Material Removal Mechanisms Analysis in the Finishing Machining of Engineering Ceramics. - Changhe Li; Guangqi Cai (PROLAMAT, 2006)

A New Approach to Solving Dynamic Traveling Salesman Problems. - Changhe Li; Ming Yang 003; Lishan Kang (SEAL, 2006)

Opposition-based particle swarm algorithm with cauchy mutation. - Hui Wang 002; Hui Li; Yong Liu 012; Changhe Li; Sanyou Zeng (IEEE Congress on Evolutionary Computation, 2007)

A New Evolutionary Decision Theory for Many-Objective Optimization Problems. - Zhuo Kang; Lishan Kang; Xiufen Zou; Minzhong Liu; Changhe Li; Ming Yang 003; Yan Li; Yuping Chen; Sanyou Zeng (ISICA, 2007)

A Fast Particle Swarm Optimization Algorithm with Cauchy Mutation and Natural Selection Strategy. - Changhe Li; Yong Liu 012; Aimin Zhou; Lishan Kang; Hui Wang 002 (ISICA, 2007)

Fast Multi-swarm Optimization with Cauchy Mutation and Crossover Operation. - Qing Zhang; Changhe Li; Yong Liu 012; Lishan Kang (ISICA, 2007)

A Hybrid Particle Swarm Algorithm with Cauchy Mutation. - Hui Wang 002; Yong Liu 012; Changhe Li; Sanyou Zeng (SIS, 2007)

Convergence properties of E-optimality algorithms for Many objective Optimization Problems. - Zhuo Kang; Lishan Kang; Changhe Li; Yuping Chen; Minzhong Liu (IEEE Congress on Evolutionary Computation, 2008)

Fast Multi-Swarm Optimization for Dynamic Optimization Problems. - Changhe Li; Shengxiang Yang (ICNC (7), 2008)

Theoretical Analysis and Experimental Evaluation Surface Morphology Integration of Grinding and Precision Finishing. - Yali Hou; Changhe Li; Yucheng Ding (PACIIA (2), 2008)

An Island Based Hybrid Evolutionary Algorithm for Optimization. - Changhe Li; Shengxiang Yang (SEAL, 2008)

A Generalized Approach to Construct Benchmark Problems for Dynamic Optimization. - Changhe Li; Shengxiang Yang (SEAL, 2008)

An adaptive learning particle swarm optimizer for function optimization. - Changhe Li; Shengxiang Yang (IEEE Congress on Evolutionary Computation, 2009)

A clustering particle swarm optimizer for dynamic optimization. - Changhe Li; Shengxiang Yang (IEEE Congress on Evolutionary Computation, 2009)

A Particle Swarm Optimization Algorithm Based on Genetic Selection Strategy. - Qin Tang; Jianyou Zeng; Hui Li; Changhe Li; Yong Liu (ISNN (3), 2009)

Adaptive learning particle swarm optimizer-II for global optimization. - Changhe Li; Shengxiang Yang (IEEE Congress on Evolutionary Computation, 2010)

A Directed Mutation Operator for Real Coded Genetic Algorithms. - Imtiaz Ali Korejo; Shengxiang Yang; Changhe Li (EvoApplications (1), 2010)

A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments. - Shengxiang Yang; Changhe Li (IEEE Trans. Evol. Comput., 2010)

Particle swarm optimization in stationary and dynamic environments. - Changhe Li (2011)

Maintaining diversity by clustering in dynamic environments. - Changhe Li; Shengxiang Yang; Ming Yang 003 (IEEE Congress on Evolutionary Computation, 2012)

A General Framework of Multipopulation Methods With Clustering in Undetectable Dynamic Environments. - Changhe Li; Shengxiang Yang (IEEE Trans. Evol. Comput., 2012)

A Self-Learning Particle Swarm Optimizer for Global Optimization Problems. - Changhe Li; Shengxiang Yang; Trung Thanh Nguyen 002 (IEEE Trans. Syst. Man Cybern. Part B, 2012)

An improved adaptive differential evolution algorithm with population adaptation. - Ming Yang 003; Zhihua Cai; Changhe Li; Jing Guan (GECCO, 2013)

Evolutionary design of a wide-band twisted dipole antenna for X-band application. - Zhu Liu 002; Sanyou Zeng; Yuhong Jiang; Changhe Li; Ni Ouyang (ICES, 2013)

Diversity enhanced particle swarm optimization with neighborhood search. - Hui Wang 002; Hui Sun 001; Changhe Li; Shahryar Rahnamayan; Jeng-Shyang Pan 001 (Inf. Sci., 2013)

An improved JADE algorithm for global optimization. - Ming Yang 003; Zhihua Cai; Changhe Li; Jing Guan (IEEE Congress on Evolutionary Computation, 2014)

A dimensional-level adaptive differential evolutionary algorithm for continuous optimization. - Ming Yang 003; Jing Guan; Zhihua Cai; Changhe Li (GECCO (Companion), 2014)

Three New Heuristic Strategies for Solving Travelling Salesman Problem. - Yong Xia; Changhe Li; Sanyou Zeng (ICSI (1), 2014)

An Adaptive Multi-Swarm Optimizer for Dynamic Optimization Problems. - Changhe Li; Shengxiang Yang; Ming Yang 003 (Evol. Comput., 2014)

Dynamic and random differential evolution solving constrained optimisation problems. - Qing Zhang 018; Sanyou Zeng; Changhe Li (Int. J. Comput. Sci. Math., 2014)

A modified cuckoo search algorithm for flow shop scheduling problem with blocking. - Hui Wang 002; Wenjun Wang 001; Hui Sun 001; Changhe Li; Shahryar Rahnamayan; Yong Liu 012 (CEC, 2015)

Multi-population methods in unconstrained continuous dynamic environments: The challenges. - Changhe Li; Trung Thanh Nguyen 002; Ming Yang 003; Shengxiang Yang; Sanyou Zeng (Inf. Sci., 2015)

Differential Evolution With Auto-Enhanced Population Diversity. - Ming Yang 003; Changhe Li; Zhihua Cai; Jing Guan (IEEE Trans. Cybern., 2015)

An Efficient Benchmark Generator for Dynamic Optimization Problems. - Changhe Li (BIC-TA (2), 2016)

Memory-based statistical learning for the travelling salesman problem. - Yong Xia; Changhe Li (CEC, 2016)

Differential evolution with auto-enhanced population diversity: The experiments on the CEC'2016 competition. - Ming Yang 003; Jing Guan; Changhe Li (CEC, 2016)

Shape Formation in Games: A Probability-Based Evolutionary Approach. - Caitao Zhan; Changhe Li (CIS, 2016)

Benchmarking Dynamic Three-Dimensional Bin Packing Problems Using Discrete-Event Simulation. - Ran Wang; Trung Thanh Nguyen 002; Shayan Kavakeb; Zaili Yang; Changhe Li (EvoApplications (2), 2016)

An Adaptive Multipopulation Framework for Locating and Tracking Multiple Optima. - Changhe Li; Trung Thanh Nguyen 002; Ming Yang 003; Michalis Mavrovouniotis; Shengxiang Yang (IEEE Trans. Evol. Comput., 2016)

Typical Constrained Optimization Formulation in Evolutionary Computation Not Suitable for Expensive Optimization. - Sanyou Zeng; Ruwang Jiao; Changhe Li; Bin Lan; Huanhuan Li; Jianqing Sun; Yongzhi Sun (ISICA (1), 2017)

A Probabilistic Learning Algorithm for the Shortest Path Problem. - Yiya Diao; Changhe Li; Yebin Ma; Junchen Wang; Xingang Zhou (SEAL, 2017)

Dynamic multi-objective evolutionary algorithms for single-objective optimization. - Ruwang Jiao; Sanyou Zeng; Jawdat S. Alkasassbeh; Changhe Li (Appl. Soft Comput., 2017)

Many-objective optimization with dynamic constraint handling for constrained optimization problems. - Xi Li 019; Sanyou Zeng; Changhe Li; Jiantao Ma (Soft Comput., 2017)

A survey of swarm intelligence for dynamic optimization: Algorithms and applications. - Michalis Mavrovouniotis; Changhe Li; Shengxiang Yang (Swarm Evol. Comput., 2017)

A General Framework of Dynamic Constrained Multiobjective Evolutionary Algorithms for Constrained Optimization. - Sanyou Zeng; Ruwang Jiao; Changhe Li; Xi Li 019; Jawdat S. Alkasassbeh (IEEE Trans. Cybern., 2017)

Efficient Resource Allocation in Cooperative Co-Evolution for Large-Scale Global Optimization. - Ming Yang 003; Mohammad Nabi Omidvar; Changhe Li; Xiaodong Li 001; Zhihua Cai; Borhan Kazimipour; Xin Yao 001 (IEEE Trans. Evol. Comput., 2017)

Dynamic constrained multi-objective evolutionary algorithms with a novel selection strategy for constrained optimization. - Ruwang Jiao; Sanyou Zeng; Changhe Li; Yuhong Jiang (GECCO (Companion), 2018)

Expected improvement of constraint violation for expensive constrained optimization. - Ruwang Jiao; Sanyou Zeng; Changhe Li; Yuhong Jiang; Junchen Wang (GECCO, 2018)

An efficient nondominated sorting algorithm. - Junchen Wang; Changhe Li; Yiya Diao; Sanyou Zeng; Hui Wang 002 (GECCO (Companion), 2018)

A Supervised-Learning p-Norm Distance Metric for Hyperspectral Remote Sensing Image Classification. - Ming Yang 003; Changhe Li; Jing Guan; Xuesong Yan 001 (IEEE Geosci. Remote. Sens. Lett., 2018)

Memory-based multi-population genetic learning for dynamic shortest path problems. - Yiya Diao; Changhe Li; Sanyou Zeng; Michalis Mavrovouniotis; Shengxiang Yang (CEC, 2019)

Evolutionary Constrained Multi-objective Optimization using NSGA-II with Dynamic Constraint Handling. - Ruwang Jiao; Sanyou Zeng; Changhe Li; Witold Pedrycz (CEC, 2019)

A Novel Multi-objective Evolutionary Algorithm Based on Space Partitioning. - Xiaofang Wu; Changhe Li; Sanyou Zeng; Shengxiang Yang (ISICA, 2019)

Parallel Ant Colony Optimization for the Electric Vehicle Routing Problem. - Michalis Mavrovouniotis; Changhe Li; Georgios Ellinas; Marios M. Polycarpou (SSCI, 2019)

Constrained optimisation by solving equivalent dynamic loosely-constrained multiobjective optimisation problem. - Sanyou Zeng; Ruwang Jiao; Changhe Li; Rui Wang 017 (Int. J. Bio Inspired Comput., 2019)

A feasible-ratio control technique for constrained optimization. - Ruwang Jiao; Sanyou Zeng; Changhe Li (Inf. Sci., 2019)

A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization. - Ruwang Jiao; Sanyou Zeng; Changhe Li; Yuhong Jiang; Yaochu Jin (Inf. Sci., 2019)

Optimising discrete dynamic berth allocations in seaports using a Levy Flight based meta-heuristic. - Ran Wang; Trung Thanh Nguyen 002; Changhe Li; Ian Jenkinson; Zaili Yang; Shayan Kavakeb (Swarm Evol. Comput., 2019)

An Open Framework for Constructing Continuous Optimization Problems. - Changhe Li; Trung Thanh Nguyen 002; Sanyou Zeng; Ming Yang 003; Min Wu 002 (IEEE Trans. Cybern., 2019)

Discussion on Teaching Reform of Computer Education Major Based on Information Key Competency. - Yan Liang; Changhe Li (ICCSE, 2020)

Modeling and Evolutionary Optimization for Multi-objective Vehicle Routing Problem with Real-time Traffic Conditions. - Long Xiao; Changhe Li; Junchen Wang; Michalis Mavrovouniotis; Shengxiang Yang; Xiaorong Dan (ICMLC, 2020)

Ant Colony Optimization Algorithms for Dynamic Optimization: A Case Study of the Dynamic Travelling Salesperson Problem [Research Frontier]. - Michalis Mavrovouniotis; Shengxiang Yang; Mien Van; Changhe Li; Marios M. Polycarpou (IEEE Comput. Intell. Mag., 2020)

CCFR2: A more efficient cooperative co-evolutionary framework for large-scale global optimization. - Ming Yang 003; Aimin Zhou; Changhe Li; Jing Guan; Xuesong Yan 001 (Inf. Sci., 2020)

A Novel Scalable Framework For Constructing Dynamic Multi-objective Optimization Problems. - Qingshan Tan; Changhe Li; Hai Xia 001; Sanyou Zeng; Shengxiang Yang (CEC, 2021)

A Reinforcement-Learning-Based Evolutionary Algorithm Using Solution Space Clustering For Multimodal Optimization Problems. - Hai Xia 001; Changhe Li; Sanyou Zeng; Qingshan Tan; Junchen Wang; Shengxiang Yang (CEC, 2021)

An Adaptive Evolutionary Algorithm for Bi- Level Multi-objective VRPs with Real-Time Traffic Conditions. - Baojian Chen; Changhe Li; Sanyou Zeng; Shengxiang Yang; Michalis Mavrovouniotis (SSCI, 2021)

An Adaptive Model Management Strategy: Balancing Exploration and Exploitation. - Caie Hu; Sanyou Zeng; Changhe Li (SSCI, 2021)

Generalized Moving Peaks Benchmark. - Danial Yazdani; Jürgen Branke; Mohammad Nabi Omidvar; Changhe Li; Michalis Mavrovouniotis; Trung Thanh Nguyen 002; Shengxiang Yang; Xin Yao 001 (CoRR, 2021)

Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization. - Ruwang Jiao; Sanyou Zeng; Changhe Li; Yew-Soon Ong (Inf. Sci., 2021)

Handling Constrained Many-Objective Optimization Problems via Problem Transformation. - Ruwang Jiao; Sanyou Zeng; Changhe Li; Shengxiang Yang; Yew-Soon Ong (IEEE Trans. Cybern., 2021)

An Efficient Recursive Differential Grouping for Large-Scale Continuous Problems. - Ming Yang 003; Aimin Zhou; Changhe Li; Xin Yao 001 (IEEE Trans. Evol. Comput., 2021)

Hyperparameters Adaptive Sharing Based on Transfer Learning for Scalable GPs. - Caie Hu; Sanyou Zeng; Changhe Li (CEC, 2022)

Solving the Electric Capacitated Vehicle Routing Problem with Cargo Weight. - Michalis Mavrovouniotis; Changhe Li; Georgios Ellinas; Marios M. Polycarpou (CEC, 2022)

Learning to Search Promising Regions by a Monte-Carlo Tree Model. - Hai Xia 001; Changhe Li; Sanyou Zeng; Qingshan Tan; Junchen Wang; Shengxiang Yang (CEC, 2022)

Prediction of Cognitive Scores by Movie-Watching FMRI Connectivity and Eye Movement Via Spectral Graph Convolutions. - Jiaxing Gao; Changhe Li; Zhibin He; Yaonai Wei; Lei Guo 002; Junwei Han 001; Shu Zhang 001; Tuo Zhang (ISBI, 2022)

Bridging Natruralistic Stimuli, Eye Movement And Brain Activity Via Cca And Locality Preserving Projection. - Changhe Li; Jiaxing Gao; Zhibin He; Songyao Zhang; Yaonai Wei; Lei Du 001; Lei Guo 002; Junwei Han 001; Shu Zhang 001; Tuo Zhang (ISBI, 2022)

A Multiple Ant Colony System for the Electric Vehicle Routing Problem with Time Windows. - Michalis Mavrovouniotis; Georgios Ellinas; Changhe Li; Marios M. Polycarpou (SSCI, 2022)

Benchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments. - Wenjian Luo; Xin Lin 004; Changhe Li; Shengxiang Yang; Yuhui Shi 001 (CoRR, 2022)

Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning. - Yuzhong Chen; Zhenxiang Xiao; Lin Zhao 004; Lu Zhang 050; Haixing Dai; David Weizhong Liu; Zihao Wu 001; Changhe Li; Tuo Zhang; Changying Li; Dajiang Zhu; Tianming Liu 001; et al. (CoRR, 2022)

Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution. - Li Yang; Zhibin He; Changhe Li; Junwei Han 001; Dajiang Zhu; Tianming Liu 001; Tuo Zhang (CoRR, 2022)

Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning. - Chong Ma; Lin Zhao 004; Yuzhong Chen; Lu Zhang 050; Zhenxiang Xiao; Haixing Dai; David Weizhong Liu; Zihao Wu 001; Zhengliang Liu; Sheng Wang 014; Jiaxing Gao; Changhe Li; et al. (CoRR, 2022)

CCFR3: A cooperative co-evolution with efficient resource allocation for large-scale global optimization. - Ming Yang 003; Aimin Zhou; Xiaofen Lu; Zhihua Cai; Changhe Li; Jing Guan (Expert Syst. Appl., 2022)

A Subspace-Based Non-Dominated Subset Selection Method. - Qingshan Tan; Changhe Li; Sanyou Zeng; Shengxiang Yang (CEC, 2023)

A Test Suite and An Optimizer for Dietary Nutrition Optimization Problem: From Constrained Many-Objective Perspective. - Yaqi Ti; Changhe Li; Shengxiang Yang (CEC, 2023)

Nearest better network for visualization of the fitness landscape. - Yiya Diao; Changhe Li; Sanyou Zeng; Shengxiang Yang (GECCO Companion, 2023)

Prediction of Cognitive Scores by Joint Use of Movie-Watching fMRI Connectivity and Eye Tracking via Attention-CensNet. - Jiaxing Gao; Lin Zhao 004; Tianyang Zhong; Changhe Li; Zhibin He; Yaonai Wei; Shu Zhang 001; Lei Guo 002; Tianming Liu 001; Junwei Han 001; Tuo Zhang (MICCAI (2), 2023)

Evolutionary Dynamic Optimization Laboratory: A MATLAB Optimization Platform for Education and Experimentation in Dynamic Environments. - Mai Peng; Zeneng She; Delaram Yazdani; Danial Yazdani; Wenjian Luo; Changhe Li; Jürgen Branke; Trung Thanh Nguyen 002; Amir H. Gandomi; Yaochu Jin; Xin Yao 001 (CoRR, 2023)

An Uncertainty Measure for Prediction of Non-Gaussian Process Surrogates. - Caie Hu; Sanyou Zeng; Changhe Li (Evol. Comput., 2023)

On Nonstationary Gaussian Process Model for Solving Data-Driven Optimization Problems. - Caie Hu; Sanyou Zeng; Changhe Li; Fei Zhao (IEEE Trans. Cybern., 2023)

Contribution-Based Cooperative Co-Evolution With Adaptive Population Diversity for Large-Scale Global Optimization [Research Frontier]. - Ming Yang 003; Jie Gao; Aimin Zhou; Changhe Li; Xin Yao 001 (IEEE Comput. Intell. Mag., 2023)

An experimental study on local and global optima of linear antenna array synthesis by using the sequential least squares programming. - Miao Gong; Fei Zhao; Sanyou Zeng; Changhe Li (Appl. Soft Comput., 2023)

Scalable GP with hyperparameters sharing based on transfer learning for solving expensive optimization problems. - Caie Hu; Sanyou Zeng; Changhe Li (Appl. Soft Comput., 2023)

A framework of global exploration and local exploitation using surrogates for expensive optimization. - Caie Hu; Sanyou Zeng; Changhe Li (Knowl. Based Syst., 2023)

History-Guided Hill Exploration for Evolutionary Computation. - Junchen Wang; Changhe Li; Sanyou Zeng; Shengxiang Yang (IEEE Trans. Evol. Comput., 2023)

Intelligent Optimization - Principles, Algorithms and Applications - Changhe Li; Shoufei Han; Sanyou Zeng; Shengxiang Yang (Springer, 2024)

Any-Stereo: Arbitrary Scale Disparity Estimation for Iterative Stereo Matching. - Zhaohuai Liang; Changhe Li (AAAI, 2024)

Exchange Strategies for Multi-Colony Ant Algorithms in Dynamic Environments. - Michalis Mavrovouniotis; Changhe Li; Danial Yazdani; Diofantos G. Hadjimitsis (CEC, 2024)

Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution. - Li Yang; Zhibin He; Tianyang Zhong; Changhe Li; Dajiang Zhu; Junwei Han 001; Tianming Liu 001; Tuo Zhang (MICCAI (7), 2024)

Cross-Lingual Entity Alignment Model Based on Multi-entity Enhancement and Semantic Information. - Changhe Li; Baohua Zhang; Chao Wang (PRICAI (2), 2024)

Nearest-Better Network-Assisted Fitness Landscape Analysis of Contaminant Source Identification in Water Distribution Network. - Yiya Diao; Changhe Li; Sanyou Zeng; Shengxiang Yang (Data, 2024)

A survey of machine learning and evolutionary computation for antenna modeling and optimization: Methods and challenges. - Hanhua Zou; Sanyou Zeng; Changhe Li; Jingyu Ji (Eng. Appl. Artif. Intell., 2024)

Learning to search promising regions by space partitioning for evolutionary methods. - Hai Xia 001; Changhe Li; Qingshan Tan; Sanyou Zeng; Shengxiang Yang (Swarm Evol. Comput., 2024)

Feasible Regions Identification based on Historical Solutions for Constrained Optimization Problems. - Mengli Shan; Changhe Li; Mai Peng; Xiaobo Liu; Michalis Mavrovouniotis; Shengxiang Yang (CEC, 2025)

Uncertainty estimation by boosting with Gaussian process for expensive optimization problems. - Hanhua Zou; Sanyou Zeng; Changhe Li; Ruwang Jiao; Fei Zhao (Appl. Soft Comput., 2025)

Optimization of start-up strategies of gas injection compressor in underground gas storage using deep reinforcement learning. - Xingyu Zhao; Changhe Li; Pengzhi Lu; Wei Li; Weiwei Qiu; Wuchang Wang; Yuxing Li (Simul. Model. Pract. Theory, 2025)

Mask-Guided Vision Transformer for Few-Shot Learning. - Yuzhong Chen; Zhenxiang Xiao; Yi Pan 001; Lin Zhao 004; Haixing Dai; Zihao Wu 001; Changhe Li; Tuo Zhang; Changying Li; Dajiang Zhu; Tianming Liu 001; Xi Jiang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Nearest-Better Network for Visualizing and Analyzing Combinatorial Optimization Problems: A Unified Tool. - Yiya Diao; Changhe Li; Sanyou Zeng; Xinye Cai; Wenjian Luo; Shengxiang Yang; Carlos A. Coello Coello (CoRR, 2025)