A replacement strategy for balancing convergence and diversity in MOEA/D. - Zhenkun Wang 001; Qingfu Zhang 001; Maoguo Gong; Aimin Zhou (IEEE Congress on Evolutionary Computation, 2014)

Balancing Convergence and Diversity by Using Two Different Reproduction Operators in MOEA/D: Some Preliminary Work. - Zhenkun Wang 001; Qingfu Zhang 001; Hui Li 020 (SMC, 2015)

Improved adaptive global replacement scheme for MOEA/D-AGR. - Hiu-Hin Tam; Man-Fai Leung; Zhenkun Wang 001; Sin Chun Ng; Chi-Chung Cheung; Andrew K. Lui (CEC, 2016)

Discrete particle swarm optimization for high-order graph matching. - Maoguo Gong; Yue Wu 004; Qing Cai; Wenping Ma 001; A. Kai Qin; Zhenkun Wang 001; Licheng Jiao (Inf. Sci., 2016)

Adaptive Replacement Strategies for MOEA/D. - Zhenkun Wang 001; Qingfu Zhang 001; Aimin Zhou; Maoguo Gong; Licheng Jiao (IEEE Trans. Cybern., 2016)

An improved global replacement strategy for MOEA/D on many-objective kanpsack problems. - Xingxing Hao; Jing Liu 006; Zhenkun Wang 001 (CASE, 2017)

On the use of two reference points in decomposition based multiobjective evolutionary algorithms. - Zhenkun Wang 001; Qingfu Zhang 001; Hui Li 020; Hisao Ishibuchi; Licheng Jiao (Swarm Evol. Comput., 2017)

Evolutionary Optimization of Expensive Multiobjective Problems With Co-Sub-Pareto Front Gaussian Process Surrogates. - Jianping Luo; Abhishek Gupta 001; Yew-Soon Ong; Zhenkun Wang 001 (IEEE Trans. Cybern., 2019)

Evolutionary Multitasking Sparse Reconstruction: Framework and Case Study. - Hao Li 009; Yew-Soon Ong; Maoguo Gong; Zhenkun Wang 001 (IEEE Trans. Evol. Comput., 2019)

On Scalable Multiobjective Test Problems With Hardly Dominated Boundaries. - Zhenkun Wang 001; Yew-Soon Ong; Hisao Ishibuchi (IEEE Trans. Evol. Comput., 2019)

A Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries. - Zhenkun Wang 001; Yew-Soon Ong; Jianyong Sun; Abhishek Gupta 001; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2019)

A many-objective particle swarm optimizer based on indicator and direction vectors for many-objective optimization. - Jianping Luo; Xiongwen Huang; Yun Yang; Xia Li 006; Zhenkun Wang 001; Jiqiang Feng (Inf. Sci., 2020)

A neurodynamic approach to nonsmooth constrained pseudoconvex optimization problem. - Chen Xu 004; Yiyuan Chai; Sitian Qin; Zhenkun Wang 001; Jiqiang Feng (Neural Networks, 2020)

On the Parameter Setting of the Penalty-Based Boundary Intersection Method in MOEA/D. - Zhenkun Wang 001; Jingda Deng; Qingfu Zhang 001; Qite Yang (EMO, 2021)

It Is Hard to Distinguish Between Dominance Resistant Solutions and Extremely Convex Pareto Optimal Solutions. - Qite Yang; Zhenkun Wang 001; Hisao Ishibuchi (EMO, 2021)

Positive opinion maximization in signed social networks. - Qiang He 002; Lihong Sun; Xingwei Wang 001; Zhenkun Wang 001; Min Huang 001; Bo Yi; Yuantian Wang; Lianbo Ma (Inf. Sci., 2021)

Balancing performance between the decision space and the objective space in multimodal multiobjective optimization. - Qite Yang; Zhenkun Wang 001; Jianping Luo; Qiang He 002 (Memetic Comput., 2021)

Solving Nonlinear Equation Systems by a Two-Phase Evolutionary Algorithm. - Weifeng Gao; Genghui Li; Qingfu Zhang 001; Yuting Luo; Zhenkun Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Stacked Ensemble of Metamodels for Expensive Global Optimization. - Ziliang Miao; Buwei He; Hubocheng Tang; Jixiang Chen; Zhenkun Wang 001 (CCIS, 2022)

Adaptive Differential Evolution Algorithm with Multiple Gaussian Learning Models. - Genghui Li; Qingyan Li; Zhenkun Wang 001 (CICAI (3), 2022)

Dynamic multi-objective ensemble of acquisition functions in batch bayesian optimization. - Jixiang Chen; Fu Luo; Zhenkun Wang 001 (GECCO Companion, 2022)

System-in-package design using multi-task memetic learning and optimization. - Weijing Dai; Zhenkun Wang 001; Ke Xue (Memetic Comput., 2022)

Multi-swarm particle swarm optimization based on CUDA for sparse reconstruction. - Wencheng Han; Hao Li 009; Maoguo Gong; Jianzhao Li; Yiting Liu; Zhenkun Wang 001 (Swarm Evol. Comput., 2022)

Multiobjective Optimization-Aided Decision-Making System for Large-Scale Manufacturing Planning. - Zhenkun Wang 001; Hui-Ling Zhen; Jingda Deng; Qingfu Zhang 001; Xijun Li; Mingxuan Yuan; Jia Zeng (IEEE Trans. Cybern., 2022)

Evolutionary Competitive Multitasking Optimization. - Genghui Li; Qingfu Zhang 001; Zhenkun Wang 001 (IEEE Trans. Evol. Comput., 2022)

A Generalized Scalarization Method for Evolutionary Multi-Objective Optimization. - Ruihao Zheng; Zhenkun Wang 001 (AAAI, 2023)

Decomposition-Based Multi-Objective Evolutionary Algorithm with Model-Based Ideal Point Estimation. - Yin Wu; Ruihao Zheng; Zhenkun Wang 001 (GECCO, 2023)

Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation. - Zhongju Yuan; Zhenkun Wang 001; Genghui Li (IJCNN, 2023)

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. - Fu Luo; Xi Lin 001; Fei Liu 044; Qingfu Zhang 001; Zhenkun Wang 001 (NeurIPS, 2023)

DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models. - Tianqi Xiang 001; Wenjun Yue; Yiqun Lin; Jiewen Yang; Zhenkun Wang 001; Xiaomeng Li 001 (STACOM@MICCAI, 2023)

Large Language Model for Multi-objective Evolutionary Optimization. - Fei Liu 044; Xi Lin 001; Zhenkun Wang 001; Shunyu Yao 002; Xialiang Tong; Mingxuan Yuan; Qingfu Zhang 001 (CoRR, 2023)

Fast SVM classifier for large-scale classification problems. - Huajun Wang; Genghui Li; Zhenkun Wang 001 (Inf. Sci., 2023)

Batch Bayesian optimization with adaptive batch acquisition functions via multi-objective optimization. - Jixiang Chen; Fu Luo; Genghui Li; Zhenkun Wang 001 (Swarm Evol. Comput., 2023)

Choose Appropriate Subproblems for Collaborative Modeling in Expensive Multiobjective Optimization. - Zhenkun Wang 001; Qingfu Zhang 001; Yew-Soon Ong; Shunyu Yao 002; Haitao Liu 002; Jianping Luo (IEEE Trans. Cybern., 2023)

Thematic issue on advances in analysis and application of multi-objective memetic optimization algorithms. - Zhenkun Wang 001; Man-Fai Leung; Hangjun Che; Carlos A. Coello Coello (Memetic Comput., 2023)

Offline and Online Objective Reduction via Gaussian Mixture Model Clustering. - Genghui Li; Zhenkun Wang 001; Qingfu Zhang 001; Jianyong Sun (IEEE Trans. Evol. Comput., 2023)

Expensive Optimization via Surrogate-Assisted and Model-Free Evolutionary Optimization. - Genghui Li; Zhenkun Wang 001; Maoguo Gong (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Evolutionary algorithm with individual-distribution search strategy and regression-classification surrogates for expensive optimization. - Genghui Li; Lindong Xie; Zhenkun Wang 001; Huajun Wang; Maoguo Gong (Inf. Sci., 2023)

RL-CSL: A Combinatorial Optimization Method Using Reinforcement Learning and Contrastive Self-Supervised Learning. - Zhongju Yuan; Genghui Li; Zhenkun Wang 001; Jianyong Sun; Ran Cheng (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection. - Chinedu Innocent Nwoye; Tong Yu 009; Saurav Sharma; Aditya Murali; Deepak Alapatt; Armine Vardazaryan; Kun Yuan 004; Jonas Hajek; Wolfgang Reiter; Amine Yamlahi; Finn-Henri Smidt; Xiaoyang Zou; et al. (Medical Image Anal., 2023)

Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis. - Zhenkun Wang 001; Shuangchun Gui; Xinpeng Ding; Xiaowei Hu 001; Xiaowei Xu 004; Xiaomeng Li 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Differential evolution with an adaptive penalty coefficient mechanism and a search history exploitation mechanism. - Jiaqian Li; Genghui Li; Zhenkun Wang 001; Laizhong Cui (Expert Syst. Appl., 2023)

Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution. - Xin Liu 078; Jianyong Sun; Qingfu Zhang 001; Zhenkun Wang 001; Zongben Xu (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret. - Rui Sun; Zhi Zheng 009; Zhenkun Wang 001 (AAAI, 2024)

Decomposition-Based Memetic Algorithm for Multi-Objective Fleet Size and Mix Vehicle Routing Problem. - Yunpeng Ba; Ruihao Zheng; Zhenkun Wang 001 (CEC, 2024)

Smooth Tchebycheff Scalarization for Multi-Objective Optimization. - Xi Lin 001; Xiaoyuan Zhang; Zhiyuan Yang 003; Fei Liu 044; Zhenkun Wang 001; Qingfu Zhang 001 (ICML, 2024)

Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model. - Fei Liu 044; Xialiang Tong; Mingxuan Yuan; Xi Lin 001; Fu Luo; Zhenkun Wang 001; Zhichao Lu; Qingfu Zhang 001 (ICML, 2024)

DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems. - Zhi Zheng 009; Shunyu Yao 002; Zhenkun Wang 001; Xialiang Tong; Mingxuan Yuan; Ke Tang (ICML, 2024)

Prompt Learning for Generalized Vehicle Routing. - Fei Liu 044; Xi Lin 001; Weiduo Liao; Zhenkun Wang 001; Qingfu Zhang 001; Xialiang Tong; Mingxuan Yuan (IJCAI, 2024)

Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. - Fei Liu 044; Xi Lin 001; Zhenkun Wang 001; Qingfu Zhang 001; Xialiang Tong; Mingxuan Yuan (KDD, 2024)

Tail-Enhanced Representation Learning for Surgical Triplet Recognition. - Shuangchun Gui; Zhenkun Wang 001 (MICCAI (11), 2024)

Boundary Decomposition for Nadir Objective Vector Estimation. - Ruihao Zheng; Zhenkun Wang 001 (NeurIPS, 2024)

UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems. - Zhi Zheng 009; Changliang Zhou; Xialiang Tong; Mingxuan Yuan; Zhenkun Wang 001 (NeurIPS, 2024)

Selection Strategy Based on Proper Pareto Optimality in Evolutionary Multi-objective Optimization. - Kai Li 022; Kangnian Lin; Ruihao Zheng; Zhenkun Wang 001 (PPSN (4), 2024)

Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models. - Rui Zhang 042; Fei Liu 044; Xi Lin 001; Zhenkun Wang 001; Zhichao Lu; Qingfu Zhang 001 (PPSN (2), 2024)

An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search. - Fei Liu 044; Xialiang Tong; Mingxuan Yuan; Xi Lin 001; Fu Luo; Zhenkun Wang 001; Zhichao Lu; Qingfu Zhang 001 (CoRR, 2024)

Self-Improved Learning for Scalable Neural Combinatorial Optimization. - Fu Luo; Xi Lin 001; Zhenkun Wang 001; Xialiang Tong; Mingxuan Yuan; Qingfu Zhang 001 (CoRR, 2024)

Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization. - Changliang Zhou; Xi Lin 001; Zhenkun Wang 001; Xialiang Tong; Mingxuan Yuan; Qingfu Zhang 001 (CoRR, 2024)

LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch. - Xiaoyuan Zhang; Liang Zhao; Yingying Yu; Xi Lin 001; Zhenkun Wang 001; Han Zhao 002; Qingfu Zhang 001 (CoRR, 2024)

AutoTurb: Using Large Language Models for Automatic Algebraic Model Discovery of Turbulence Closure. - Yu Zhang 226; Kefeng Zheng; Fei Liu 044; Qingfu Zhang 001; Zhenkun Wang 001 (CoRR, 2024)

A Systematic Survey on Large Language Models for Algorithm Design. - Fei Liu 044; Yiming Yao; Ping Guo 007; Zhiyuan Yang 003; Zhe Zhao 008; Xi Lin 001; Xialiang Tong; Mingxuan Yuan; Zhichao Lu; Zhenkun Wang 001; Qingfu Zhang 001 (CoRR, 2024)

CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention. - Han Li; Fei Liu 044; Zhi Zheng 009; Yu Zhang 226; Zhenkun Wang 001 (CoRR, 2024)

LLM4AD: A Platform for Algorithm Design with Large Language Model. - Fei Liu 044; Rui Zhang 042; Zhuoliang Xie; Rui Sun; Kai Li 022; Xi Lin 001; Zhenkun Wang 001; Zhichao Lu; Qinyu Zhang 001 (CoRR, 2024)

Multi-objective evolutionary algorithm with evolutionary-status-driven environmental selection. - Kangnian Lin; Genghui Li; Qingyan Li; Zhenkun Wang 001; Hisao Ishibuchi; Hu Zhang 002 (Inf. Sci., 2024)

MOEA/D with customized replacement neighborhood and dynamic resource allocation for solving 3L-SDHVRP. - Han Li; Genghui Li; Qiaoyong Jiang; Jiashu Wang; Zhenkun Wang 001 (Swarm Evol. Comput., 2024)

Batch subproblem coevolution with gaussian process-driven linear models for expensive multi-objective optimization. - Zhenkun Wang 001; Yuanyao Chen; Genghui Li; Lindong Xie; Yu Zhang 226 (Swarm Evol. Comput., 2024)

Decomposition with adaptive composite norm for evolutionary multi-objective combinatorial optimization. - Ruihao Zheng; Yin Wu; Genghui Li; Yu Zhang 226; Zhenkun Wang 001 (Swarm Evol. Comput., 2024)

Pareto Improver: Learning Improvement Heuristics for Multi-Objective Route Planning. - Zhi Zheng 009; Shunyu Yao 002; Genghui Li; Linxi Han; Zhenkun Wang 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Objective Extraction for Simplifying Many-Objective Solution Sets. - Genghui Li; Zhenkun Wang 001; Jianyong Sun; Qingfu Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Multiobjective Combinatorial Optimization Using a Single Deep Reinforcement Learning Model. - Zhenkun Wang 001; Shunyu Yao 002; Genghui Li; Qingfu Zhang 001 (IEEE Trans. Cybern., 2024)

MT4MTL-KD: A Multi-Teacher Knowledge Distillation Framework for Triplet Recognition. - Shuangchun Gui; Zhenkun Wang 001; Jixiang Chen; Xun Zhou; Chen Zhang; Yi Cao (IEEE Trans. Medical Imaging, 2024)

Toward Evolutionary Multitask Convolutional Neural Architecture Search. - Xun Zhou; Zhenkun Wang 001; Liang Feng 001; Songbai Liu; Ka-Chun Wong; Kay Chen Tan (IEEE Trans. Evol. Comput., 2024)

Path Planning for Unmanned Aerial Vehicle via Off-Policy Reinforcement Learning With Enhanced Exploration. - Zhengjun Wang; Weifeng Gao; Genghui Li; Zhenkun Wang 001; Maoguo Gong (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Surrogate-Assisted Evolutionary Algorithm With Model and Infill Criterion Auto-Configuration. - Lindong Xie; Genghui Li; Zhenkun Wang 001; Laizhong Cui; Maoguo Gong (IEEE Trans. Evol. Comput., 2024)

Multi-objective decomposition evolutionary algorithm with objective modification-based dominance and external archive. - Zhenkun Wang 001; Qingyan Li; Genghui Li; Qingfu Zhang 001 (Appl. Soft Comput., 2024)

Destroy and Repair Using Hyper-Graphs for Routing. - Ke Li 001; Fei Liu 044; Zhenkun Wang 001; Qingfu Zhang 001 (AAAI, 2025)

Multi-Objective Evolution of Heuristic Using Large Language Model. - Shunyu Yao 002; Fei Liu 044; Xi Lin 001; Zhichao Lu; Zhenkun Wang 001; Qingfu Zhang 001 (AAAI, 2025)

Boundary Decomposition for Finding Nadir Objective Vector in Multi-Objective Discrete Optimization. - Ruihao Zheng; Zhenkun Wang 001 (AAAI, 2025)

LLM-Driven Neighborhood Search for Efficient Heuristic Design. - Zhuoliang Xie; Fei Liu 044; Zhenkun Wang 001; Qingfu Zhang 001 (CEC, 2025)

MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework. - Ping Guo 007; Cheng Gong; Xi Lin 001; Fei Liu 044; Zhichao Lu; Qingfu Zhang 001; Zhenkun Wang 001 (CVPR, 2025)

Large Language Model for Multiobjective Evolutionary Optimization. - Fei Liu 044; Xi Lin 001; Shunyu Yao 002; Zhenkun Wang 001; Xialiang Tong; Mingxuan Yuan; Qingfu Zhang 001 (EMO (2), 2025)

Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization. - Xi Lin 001; Yilu Liu 002; Xiaoyuan Zhang; Fei Liu 044; Zhenkun Wang 001; Qingfu Zhang 001 (ICLR, 2025)

Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems. - Fu Luo; Xi Lin 001; Yaoxin Wu; Zhenkun Wang 001; Xialiang Tong; Mingxuan Yuan; Qingfu Zhang 001 (ICLR, 2025)

Regularity-based evolutionary multi-objective optimization review. - Yulan Lu; Xueyi Guo; Jinggai Geng; Shuai Wang 050; Zhenkun Wang 001; Aimin Zhou; Jianyong Sun; Xinhui Si; Xin Sun; Hu Zhang 002 (Swarm Evol. Comput., 2025)

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design. - Zhi Zheng 009; Zhuoliang Xie; Zhenkun Wang 001; Bryan Hooi (CoRR, 2025)

Adaptive Multi/Many-Objective Transformation for Constrained Optimization. - Genghui Li; Zhenkun Wang 001; Weifeng Gao; Laizhong Cui; Qingfu Zhang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

A Flexible Ranking-Based Competitive Swarm Optimizer for Large-Scale Continuous Multiobjective Optimization. - Xiangzhou Gao; Shenmin Song; Hu Zhang 002; Zhenkun Wang 001 (IEEE Trans. Evol. Comput., 2025)

L2R: Learning to Reduce Search Space for Generalizable Neural Routing Solver. - Changliang Zhou; Xi Lin 001; Zhenkun Wang 001; Qingfu Zhang 001 (CoRR, 2025)

Customized Evolutionary Expensive Optimization: Efficient Search and Surrogate Strategies for Continuous and Categorical Variables. - Zhenkun Wang 001; Lindong Xie; Genghui Li; Weifeng Gao; Maoguo Gong; Ling Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Decoupling Constraint: Task Clone-Based Multitasking Optimization for Constrained Multiobjective Optimization. - Genghui Li; Zhenkun Wang 001; Weifeng Gao; Ling Wang 001 (IEEE Trans. Evol. Comput., 2025)

Weak Pareto Boundary: The Achilles' Heel of Evolutionary Multi-Objective Optimization. - Ruihao Zheng; Jingda Deng; Zhenkun Wang 001 (CoRR, 2025)

Learning to Insert for Constructive Neural Vehicle Routing Solver. - Fu Luo; Xi Lin 001; Mengyuan Zhong; Fei Liu 044; Zhenkun Wang 001; Jianyong Sun; Qingfu Zhang 001 (CoRR, 2025)

Enhanced Ideal Objective Vector Estimation for Evolutionary Multi-Objective Optimization. - Ruihao Zheng; Zhenkun Wang 001; Yin Wu; Maoguo Gong (CoRR, 2025)

Rethinking Neural Combinatorial Optimization for Vehicle Routing Problems with Different Constraint Tightness Degrees. - Fu Luo; Yaoxin Wu; Zhi Zheng 009; Zhenkun Wang 001 (CoRR, 2025)

Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning. - Yuanyao Chen; Rongsheng Chen; Fu Luo; Zhenkun Wang 001 (CoRR, 2025)

MTL-KD: Multi-Task Learning Via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver. - Yuepeng Zheng; Fu Luo; Zhenkun Wang 001; Yaoxin Wu; Yu Zhou (CoRR, 2025)

Large Language Model-Driven Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization. - Lindong Xie; Genghui Li; Zhenkun Wang 001; Edward Chung 001; Maoguo Gong (CoRR, 2025)

LRM-1B: Towards Large Routing Model. - Han Li; Fei Liu 044; Zhenkun Wang 001; Qingfu Zhang 001 (CoRR, 2025)

Multi-Objective Infeasibility Diagnosis for Routing Problems Using Large Language Models. - Kai Li 022; Ruihao Zheng; Xinye Hao; Zhenkun Wang 001 (CoRR, 2025)

Multiobjective Optimization Problem With Hardly Dominated Boundaries: Benchmark, Analysis, and Indicator-Based Algorithm. - Zhenkun Wang 001; Kangnian Lin; Genghui Li; Weifeng Gao (IEEE Trans. Evol. Comput., 2025)