| 2026 | AAAI | Parametric Pareto Set Learning for Expensive Multi-Objective Optimization. | Ji Cheng, Bo Xue, Qingfu Zhang |
| 2026 | AAAI | CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models. | Ping Guo, Qingfu Zhang, Xi Lin |
| 2026 | AAAI | EoH-S: Evolution of Heuristic Set Using LLMs for Automated Heuristic Design. | Fei Liu, Yilu Liu, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan |
| 2026 | AAAI | Beyond the Lower Bound: Bridging Regret Minimization and Best Arm Identification in Lexicographic Bandits. | Bo Xue, Yuanyu Wan, Zhichao Lu, Qingfu Zhang |
| 2025 | AAAI | Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits. | Bo Xue, Xi Lin, Xiaoyuan Zhang, Qingfu Zhang |
| 2025 | AAAI | Expected Hypervolume Improvement Is a Particular Hypervolume Improvement. | Jingda Deng, Jianyong Sun, Qingfu Zhang, Hui Li |
| 2025 | AAAI | Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off. | Song Lai, Zhe Zhao, Fei Zhu, Xi Lin, Qingfu Zhang, Gaofeng Meng |
| 2025 | AAAI | Destroy and Repair Using Hyper-Graphs for Routing. | Ke Li, Fei Liu, Zhenkun Wang, Qingfu Zhang |
| 2025 | AAAI | Multi-Objective Evolution of Heuristic Using Large Language Model. | Shunyu Yao, Fei Liu, Xi Lin, Zhichao Lu, Zhenkun Wang, Qingfu Zhang |
| 2025 | CEC | Population Initialization for Evolutionary Multi-objective Optimization: A Short Review. | Cheng Gong, Ping Guo, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2025 | CEC | LLM-Driven Neighborhood Search for Efficient Heuristic Design. | Zhuoliang Xie, Fei Liu, Zhenkun Wang, Qingfu Zhang |
| 2025 | CVPR | MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework. | Ping Guo, Cheng Gong, Xi Lin, Fei Liu, Zhichao Lu, Qingfu Zhang, Zhenkun Wang |
| 2025 | EMO | Large Language Model for Multiobjective Evolutionary Optimization. | Fei Liu, Xi Lin, Shunyu Yao, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang |
| 2025 | GECCO | Decomposition Multi-Objective Optimization: What We Know from the Literature, and What We are not Clear from a Data Science Perspective. | Ke Li, Qingfu Zhang |
| 2025 | GECCO | Performance Comparison between Evolutionary Algorithms and Linear Programming-based Relaxation Methods for Multi-Objective Knapsack Problems. | Cheng Gong, Ping Guo, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2025 | ICLR | Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization. | Xi Lin, Yilu Liu, Xiaoyuan Zhang, Fei Liu, Zhenkun Wang, Qingfu Zhang |
| 2025 | ICLR | Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems. | Fu Luo, Xi Lin, Yaoxin Wu, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang |
| 2025 | ICML | Multi-objective Linear Reinforcement Learning with Lexicographic Rewards. | Bo Xue, Dake Bu, Ji Cheng, Yuanyu Wan, Qingfu Zhang |
| 2025 | ICML | Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data. | Zhe Zhao, Haibin Wen, Pengkun Wang, Shuang Wang, Zhenkun Wang, Qingfu Zhang, Yang Wang |
| 2025 | ICML | Provable In-Context Vector Arithmetic via Retrieving Task Concepts. | Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Qingfu Zhang, Hau-San Wong, Taiji Suzuki |
| 2025 | ICML | Multiobjective distribution matching. | Xiaoyuan Zhang, Peijie Li, Yingying Yu, Yichi Zhang, Han Zhao, Qingfu Zhang |
| 2025 | IJCAI | Multi-Objective Neural Bandits with Random Scalarization. | Ji Cheng, Bo Xue, Chengyu Lu, Ziqiang Cui, Qingfu Zhang |
| 2025 | IJCAI | Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions. | Bo Xue, Xi Lin, Yuanyu Wan, Qingfu Zhang |
| 2025 | IJCAI | LLM-enhanced Score Function Evolution for Causal Structure Learning. | Zidong Wang, Fei Liu, Qi Feng, Qingfu Zhang, Xiaoguang Gao |
| 2025 | IJCNN | Using Momentum Moves as Training Data for Neural Network-Based Offspring Generation in Evolutionary Multi-Objective Optimization. | Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang |
| 2025 | KDD | RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark. | Federico Berto, Chuanbo Hua, Junyoung Park, Laurin Luttmann, Yining Ma, Fanchen Bu, Jiarui Wang, Haoran Ye, Minsu Kim, Sanghyeok Choi, Nayeli Gast Zepeda, Andr Hottung, Jianan Zhou, Jieyi Bi, Yu Hu, Fei Liu, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Davide Angioni, Wouter Kool, Zhiguang Cao, Qingfu Zhang, Joungho Kim, Jie Zhang, Kijung Shin, Cathy Wu, Sungsoo Ahn, Guojie Song, Changhyun Kwon, Kevin Tierney, Lin Xie, Jinkyoo Park |
| 2025 | SMC | How to Choose Solutions for Applying Momentum in Evolutionary Multi-Objective Optimization. | Longcan Chen, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2024 | AAAI | Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits. | Ji Cheng, Bo Xue, Jiaxiang Yi, Qingfu Zhang |
| 2024 | AAAI | Multiobjective Lipschitz Bandits under Lexicographic Ordering. | Bo Xue, Ji Cheng, Fei Liu, Yimu Wang, Qingfu Zhang |
| 2024 | AAAI | Learning Multi-Task Sparse Representation Based on Fisher Information. | Yayu Zhang, Yuhua Qian, Guoshuai Ma, Keyin Zheng, Guoqing Liu, Qingfu Zhang |
| 2024 | CEC | Interactive Final Solution Selection in Multi-Objective Optimization. | Cheng Gong, Yang Nan, Tianye Shu, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang |
| 2024 | CEC | MOEA/D-CMA Made Better with (l+l)-CMA-ES. | Chengyu Lu, Yilu Liu, Qingfu Zhang |
| 2024 | CEC | On the Effects of Smoothing Rugged Landscape by Different Toy Problems: A Case Study on UBQP. | Wei Wang, Jialong Shi, Jianyong Sun, Arnaud Liefooghe, Qingfu Zhang, Ye Fan |
| 2024 | CEC | Multiobjective Bayesian Optimization for Antenna Placement in In-Building Distributed Antenna System. | Xilei Wu, Pei-Qiu Huang, Linqi Song, Hai-Lin Liu, Qingfu Zhang |
| 2024 | CEC | High-Throughput Multi-Objective Bayesian Optimization using Gradients. | Yiming Yao, Fei Liu, Qingfu Zhang |
| 2024 | GECCO | L-AutoDA: Large Language Models for Automatically Evolving Decision-based Adversarial Attacks. | Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang |
| 2024 | GECCO | Enhancing the Convergence Ability of Evolutionary Multi-objective Optimization Algorithms with Momentum. | Longcan Chen, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2024 | GECCO | Heuristic Initialization and Knowledge-based Mutation for Large-Scale Multi-Objective 0-1 Knapsack Problems. | Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang |
| 2024 | GECCO | Performance of NSGA-III on Multi-objective Combinatorial Optimization Problems Heavily Depends on Its Implementations. | Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang |
| 2024 | GECCO | A Micro Dynamic Multi-objective Evolutionary Algorithm for Small-scale Smart Greenhouse with Low-power Microprocessor. | Zhongtian Luo, Jianpeng Xiong, Hu Peng, Gaosheng Zhan, Qingfu Zhang, Hui Wang, Xinyu Zhou, Wei Li, Ying Huang |
| 2024 | ICML | Smooth Tchebycheff Scalarization for Multi-Objective Optimization. | Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang |
| 2024 | ICML | Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model. | Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang |
| 2024 | ICML | Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples. | Dake Bu, Wei Huang, Taiji Suzuki, Ji Cheng, Qingfu Zhang, Zhiqiang Xu, Hau-San Wong |
| 2024 | ICML | Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning. | Zhe Zhao, Pengkun Wang, Haibin Wen, Wei Xu, Song Lai, Qingfu Zhang, Yang Wang |
| 2024 | IJCAI | Prompt Learning for Generalized Vehicle Routing. | Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan |
| 2024 | IJCNN | A Multi-objective Perspective Towards Improving Meta-Generalization. | Weiduo Liao, Ying Wei, Qirui Sun, Qingfu Zhang, Hisao Ishibuchi |
| 2024 | KDD | Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. | Fei Liu, Xi Lin, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan |
| 2024 | MICCAI | EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-expert Network. | Song Lai, Mingyang Zhao, Zhe Zhao, Shi Chang, Xiaohua Yuan, Hongbin Liu, Qingfu Zhang, Gaofeng Meng |
| 2024 | PPSN | LTR-HSS: A Learning-to-Rank Based Framework for Hypervolume Subset Selection. | Cheng Gong, Ping Guo, Tianye Shu, Qingfu Zhang, Hisao Ishibuchi |
| 2024 | PPSN | Three Objectives Degrade the Convergence Ability of Dominance-Based Multi-objective Evolutionary Algorithms. | Cheng Gong, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2024 | PPSN | Many-Objective Cover Problem: Discovering Few Solutions to Cover Many Objectives. | Yilu Liu, Chengyu Lu, Xi Lin, Qingfu Zhang |
| 2024 | PPSN | Evolve Cost-Aware Acquisition Functions Using Large Language Models. | Yiming Yao, Fei Liu, Ji Cheng, Qingfu Zhang |
| 2024 | PPSN | Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models. | Rui Zhang, Fei Liu, Xi Lin, Zhenkun Wang, Zhichao Lu, Qingfu Zhang |
| 2023 | CEC | A Novel Computational Nanobiosensing Approach to Improve the Exploitation of In Vivo Computation. | Shaolong Shi, Yifan Chen, Zhaoyang Jiang, Qiang Liu, Jurong Ding, Qingfu Zhang |
| 2023 | CEC | The Combination of MOEA/D and WOF for Solving High-Dimensional Expensive Multiobjective Optimization Problems. | Yuxiang Shui, Hui Li, Jianyong Sun, Qingfu Zhang |
| 2023 | CEC | A Decomposition-Based Hybrid Algorithm for Multi-objective Vehicle Routing Problem with Time Windows. | Yiwen Wang, Fei Liu, Qingfu Zhang |
| 2023 | CEC | Exact Formulas for the Computation of Expected Tchebycheff Improvement. | Liang Zhao, Qingfu Zhang |
| 2023 | EMO | Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. | Ping Guo, Qingfu Zhang, Xi Lin |
| 2023 | EMO | A Two-Stage Algorithm for Integer Multiobjective Simulation Optimization. | Fei Liu, Qingfu Zhang |
| 2023 | GECCO | Effects of Including Optimal Solutions into Initial Population on Evolutionary Multiobjective Optimization. | Cheng Gong, Yang Nan, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2023 | ICIP | Towards Modeling 3D Dense Shape Correspondence from Category-Specific Multi-View Images. | Zhiyuan Yang, Qingfu Zhang |
| 2023 | ICML | Continuation Path Learning for Homotopy Optimization. | Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang |
| 2023 | SMC | Effects of Initialization Methods on the Performance of Multi-Objective Evolutionary Algorithms. | Cheng Gong, Lie Meng Pang, Yang Nan, Hisao Ishibuchi, Qingfu Zhang |
| 2022 | CEC | Dynamic In Vivo Computation: Nanobiosensing from a Dynamic Optimization Perspective. | Shaolong Shi, Yifan Chen, Qiang Liu, Jurong Ding, Qingfu Zhang |
| 2022 | GECCO | Cost-vs-accuracy of sampling in multi-objective combinatorial exploratory landscape analysis. | Raphal Cosson, Bilel Derbel, Arnaud Liefooghe, Sbastien Vrel, Hernn E. Aguirre, Qingfu Zhang, Kiyoshi Tanaka |
| 2022 | GECCO | Decomposition multi-objective optimisation: current developments and future opportunities. | Ke Li, Qingfu Zhang |
| 2022 | ICLR | Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization. | Xi Lin, Zhiyuan Yang, Qingfu Zhang |
| 2022 | ICONIP | EigenGRF: Layer-Wise Eigen-Learning for Controllable Generative Radiance Fields. | Zhiyuan Yang, Qingfu Zhang |
| 2021 | AAAI | Clustering Ensemble Meets Low-rank Tensor Approximation. | Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang |
| 2021 | EMO | MOEA/D for Multiple Multi-objective Optimization. | Jingjing Chen, Qingfu Zhang, Genghui Li |
| 2021 | EMO | Multitask Feature Selection for Objective Reduction. | Genghui Li, Qingfu Zhang |
| 2021 | EMO | Approximating Pareto Fronts in Evolutionary Multiobjective Optimization with Large Population Size. | Hui Li, Yuxiang Shui, Jianyong Sun, Qingfu Zhang |
| 2021 | EMO | MOEA/D with Gradient-Enhanced Kriging for Expensive Multiobjective Optimization. | Fei Liu, Qingfu Zhang, Zhonghua Han |
| 2021 | EMO | On the Parameter Setting of the Penalty-Based Boundary Intersection Method in MOEA/D. | Zhenkun Wang, Jingda Deng, Qingfu Zhang, Qite Yang |
| 2021 | EMO | Discounted Sampling Policy Gradient for Robot Multi-objective Visual Control. | Meng Xu, Qingfu Zhang, Jianping Wang |
| 2021 | GECCO | Decomposition multi-objective optimisation: current developments and future opportunities. | Ke Li, Qingfu Zhang |
| 2021 | ICCV | Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild. | Zhiyu Zhu, Hui Liu, Junhui Hou, Huanqiang Zeng, Qingfu Zhang |
| 2020 | CEC | Hybrid Single and Multiobjective optimization for Engineering Design without Exact Specifications. | Bo Liu, Mobayode O. Akinsolu, Qingfu Zhang |
| 2020 | CIS | A Novel Hybrid Tabu Search Algorithm With Binary Differential Operator for Knapsack Problems. | Jun Hu, Qingfu Zhang, Yong-Chang Jiao |
| 2020 | GECCO | Designing parallelism in surrogate-assisted multiobjective optimization based on decomposition. | Nicolas Berveglieri, Bilel Derbel, Arnaud Liefooghe, Hernn E. Aguirre, Qingfu Zhang, Kiyoshi Tanaka |
| 2020 | GECCO | Decomposition multi-objective optimisation: current developments and future opportunities. | Ke Li, Qingfu Zhang, Sal Zapotecas Martnez |
| 2020 | GECCO | Surrogate-assisted multi-objective combinatorial optimization based on decomposition and walsh basis. | Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Sbastien Vrel, Qingfu Zhang |
| 2019 | CEC | Efficient Multi-Objective Evolutionary Algorithm for Constrained Global Optimization of Expensive Functions. | Zhonghua Han, Fei Liu, Chenzhou Xu, Keshi Zhang, Qingfu Zhang |
| 2019 | CEC | Radial Basis Function Assisted Optimization Method with Batch Infill Sampling Criterion for Expensive Optimization. | Genghui Li, Qingfu Zhang, Jianyong Sun, Zhonghua Han |
| 2019 | CEC | An Efficient Elitist Covariance Matrix Adaptation for Continuous Local Search in High Dimension. | Zhenhua Li, Jingda Deng, Weifeng Gao, Qingfu Zhang, Hai-Lin Liu |
| 2019 | CEC | MOEA/D with Two Types of Weight Vectors for Handling Constraints. | Qingling Zhu, Qingfu Zhang, Qiuzhen Lin, Jianyong Sun |
| 2019 | EMO | Adjustment of Weight Vectors of Penalty-Based Boundary Intersection Method in MOEA/D. | Hui Li, Jianyong Sun, Qingfu Zhang, Yuxiang Shui |
| 2019 | EMO | Multi-objective Techniques for Single-Objective Local Search: A Case Study on Traveling Salesman Problem. | Jialong Shi, Jianyong Sun, Qingfu Zhang |
| 2019 | GECCO | Decomposition multi-objective optimisation: current developments and future opportunities. | Ke Li, Qingfu Zhang |
| 2018 | GECCO | Decomposition multi-objective optimisation: current developments and future opportunities. | Ke Li, Qingfu Zhang |
| 2018 | GECCO | A set-oriented MOEA/D. | Bilel Derbel, Arnaud Liefooghe, Qingfu Zhang, Sbastien Vrel, Hernn E. Aguirre, Kiyoshi Tanaka |
| 2018 | GECCO | Multipopulation evolution framework for multifactorial optimization. | Genghui Li, Qingfu Zhang, Weifeng Gao |
| 2018 | GECCO | Parallel pareto local search revisited: first experimental results on bi-objective UBQP. | Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe, Jianyong Sun |
| 2018 | GECCO | Balancing exploration and exploitation in multiobjective evolutionary optimization. | Jianyong Sun, Hu Zhang, Qingfu Zhang, Huanhuan Chen |
| 2017 | CEC | Decomposition Based Evolutionary Algorithm with a Dual Set of reference vectors. | Kalyan Shankar Bhattacharjee, Hemant Kumar Singh, Tapabrata Ray, Qingfu Zhang |
| 2017 | CEC | An efficient batch expensive multi-objective evolutionary algorithm based on Decomposition. | Xi Lin, Qingfu Zhang, Sam Kwong |
| 2017 | CEC | An efficient rank-1 update for Cholesky CMA-ES using auxiliary evolution path. | Zhenhua Li, Qingfu Zhang |
| 2017 | CEC | A Parallel Tabu Search for the Unconstrained Binary Quadratic Programming problem. | Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe |
| 2017 | GECCO | Adaptive weights generation for decomposition-based multi-objective optimization using Gaussian process regression. | Mengyuan Wu, Sam Kwong, Yuheng Jia, Ke Li, Qingfu Zhang |
| 2016 | CEC | A surrogate model assisted evolutionary algorithm for computationally expensive design optimization problems with discrete variables. | Bo Liu, Nan Sun, Qingfu Zhang, Vic Grout, Georges G. E. Gielen |
| 2016 | CEC | Black-box expensive multiobjective optimization with adaptive in-fill rules. | Qin Chen, Bingxiang Long, Qingfu Zhang |
| 2016 | CEC | A multi-phase multiobjective approach based on decomposition for sparse reconstruction. | Hui Li, Yuanyuan Fan, Qingfu Zhang, Zongben Xu, Jingda Deng |
| 2016 | CEC | A decomposition based multiobjective evolutionary algorithm with classification. | Xi Lin, Qingfu Zhang, Sam Kwong |
| 2016 | CEC | An evolutionary many-objective optimisation algorithm with adaptive region decomposition. | Hai-Lin Liu, Lei Chen, Qingfu Zhang, Kalyanmoy Deb |
| 2016 | CEC | A cone order sequence based multi-objective evolutionary algorithm. | Yueming Lyu, Qingfu Zhang, Ka-Chun Wong |
| 2016 | CEC | Adaptive patch-based sparsity estimation for image via MOEA/D. | Yu Zhou, Sam Kwong, Qingfu Zhang, Mengyuan Wu |
| 2016 | GECCO | Local Search Move Strategies within MOEA/D. | Bilel Derbel, Arnaud Liefooghe, Qingfu Zhang, Hernn E. Aguirre, Kiyoshi Tanaka |
| 2016 | PPSN | Multi-objective Local Search Based on Decomposition. | Bilel Derbel, Arnaud Liefooghe, Qingfu Zhang, Hernn E. Aguirre, Kiyoshi Tanaka |
| 2016 | PPSN | What Does the Evolution Path Learn in CMA-ES? | Zhenhua Li, Qingfu Zhang |
| 2015 | CEC | On performance of decomposition-based MOEAs in noisy environment. | Qin Chen, Cheng Fu, Qingfu Zhang |
| 2015 | CEC | On the use of random weights in MOEA/D. | Hui Li, Min Ding, Jingda Deng, Qingfu Zhang |
| 2015 | CEC | Evolutionary multiobjective optimization with hybrid selection principles. | Ke Li, Kalyanmoy Deb, Qingfu Zhang |
| 2015 | EMO | Pareto Adaptive Scalarising Functions for Decomposition Based Algorithms. | Rui Wang, Qingfu Zhang, Tao Zhang |
| 2015 | EMO | Multi-objective Optimization of Barrier Coverage with Wireless Sensors. | Xiao Zhang, Yu Zhou, Qingfu Zhang, Victor C. S. Lee, Minming Li |
| 2015 | SMC | Balancing Convergence and Diversity by Using Two Different Reproduction Operators in MOEA/D: Some Preliminary Work. | Zhenkun Wang, Qingfu Zhang, Hui Li |
| 2015 | SMC | Two-Level Stable Matching-Based Selection in MOEA/D. | Mengyuan Wu, Sam Kwong, Qingfu Zhang, Ke Li, Ran Wang, Bo Liu |
| 2014 | CEC | MOEA/D with Tabu Search for multiobjective permutation flow shop scheduling problems. | Ahmad Alhindi, Qingfu Zhang |
| 2014 | CEC | A cooperative approach between metaheuristic and branch-and-price for the team orienteering problem with time windows. | Liangjun Ke, Huimin Guo, Qingfu Zhang |
| 2014 | CEC | An external archive guided multiobjective evolutionary approach based on decomposition for continuous optimization. | Yexing Li, Xinye Cai, Zhun Fan, Qingfu Zhang |
| 2014 | CEC | Behavioral study of the surrogate model-aware evolutionary search framework. | Bo Liu, Qin Chen, Qingfu Zhang, Georges G. E. Gielen, Vic Grout |
| 2014 | CEC | Multiobjective test problems with complicated Pareto fronts: Difficulties in degeneracy. | Hui Li, Qingfu Zhang, Jingda Deng |
| 2014 | CEC | A replacement strategy for balancing convergence and diversity in MOEA/D. | Zhenkun Wang, Qingfu Zhang, Maoguo Gong, Aimin Zhou |
| 2013 | EMO | Approximation Model Guided Selection for Evolutionary Multiobjective Optimization. | Aimin Zhou, Qingfu Zhang, Guixu Zhang |
| 2013 | GECCO | MOEA/D for traffic grooming in WDM optical networks. | lvaro Rubio-Largo, Qingfu Zhang, Miguel A. Vega-Rodrguez |
| 2012 | CEC | Self-adaptive lower confidence bound: A new general and effective prescreening method for Gaussian Process surrogate model assisted evolutionary algorithms. | Bo Liu, Qingfu Zhang, Francisco V. Fernndez, Georges G. E. Gielen |
| 2012 | CEC | A multiobjective evolutionary algorithm based on decomposition and probability model. | Aimin Zhou, Qingfu Zhang, Guixu Zhang |
| 2012 | PPSN | MOEA/D with Iterative Thresholding Algorithm for Sparse Optimization Problems. | Hui Li, Xiaolei Su, Zongben Xu, Qingfu Zhang |
| 2012 | PPSN | Network Topology Planning Using MOEA/D with Objective-Guided Operators. | Wei Peng, Qingfu Zhang |
| 2011 | CEC | On the limits of effectiveness in estimation of distribution algorithms. | Carlos Echegoyen, Qingfu Zhang, Alexander Mendiburu, Roberto Santana, Jos Antonio Lozano |
| 2011 | EMO | Framework for Many-Objective Test Problems with Both Simple and Complicated Pareto-Set Shapes. | Dhish Kumar Saxena, Qingfu Zhang, Joo A. Duro, Ashutosh Tiwari |
| 2011 | GECCO | Interactive MOEA/D for multi-objective decision making. | Maoguo Gong, Fang Liu, Wei Zhang, Licheng Jiao, Qingfu Zhang |
| 2011 | GECCO | Spatio-temporal data evolutionary clustering based on MOEA/D. | Jingjing Ma, Yanhui Wang, Maoguo Gong, Licheng Jiao, Qingfu Zhang |
| 2011 | GECCO | P-GLS-II: an enhanced version of the population-based guided local search. | Nasser Tairan, Qingfu Zhang |
| 2010 | CEC | Multi-objective evolutionary methods for channel selection in Brain-Computer Interfaces: Some preliminary experimental results. | Bashar Awwad Shiekh Hasan, John Q. Gan, Qingfu Zhang |
| 2010 | CEC | Multi-objective mobile agent-based Sensor Network Routing using MOEA/D. | Andreas Konstantinidis, Christoforos Charalambous, Aimin Zhou, Qingfu Zhang |
| 2010 | CEC | An enhanced MOEA/D-DE and its application to multiobjective analog cell sizing. | Bo Liu, Francisco V. Fernndez, Qingfu Zhang, Murat Pak, Suha Sipahi, Georges G. E. Gielen |
| 2010 | CEC | Population-Based Guided Local Search: Some preliminary experimental results. | Nasser Tairan, Qingfu Zhang |
| 2010 | CEC | MOEA/D with NBI-style Tchebycheff approach for portfolio management. | Qingfu Zhang, Hui Li, Dietmar Maringer, Edward P. K. Tsang |
| 2010 | CEC | A surrogate-assisted evolutionary algorithm for minimax optimization. | Aimin Zhou, Qingfu Zhang |
| 2009 | CEC | Structure learning and optimisation in a Markov-network based estimation of distribution algorithm. | Alexander E. I. Brownlee, John A. W. McCall, Siddhartha Shakya, Qingfu Zhang |
| 2009 | CEC | Enhancing MOEA/D with guided mutation and priority update for multi-objective optimization. | Chih-Ming Chen, Ying-Ping Chen, Qingfu Zhang |
| 2009 | CEC | A self-guided genetic algorithm for flowshop scheduling problems. | Shih-Hsin Chen, Pei-Chann Chang, Qingfu Zhang |
| 2009 | CEC | A Subproblem-dependent Heuristic in MOEA/D for the Deployment and Power Assignment Problem in Wireless Sensor Networks. | Andreas Konstantinidis, Qingfu Zhang, Kun Yang |
| 2009 | CEC | Fuzzy clustering based Gaussian Process Model for large training set and its application in expensive evolutionary optimization. | Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Botond Virginas |
| 2009 | CEC | The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances. | Qingfu Zhang, Wudong Liu, Hui Li |
| 2009 | GLOBECOM | Multiobjective K-Connected Deployment and Power Assignment in WSNs Using Constraint Handling. | Andreas Konstantinidis, Kun Yang, Qingfu Zhang, Fernando Gordejuela-Sanchez |
| 2009 | ICNC | An Evolutionary Approach for Survivable Network under SRLG Constraints. | Yueheng Sun, Jianyong Sun, Qingfu Zhang |
| 2008 | CEC | Approaches to selection and their effect on fitness modelling in an Estimation of Distribution Algorithm. | Alexander E. I. Brownlee, John A. W. McCall, Qingfu Zhang, Deryck Forsyth Brown |
| 2008 | CEC | MOEA/D for flowshop scheduling problems. | Pei-Chann Chang, Shih-Hsin Chen, Qingfu Zhang, Jun-Lin Lin |
| 2008 | CEC | Tchebycheff approximation in Gaussian Process model composition for multi-objective expensive black box. | Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Botond Virginas |
| 2008 | CEC | Combination of EDA and DE for continuous biobjective optimization. | Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff |
| 2008 | GLOBECOM | An Evolutionary Algorithm to a Multi-Objective Deployment and Power Assignment Problem in Wireless Sensor Networks. | Andreas Konstantinidis, Kun Yang, Qingfu Zhang |
| 2008 | GRC | A Decomposition-based Multi-objective Particle Swarm Optimization Algorithm for Continuous Optimization Problems. | Wei Peng, Qingfu Zhang |
| 2007 | CEC | Adaptivemodelling strategy for continuous multi-objective optimization. | Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff |
| 2007 | EMO | Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization. | Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang |
| 2007 | GECCO | An estimation of distribution algorithm with guided mutation for a complex flow shop scheduling problem. | Abdellah Salhi, Jos Antonio Vzquez Rodrguez, Qingfu Zhang |
| 2007 | GECCO | Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover. | Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang |
| 2006 | CEC | Iterated Local Search with Guided Mutation. | Qingfu Zhang, Jianyong Sun |
| 2006 | CEC | Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion. | Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang |
| 2006 | GLOBECOM | Energy-aware Topology Control in Sensor Networks Using Modern Heuristics. | Andreas Konstantinidis, Qingfu Zhang, Kun Yang, Ian Henning |
| 2006 | PPSN | A Multiobjective Differential Evolution Based on Decomposition for Multiobjective Optimization with Variable Linkages. | Hui Li, Qingfu Zhang |
| 2006 | PPSN | Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic Mapping. | Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang |
| 2005 | CEC | A model-based evolutionary algorithm for bi-objective optimization. | Aimin Zhou, Qingfu Zhang, Yaochu Jin, Edward P. K. Tsang, Tatsuya Okabe |
| 2004 | CEC | To understand one-dimensional continuous fitness landscapes by drift analysis. | Jun He, Xin Yao, Qingfu Zhang |
| 2000 | IJCNN | A Simplified ICA Based Denoising Method. | Qingfu Zhang, Hujun Yin, Nigel M. Allinson |
| 1996 | ICEC | A New Evolutionary Model Based on Family Eugenics: the First Results. | Shaoyan Wu, Qingfu Zhang, Huowang Chen |