu, Jun Sun
2004 B conf
Particle swarm optimization with particles having quantum behavior.
IEEE Congress on Evolutionary Computation
Jun Sun, Bin Feng, Wenbo Xu