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ORCIDQingfu Zhang 0001
Person information
- affiliation: City University of Hong Kong, Department of Computer Science, Hong Kong
- affiliation (former): University of Essex, Department of Computer, UK
- affiliation (PhD 1994): Xidian University, Xi'an, China
Other persons with the same name
- Qingfu Zhang
- Qingfu Zhang 0002 — China University of Petroleum (East China), Qingdao, China
- Qingfu Zhang 0003 — Third Research Institute of the Ministry of Public Security, Shanghai, China
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2020 – today
- 2023
[j156]Bilel Derbel, Geoffrey Pruvost
, Arnaud Liefooghe, Sébastien Vérel, Qingfu Zhang:
Walsh-based surrogate-assisted multi-objective combinatorial optimization: A fine-grained analysis for pseudo-boolean functions. Appl. Soft Comput. 136: 110061 (2023)- [j155]Haotian Zhang, Jianyong Sun, Thomas Bäck, Qingfu Zhang, Zongben Xu:
Controlling Sequential Hybrid Evolutionary Algorithm by Q-Learning [Research Frontier] [Research Frontier]. IEEE Comput. Intell. Mag. 18(1): 84-103 (2023) - [j154]Maoguo Gong, Tongfei Liu, Mingyang Zhang, Qingfu Zhang, Di Lu, Hanhong Zheng, Fenlong Jiang:
Context-content collaborative network for building extraction from high-resolution imagery. Knowl. Based Syst. 263: 110283 (2023) - [j153]Xiaohan Liu, Xiaoguang Gao, Zidong Wang, Xinxin Ru, Qingfu Zhang:
A metaheuristic causal discovery method in directed acyclic graphs space. Knowl. Based Syst. 276: 110749 (2023) - [j152]Fei Liu, Qingfu Zhang, Zhonghua Han:
MOEA/D with gradient-enhanced kriging for expensive multiobjective optimization. Nat. Comput. 22(2): 329-339 (2023) - [j151]Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Qingfu Zhang:
Generalization Performance of Pure Accuracy and its Application in Selective Ensemble Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1798-1816 (2023) - [j150]Zhenkun Wang, Qingfu Zhang, Yew-Soon Ong, Shunyu Yao, Haitao Liu, Jianping Luo:
Choose Appropriate Subproblems for Collaborative Modeling in Expensive Multiobjective Optimization. IEEE Trans. Cybern. 53(1): 483-496 (2023) - [j149]Pei-Qiu Huang, Yong Wang, Kezhi Wang, Qingfu Zhang:
Combining Lyapunov Optimization With Evolutionary Transfer Optimization for Long-Term Energy Minimization in IRS-Aided Communications. IEEE Trans. Cybern. 53(4): 2647-2657 (2023) - [j148]Wei Zheng, Jianyong Sun, Qingfu Zhang, Zongben Xu:
Continuous Encoding for Overlapping Community Detection in Attributed Network. IEEE Trans. Cybern. 53(9): 5469-5482 (2023) - [j147]Xianpeng Wang, Zhiming Dong, Lixin Tang, Qingfu Zhang:
Multiobjective Multitask Optimization-Neighborhood as a Bridge for Knowledge Transfer. IEEE Trans. Evol. Comput. 27(1): 155-169 (2023) - [j146]Genghui Li, Zhenkun Wang, Qingfu Zhang, Jianyong Sun:
Offline and Online Objective Reduction via Gaussian Mixture Model Clustering. IEEE Trans. Evol. Comput. 27(2): 341-354 (2023) - [j145]Shaolong Shi, Yifan Chen, Jurong Ding, Qiang Liu, Qingfu Zhang:
Dynamic In Vivo Computation for Learning-Based Nanobiosensing in Time-Varying Biological Landscapes. IEEE Trans. Evol. Comput. 27(4): 1100-1114 (2023) - [j144]Zhenhua Li, Huilin Cheng, Xinye Cai, Jun Zhao, Qingfu Zhang:
SA-ES: Subspace Activation Evolution Strategy for Black-Box Adversarial Attacks. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 780-790 (2023) - [j143]Honghong Cheng, Yuhua Qian, Yingjie Guo, Keyin Zheng, Qingfu Zhang:
Neighborhood Information-Based Method for Multivariate Association Mining. IEEE Trans. Knowl. Data Eng. 35(6): 6126-6135 (2023) - [c130]Shaolong Shi, Yifan Chen, Zhaoyang Jiang, Qiang Liu, Jurong Ding, Qingfu Zhang:
A Novel Computational Nanobiosensing Approach to Improve the Exploitation of In Vivo Computation. CEC 2023: 1-7 - [c129]Yuxiang Shui, Hui Li, Jianyong Sun, Qingfu Zhang:
The Combination of MOEA/D and WOF for Solving High-Dimensional Expensive Multiobjective Optimization Problems. CEC 2023: 1-8 - [c128]Yiwen Wang, Fei Liu, Qingfu Zhang:
A Decomposition-Based Hybrid Algorithm for Multi-objective Vehicle Routing Problem with Time Windows. CEC 2023: 1-8 - [c127]Liang Zhao, Qingfu Zhang:
Exact Formulas for the Computation of Expected Tchebycheff Improvement. CEC 2023: 1-8 - [c126]Fei Liu, Qingfu Zhang:
A Two-Stage Algorithm for Integer Multiobjective Simulation Optimization. EMO 2023: 17-28 - [c125]Ping Guo, Qingfu Zhang, Xi Lin:
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. EMO 2023: 247-259 - [c124]Cheng Gong, Yang Nan, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi:
Effects of Including Optimal Solutions into Initial Population on Evolutionary Multiobjective Optimization. GECCO 2023: 661-669 - [c123]Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang:
Continuation Path Learning for Homotopy Optimization. ICML 2023: 21288-21311 - [i36]Fei Liu, Chengyu Lu, Lin Gui, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan:
Heuristics for Vehicle Routing Problem: A Survey and Recent Advances. CoRR abs/2303.04147 (2023) - [i35]Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang:
Continuation Path Learning for Homotopy Optimization. CoRR abs/2307.12551 (2023) - [i34]Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang:
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. CoRR abs/2310.07985 (2023) - [i33]Fei Liu, Xi Lin, Zhenkun Wang, Shunyu Yao, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Large Language Model for Multi-objective Evolutionary Optimization. CoRR abs/2310.12541 (2023) - [i32]Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Qingfu Zhang:
Evolutionary Pareto Set Learning with Structure Constraints. CoRR abs/2310.20426 (2023) - [i31]Fei Liu, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Algorithm Evolution Using Large Language Model. CoRR abs/2311.15249 (2023) - 2022
- [j142]Hui Liu, Yuheng Jia, Junhui Hou, Qingfu Zhang:
Global-Local Balanced Low-Rank Approximation of Hyperspectral Images for Classification. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2013-2024 (2022) - [j141]Zhihao Peng, Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang:
Maximum Entropy Subspace Clustering Network. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2199-2210 (2022) - [j140]Hui Liu, Yuheng Jia, Junhui Hou, Qingfu Zhang:
Learning Low-Rank Graph With Enhanced Supervision. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2501-2506 (2022) - [j139]Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang:
Self-Supervised Symmetric Nonnegative Matrix Factorization. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4526-4537 (2022) - [j138]Jialong Shi, Jianyong Sun, Qingfu Zhang, Kai Ye:
Homotopic Convex Transformation: A New Landscape Smoothing Method for the Traveling Salesman Problem. IEEE Trans. Cybern. 52(1): 495-507 (2022) - [j137]Jianping Luo, Liang Chen, Xia Li, Qingfu Zhang:
Novel Multitask Conditional Neural-Network Surrogate Models for Expensive Optimization. IEEE Trans. Cybern. 52(5): 3984-3997 (2022) - [j136]Genghui Li, Qingfu Zhang, Qiuzhen Lin, Weifeng Gao:
A Three-Level Radial Basis Function Method for Expensive Optimization. IEEE Trans. Cybern. 52(7): 5720-5731 (2022) - [j135]Zhifang Wei, Weifeng Gao, Genghui Li, Qingfu Zhang:
A Penalty-Based Differential Evolution for Multimodal Optimization. IEEE Trans. Cybern. 52(7): 6024-6033 (2022) - [j134]Jianyong Sun, Wei Zheng, Qingfu Zhang, Zongben Xu:
Graph Neural Network Encoding for Community Detection in Attribute Networks. IEEE Trans. Cybern. 52(8): 7791-7804 (2022) - [j133]Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang:
Semisupervised Affinity Matrix Learning via Dual-Channel Information Recovery. IEEE Trans. Cybern. 52(8): 7919-7930 (2022) - [j132]Zhenkun Wang, Hui-Ling Zhen, Jingda Deng, Qingfu Zhang, Xijun Li, Mingxuan Yuan, Jia Zeng:
Multiobjective Optimization-Aided Decision-Making System for Large-Scale Manufacturing Planning. IEEE Trans. Cybern. 52(8): 8326-8339 (2022) - [j131]Genghui Li, Qingfu Zhang, Zhenkun Wang:
Evolutionary Competitive Multitasking Optimization. IEEE Trans. Evol. Comput. 26(2): 278-289 (2022) - [j130]Xinye Cai, Qi Sun, Zhenhua Li, Yushun Xiao, Yi Mei, Qingfu Zhang, Xiaoping Li:
Cooperative Coevolution With Knowledge-Based Dynamic Variable Decomposition for Bilevel Multiobjective Optimization. IEEE Trans. Evol. Comput. 26(6): 1553-1565 (2022) - [j129]Tongfei Liu, Maoguo Gong, Di Lu, Qingfu Zhang, Hanhong Zheng, Fenlong Jiang, Mingyang Zhang:
Building Change Detection for VHR Remote Sensing Images via Local-Global Pyramid Network and Cross-Task Transfer Learning Strategy. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j128]Zhaoyi Yan, Ruimao Zhang, Hongzhi Zhang, Qingfu Zhang, Wangmeng Zuo:
Crowd Counting Via Perspective-Guided Fractional-Dilation Convolution. IEEE Trans. Multim. 24: 2633-2647 (2022) - [j127]Xinye Cai, Haiyang Xu, Xiaoping Li, Kang Wang, Long Chen, Rubén Ruiz García, Qingfu Zhang:
A Bi-Objective Learn-and-Deploy Scheduling Method for Bursty and Stochastic Requests on Heterogeneous Cloud Servers. IEEE Trans. Parallel Distributed Syst. 33(10): 4547-4562 (2022) - [j126]Jiahai Wang, Yanyue Li, Qingfu Zhang, Zizhen Zhang, Shangce Gao:
Cooperative Multiobjective Evolutionary Algorithm With Propulsive Population for Constrained Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3476-3491 (2022) - [j125]Zhenhua Li, Shuo Zhang, Xinye Cai, Qingfu Zhang, Xiaomin Zhu, Zhun Fan, Xiuyi Jia:
Noisy Optimization by Evolution Strategies With Online Population Size Learning. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5816-5828 (2022) - [c122]Shaolong Shi, Yifan Chen, Qiang Liu, Jurong Ding, Qingfu Zhang:
Dynamic In Vivo Computation: Nanobiosensing from a Dynamic Optimization Perspective. CEC 2022: 1-7 - [c121]Raphaël Cosson, Bilel Derbel, Arnaud Liefooghe, Sébastien Vérel, Hernán E. Aguirre, Qingfu Zhang, Kiyoshi Tanaka:
Cost-vs-accuracy of sampling in multi-objective combinatorial exploratory landscape analysis. GECCO 2022: 493-501 - [c120]Ke Li, Qingfu Zhang:
Decomposition multi-objective optimisation: current developments and future opportunities. GECCO Companion 2022: 1554-1571 - [c119]Xi Lin, Zhiyuan Yang, Qingfu Zhang:
Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization. ICLR 2022 - [c118]Zhiyuan Yang, Qingfu Zhang:
EigenGRF: Layer-Wise Eigen-Learning for Controllable Generative Radiance Fields. ICONIP (1) 2022: 189-199 - [c117]Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang:
Pareto Set Learning for Expensive Multi-Objective Optimization. NeurIPS 2022 - [c116]Zhen Song, Wenjian Luo, Xin Lin, Zeneng She, Qingfu Zhang:
On Multiobjective Knapsack Problems with Multiple Decision Makers. SSCI 2022: 156-163 - [i30]Xi Lin, Zhiyuan Yang, Qingfu Zhang:
Pareto Set Learning for Neural Multi-objective Combinatorial Optimization. CoRR abs/2203.15386 (2022) - [i29]Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang:
Pareto Set Learning for Expensive Multi-Objective Optimization. CoRR abs/2210.08495 (2022) - 2021
- [j124]Jialong Shi, Jianyong Sun, Qingfu Zhang:
Multi-objectivization inspired metaheuristics for the sum-of-the-parts combinatorial optimization problems. Appl. Soft Comput. 103: 107157 (2021) - [j123]Lei Chen, Kalyanmoy Deb, Hai-Lin Liu, Qingfu Zhang:
Effect of Objective Normalization and Penalty Parameter on Penalty Boundary Intersection Decomposition-Based Evolutionary Many-Objective Optimization Algorithms. Evol. Comput. 29(1): 157-186 (2021) - [j122]Yu Zhou, Junhao Kang, Sam Kwong, Xu Wang, Qingfu Zhang:
An evolutionary multi-objective optimization framework of discretization-based feature selection for classification. Swarm Evol. Comput. 60: 100770 (2021) - [j121]Zhiyu Zhu, Hui Liu, Junhui Hou, Sen Jia, Qingfu Zhang:
Deep Amended Gradient Descent for Efficient Spectral Reconstruction From Single RGB Images. IEEE Trans. Computational Imaging 7: 1176-1188 (2021) - [j120]Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang:
Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation. IEEE Trans. Circuits Syst. Video Technol. 31(12): 4784-4797 (2021) - [j119]Shengchao Zhou, Lining Xing, Xu Zheng, Ni Du, Ling Wang, Qingfu Zhang:
A Self-Adaptive Differential Evolution Algorithm for Scheduling a Single Batch-Processing Machine With Arbitrary Job Sizes and Release Times. IEEE Trans. Cybern. 51(3): 1430-1442 (2021) - [j118]Xinye Cai, Chao Xia, Qingfu Zhang, Zhiwei Mei, Han Hu, Lisong Wang, Jun Hu:
The Collaborative Local Search Based on Dynamic-Constrained Decomposition With Grids for Combinatorial Multiobjective Optimization. IEEE Trans. Cybern. 51(5): 2639-2650 (2021) - [j117]Xingquan Zuo, Xueqing Liu, Qingfu Zhang, Weiping Li, Xing Wan, Xinchao Zhao:
MOEA/D With Linear Programming for Double Row Layout Problem With Center-Islands. IEEE Trans. Cybern. 51(7): 3549-3561 (2021) - [j116]Jiawei Yuan, Hai-Lin Liu, Fangqing Gu, Qingfu Zhang, Zhaoshui He:
Investigating the Properties of Indicators and an Evolutionary Many-Objective Algorithm Using Promising Regions. IEEE Trans. Evol. Comput. 25(1): 75-86 (2021) - [j115]Genghui Li, Qingfu Zhang:
Multiple Penalties and Multiple Local Surrogates for Expensive Constrained Optimization. IEEE Trans. Evol. Comput. 25(4): 769-778 (2021) - [j114]Xinyan Liang, Qian Guo, Yuhua Qian, Weiping Ding, Qingfu Zhang:
Evolutionary Deep Fusion Method and its Application in Chemical Structure Recognition. IEEE Trans. Evol. Comput. 25(5): 883-893 (2021) - [j113]Bing-Chuan Wang, Han-Xiong Li, Qingfu Zhang, Yong Wang:
Decomposition-Based Multiobjective Optimization for Constrained Evolutionary Optimization. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 574-587 (2021) - [j112]Weifeng Gao, Genghui Li, Qingfu Zhang, Yuting Luo, Zhenkun Wang:
Solving Nonlinear Equation Systems by a Two-Phase Evolutionary Algorithm. IEEE Trans. Syst. Man Cybern. Syst. 51(9): 5652-5663 (2021) - [c115]Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang:
Clustering Ensemble Meets Low-rank Tensor Approximation. AAAI 2021: 7970-7978 - [c114]Hui Li, Yuxiang Shui, Jianyong Sun, Qingfu Zhang:
Approximating Pareto Fronts in Evolutionary Multiobjective Optimization with Large Population Size. EMO 2021: 65-76 - [c113]Genghui Li, Qingfu Zhang:
Multitask Feature Selection for Objective Reduction. EMO 2021: 77-88 - [c112]Jingjing Chen, Qingfu Zhang, Genghui Li:
MOEA/D for Multiple Multi-objective Optimization. EMO 2021: 152-163 - [c111]Zhenkun Wang, Jingda Deng, Qingfu Zhang, Qite Yang:
On the Parameter Setting of the Penalty-Based Boundary Intersection Method in MOEA/D. EMO 2021: 413-423 - [c110]Meng Xu, Qingfu Zhang, Jianping Wang:
Discounted Sampling Policy Gradient for Robot Multi-objective Visual Control. EMO 2021: 441-452 - [c109]Fei Liu, Qingfu Zhang, Zhonghua Han:
MOEA/D with Gradient-Enhanced Kriging for Expensive Multiobjective Optimization. EMO 2021: 543-554 - [c108]Raphaël Cosson, Bilel Derbel, Arnaud Liefooghe, Hernán E. Aguirre, Kiyoshi Tanaka, Qingfu Zhang:
Decomposition-Based Multi-objective Landscape Features and Automated Algorithm Selection. EvoCOP 2021: 34-50 - [c107]Ke Li, Qingfu Zhang:
Decomposition multi-objective optimisation: current developments and future opportunities. GECCO Companion 2021: 881-898 - [c106]Zhiyu Zhu, Hui Liu, Junhui Hou, Huanqiang Zeng, Qingfu Zhang:
Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild. ICCV 2021: 2259-2268 - [e10]Hisao Ishibuchi, Qingfu Zhang, Ran Cheng, Ke Li, Hui Li, Handing Wang, Aimin Zhou:
Evolutionary Multi-Criterion Optimization - 11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021, Proceedings. Lecture Notes in Computer Science 12654, Springer 2021, ISBN 978-3-030-72061-2 [contents] - [i28]Xianpeng Wang, Zhiming Dong, Lixin Tang, Qingfu Zhang:
Multiobjective Multitasking Optimization Based on Decomposition with Dual Neighborhoods. CoRR abs/2101.07548 (2021) - [i27]Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang:
Self-supervised Symmetric Nonnegative Matrix Factorization. CoRR abs/2103.01689 (2021) - [i26]Zhaoyi Yan, Ruimao Zhang, Hongzhi Zhang, Qingfu Zhang, Wangmeng Zuo:
Crowd Counting via Perspective-Guided Fractional-Dilation Convolution. CoRR abs/2107.03665 (2021) - [i25]Zhiyu Zhu, Hui Liu, Junhui Hou, Sen Jia, Qingfu Zhang:
Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images. CoRR abs/2108.05547 (2021) - [i24]Zhiyu Zhu, Hui Liu, Junhui Hou, Huanqiang Zeng, Qingfu Zhang:
Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild. CoRR abs/2108.06659 (2021) - [i23]Jianfei Guo, Zhiyuan Yang, Xi Lin, Qingfu Zhang:
Template NeRF: Towards Modeling Dense Shape Correspondences from Category-Specific Object Images. CoRR abs/2111.04237 (2021) - 2020
- [j111]Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman:
Difficulty Adjustable and Scalable Constrained Multiobjective Test Problem Toolkit. Evol. Comput. 28(3): 339-378 (2020) - [j110]Yangyang Li, Mengzhuo Tian, Yang Wang, Qingfu Zhang, Dhish Kumar Saxena, Licheng Jiao:
A new replica placement strategy based on multi-objective optimisation for HDFS. Int. J. Bio Inspired Comput. 16(1): 13-22 (2020) - [j109]Zhenhua Li, Qingfu Zhang:
Variable metric evolution strategies by mutation matrix adaptation. Inf. Sci. 541: 136-151 (2020) - [j108]Zhenhua Li, Xi Lin, Qingfu Zhang, Hai-Lin Liu:
Evolution strategies for continuous optimization: A survey of the state-of-the-art. Swarm Evol. Comput. 56: 100694 (2020) - [j107]Mengyuan Wu, Ke Li, Sam Kwong, Qingfu Zhang:
Evolutionary Many-Objective Optimization Based on Adversarial Decomposition. IEEE Trans. Cybern. 50(2): 753-764 (2020) - [j106]Jialong Shi, Qingfu Zhang, Jianyong Sun:
PPLS/D: Parallel Pareto Local Search Based on Decomposition. IEEE Trans. Cybern. 50(3): 1060-1071 (2020) - [j105]Zhenhua Li, Qingfu Zhang, Xi Lin, Hui-Ling Zhen:
Fast Covariance Matrix Adaptation for Large-Scale Black-Box Optimization. IEEE Trans. Cybern. 50(5): 2073-2083 (2020) - [j104]Jingda Deng, Qingfu Zhang:
Combining Simple and Adaptive Monte Carlo Methods for Approximating Hypervolume. IEEE Trans. Evol. Comput. 24(5): 896-907 (2020) - [j103]Qingling Zhu, Qingfu Zhang, Qiuzhen Lin:
A Constrained Multiobjective Evolutionary Algorithm With Detect-and-Escape Strategy. IEEE Trans. Evol. Comput. 24(5): 938-947 (2020) - [c105]Bo Liu, Mobayode O. Akinsolu, Qingfu Zhang:
Hybrid Single and Multiobjective optimization for Engineering Design without Exact Specifications. CEC 2020: 1-7 - [c104]Jun Hu, Qingfu Zhang, Yong-Chang Jiao:
A Novel Hybrid Tabu Search Algorithm With Binary Differential Operator for Knapsack Problems. CIS 2020: 259-263 - [c103]Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Ke Li, Qingfu Zhang:
On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D. EvoCOP 2020: 131-147 - [c102]Nicolas Berveglieri, Bilel Derbel, Arnaud Liefooghe, Hernán E. Aguirre, Qingfu Zhang, Kiyoshi Tanaka:
Designing parallelism in surrogate-assisted multiobjective optimization based on decomposition. GECCO 2020: 462-470 - [c101]Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Sébastien Vérel, Qingfu Zhang:
Surrogate-assisted multi-objective combinatorial optimization based on decomposition and walsh basis. GECCO 2020: 542-550 - [c100]Ke Li, Qingfu Zhang, Saúl Zapotecas Martínez:
Decomposition multi-objective optimisation: current developments and future opportunities. GECCO Companion 2020: 859-876 - [i22]Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Ke Li, Qingfu Zhang:
On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D. CoRR abs/2004.06961 (2020) - [i21]Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang:
Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation. CoRR abs/2004.14705 (2020) - [i20]Jianyong Sun, Wei Zheng, Qingfu Zhang, Zongben Xu:
Graph Neural Network Encoding for Community Detection in Attribute Networks. CoRR abs/2006.03996 (2020) - [i19]Xi Lin, Zhiyuan Yang, Qingfu Zhang, Sam Kwong:
Controllable Pareto Multi-Task Learning. CoRR abs/2010.06313 (2020) - [i18]Zhihao Peng, Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang:
Maximum Entropy Subspace Clustering Network. CoRR abs/2012.03176 (2020) - [i17]Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang:
Clustering Ensemble Meets Low-rank Tensor Approximation. CoRR abs/2012.08916 (2020)
2010 – 2019
- 2019
- [j102]Hu Zhang, Jianyong Sun, Tonglin Liu, Ke Zhang, Qingfu Zhang:
Balancing exploration and exploitation in multiobjective evolutionary optimization. Inf. Sci. 497: 129-148 (2019) - [j101]Jianyong Sun, Hu Zhang, Aimin Zhou, Qingfu Zhang, Ke Zhang:
A new learning-based adaptive multi-objective evolutionary algorithm. Swarm Evol. Comput. 44: 304-319 (2019) - [j100]Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman:
Push and pull search for solving constrained multi-objective optimization problems. Swarm Evol. Comput. 44: 665-679 (2019) - [j99]Hui Li, Jingda Deng, Qingfu Zhang, Jianyong Sun:
Adaptive Epsilon dominance in decomposition-based multiobjective evolutionary algorithm. Swarm Evol. Comput. 45: 52-67 (2019) - [j98]Hui Li, Kalyanmoy Deb, Qingfu Zhang, Ponnuthurai N. Suganthan, Lei Chen:
Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties. Swarm Evol. Comput. 46: 104-117 (2019) - [j97]Jiahai Wang, Taiyao Weng, Qingfu Zhang:
A Two-Stage Multiobjective Evolutionary Algorithm for Multiobjective Multidepot Vehicle Routing Problem With Time Windows. IEEE Trans. Cybern. 49(7): 2467-2478 (2019) - [j96]Xinye Cai, Haoran Sun, Qingfu Zhang, Yuhua Huang</