Changhe Li - RankMe

117 papers A* 1A 2B 21C 1Misc 1Journal 55Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Algorithm 1060: EDOLAB, a Platform for Research and Education in Evolutionary Dynamic Optimization. ACM Trans. Math. Softw. Mai Peng, Delaram Yazdani, Danial Yazdani, Zeneng She, Wenjian Luo, Changhe Li, Juergen Branke, Trung Thanh Nguyen, Amir H. Gandomi, Shengxiang Yang, Yaochu Jin, Xin Yao
2026	J	`jnl`	Generating continuous multi-objective benchmark problems by the object-oriented method. Swarm Evol. Comput. Qingshan Tan, Changhe Li, Miqing Li, Shengxiang Yang
2026	J	`jnl`	RGBT tracking via supervised mutual guiding. Pattern Recognit. Lei Liu, Chenglong Li, Jin Tang, Changhe Li
2025	J	`jnl`	A Subspace Sparsity-Driven Knowledge Transfer Strategy for Dynamic Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. Guoyu Chen, Yinan Guo, Changhe Li, Feng Wang, Dunwei Gong, Liang Yuan
2025	—	`conf`	A customized MOEA/D with active element pattern surrogate model for direction finding array design. GECCO Companion Hanhua Zou, Ruwang Jiao, Fei Zhao, Changhe Li, Sanyou Zeng
2025	J	`jnl`	An Evolutionary Approach to Joint Latency and Reward Optimization for Block Verification in Blockchain Networks. IEEE Trans. Syst. Man Cybern. Syst. Shoufei Han, Xiaojing Liu, MengChu Zhou, Kun Zhu, Liang Zhao, Changhe Li
2025	J	`jnl`	Bridging the Gap Between Theory and Practice: Fitness Landscape Analysis of Real-World Problems with Nearest-Better Network. Inf. Yiya Diao, Changhe Li, Junchen Wang, Sanyou Zeng, Shengxiang Yang
2025	B	`conf`	Feasible Regions Identification based on Historical Solutions for Constrained Optimization Problems. CEC Mengli Shan, Changhe Li, Mai Peng, Xiaobo Liu, Michalis Mavrovouniotis, Shengxiang Yang
2025	J	`jnl`	Mask-Guided Vision Transformer for Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. Yuzhong Chen, Zhenxiang Xiao, Yi Pan, Lin Zhao, Haixing Dai, Zihao Wu, Changhe Li, Tuo Zhang, Changying Li, Dajiang Zhu, Tianming Liu, Xi Jiang
2025	J	`jnl`	Mitigating Selection Bias in Local Optima: A Meta-Analysis of Niching Methods in Continuous Optimization. Inf. Junchen Wang, Changhe Li, Yiya Diao
2025	J	`jnl`	Nearest-Better Network for Fitness Landscape Analysis of Continuous Optimization Problems. IEEE Trans. Evol. Comput. Yiya Diao, Changhe Li, Sanyou Zeng, Shengxiang Yang, Carlos A. Coello Coello
2025	J	`jnl`	Nearest-Better Network for Visualizing and Analyzing Combinatorial Optimization Problems: A Unified Tool. CoRR Yiya Diao, Changhe Li, Sanyou Zeng, Xinye Cai, Wenjian Luo, Shengxiang Yang, Carlos A. Coello Coello
2025	J	`jnl`	Optimization of start-up strategies of gas injection compressor in underground gas storage using deep reinforcement learning. Simul. Model. Pract. Theory Xingyu Zhao, Changhe Li, Pengzhi Lu, Wei Li, Weiwei Qiu, Wuchang Wang, Yuxing Li
2025	J	`jnl`	PORTAL: Controllable Landscape Generator for Continuous Optimization-Part I: Framework. CoRR Danial Yazdani, Mai Peng, Delaram Yazdani, Shima F. Yazdi, Mohammad Nabi Omidvar, Yuan Sun, Trung Thanh Nguyen, Changhe Li, Xiaodong Li
2025	J	`jnl`	Uncertainty estimation by boosting with Gaussian process for expensive optimization problems. Appl. Soft Comput. Hanhua Zou, Sanyou Zeng, Changhe Li, Ruwang Jiao, Fei Zhao
2024	J	`jnl`	A survey of machine learning and evolutionary computation for antenna modeling and optimization: Methods and challenges. Eng. Appl. Artif. Intell. Hanhua Zou, Sanyou Zeng, Changhe Li, Jingyu Ji
2024	A*	`conf`	Any-Stereo: Arbitrary Scale Disparity Estimation for Iterative Stereo Matching. AAAI Zhaohuai Liang, Changhe Li
2024	—	`conf`	Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution. MICCAI (7) Li Yang, Zhibin He, Tianyang Zhong, Changhe Li, Dajiang Zhu, Junwei Han, Tianming Liu, Tuo Zhang
2024	—	`conf`	Cross-Lingual Entity Alignment Model Based on Multi-entity Enhancement and Semantic Information. PRICAI (2) Changhe Li, Baohua Zhang, Chao Wang
2024	B	`conf`	Exchange Strategies for Multi-Colony Ant Algorithms in Dynamic Environments. CEC Michalis Mavrovouniotis, Changhe Li, Danial Yazdani, Diofantos G. Hadjimitsis
2024	—	`book`	Intelligent Optimization - Principles, Algorithms and Applications Changhe Li, Shoufei Han, Sanyou Zeng, Shengxiang Yang
2024	J	`jnl`	Learning to search promising regions by space partitioning for evolutionary methods. Swarm Evol. Comput. Hai Xia, Changhe Li, Qingshan Tan, Sanyou Zeng, Shengxiang Yang
2024	J	`jnl`	Nearest-Better Network-Assisted Fitness Landscape Analysis of Contaminant Source Identification in Water Distribution Network. Data Yiya Diao, Changhe Li, Sanyou Zeng, Shengxiang Yang
2023	B	`conf`	A Subspace-Based Non-Dominated Subset Selection Method. CEC Qingshan Tan, Changhe Li, Sanyou Zeng, Shengxiang Yang
2023	B	`conf`	A Test Suite and An Optimizer for Dietary Nutrition Optimization Problem: From Constrained Many-Objective Perspective. CEC Yaqi Ti, Changhe Li, Shengxiang Yang
2023	J	`jnl`	A framework of global exploration and local exploitation using surrogates for expensive optimization. Knowl. Based Syst. Caie Hu, Sanyou Zeng, Changhe Li
2023	J	`jnl`	An Uncertainty Measure for Prediction of Non-Gaussian Process Surrogates. Evol. Comput. Caie Hu, Sanyou Zeng, Changhe Li
2023	J	`jnl`	An experimental study on local and global optima of linear antenna array synthesis by using the sequential least squares programming. Appl. Soft Comput. Miao Gong, Fei Zhao, Sanyou Zeng, Changhe Li
2023	J	`jnl`	Contribution-Based Cooperative Co-Evolution With Adaptive Population Diversity for Large-Scale Global Optimization [Research Frontier]. IEEE Comput. Intell. Mag. Ming Yang, Jie Gao, Aimin Zhou, Changhe Li, Xin Yao
2023	J	`jnl`	Evolutionary Dynamic Optimization Laboratory: A MATLAB Optimization Platform for Education and Experimentation in Dynamic Environments. CoRR Mai Peng, Zeneng She, Delaram Yazdani, Danial Yazdani, Wenjian Luo, Changhe Li, Jürgen Branke, Trung Thanh Nguyen, Amir H. Gandomi, Yaochu Jin, Xin Yao
2023	J	`jnl`	History-Guided Hill Exploration for Evolutionary Computation. IEEE Trans. Evol. Comput. Junchen Wang, Changhe Li, Sanyou Zeng, Shengxiang Yang
2023	—	`conf`	Nearest better network for visualization of the fitness landscape. GECCO Companion Yiya Diao, Changhe Li, Sanyou Zeng, Shengxiang Yang
2023	J	`jnl`	On Nonstationary Gaussian Process Model for Solving Data-Driven Optimization Problems. IEEE Trans. Cybern. Caie Hu, Sanyou Zeng, Changhe Li, Fei Zhao
2023	—	`conf`	Prediction of Cognitive Scores by Joint Use of Movie-Watching fMRI Connectivity and Eye Tracking via Attention-CensNet. MICCAI (2) Jiaxing Gao, Lin Zhao, Tianyang Zhong, Changhe Li, Zhibin He, Yaonai Wei, Shu Zhang, Lei Guo, Tianming Liu, Junwei Han, Tuo Zhang
2023	J	`jnl`	Scalable GP with hyperparameters sharing based on transfer learning for solving expensive optimization problems. Appl. Soft Comput. Caie Hu, Sanyou Zeng, Changhe Li
2022	—	`conf`	A Multiple Ant Colony System for the Electric Vehicle Routing Problem with Time Windows. SSCI Michalis Mavrovouniotis, Georgios Ellinas, Changhe Li, Marios M. Polycarpou
2022	J	`jnl`	Benchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments. CoRR Wenjian Luo, Xin Lin, Changhe Li, Shengxiang Yang, Yuhui Shi
2022	J	`jnl`	Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution. CoRR Li Yang, Zhibin He, Changhe Li, Junwei Han, Dajiang Zhu, Tianming Liu, Tuo Zhang
2022	—	`conf`	Bridging Natruralistic Stimuli, Eye Movement And Brain Activity Via Cca And Locality Preserving Projection. ISBI Changhe Li, Jiaxing Gao, Zhibin He, Songyao Zhang, Yaonai Wei, Lei Du, Lei Guo, Junwei Han, Shu Zhang, Tuo Zhang
2022	J	`jnl`	CCFR3: A cooperative co-evolution with efficient resource allocation for large-scale global optimization. Expert Syst. Appl. Ming Yang, Aimin Zhou, Xiaofen Lu, Zhihua Cai, Changhe Li, Jing Guan
2022	J	`jnl`	Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning. CoRR Chong Ma, Lin Zhao, Yuzhong Chen, Lu Zhang, Zhenxiang Xiao, Haixing Dai, David Weizhong Liu, Zihao Wu, Zhengliang Liu, Sheng Wang, Jiaxing Gao, Changhe Li, Xi Jiang, Tuo Zhang, Qian Wang, Dinggang Shen, Dajiang Zhu, Tianming Liu
2022	B	`conf`	Hyperparameters Adaptive Sharing Based on Transfer Learning for Scalable GPs. CEC Caie Hu, Sanyou Zeng, Changhe Li
2022	B	`conf`	Learning to Search Promising Regions by a Monte-Carlo Tree Model. CEC Hai Xia, Changhe Li, Sanyou Zeng, Qingshan Tan, Junchen Wang, Shengxiang Yang
2022	J	`jnl`	Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning. CoRR Yuzhong Chen, Zhenxiang Xiao, Lin Zhao, Lu Zhang, Haixing Dai, David Weizhong Liu, Zihao Wu, Changhe Li, Tuo Zhang, Changying Li, Dajiang Zhu, Tianming Liu, Xi Jiang
2022	—	`conf`	Prediction of Cognitive Scores by Movie-Watching FMRI Connectivity and Eye Movement Via Spectral Graph Convolutions. ISBI Jiaxing Gao, Changhe Li, Zhibin He, Yaonai Wei, Lei Guo, Junwei Han, Shu Zhang, Tuo Zhang
2022	B	`conf`	Solving the Electric Capacitated Vehicle Routing Problem with Cargo Weight. CEC Michalis Mavrovouniotis, Changhe Li, Georgios Ellinas, Marios M. Polycarpou
2021	B	`conf`	A Novel Scalable Framework For Constructing Dynamic Multi-objective Optimization Problems. CEC Qingshan Tan, Changhe Li, Hai Xia, Sanyou Zeng, Shengxiang Yang
2021	B	`conf`	A Reinforcement-Learning-Based Evolutionary Algorithm Using Solution Space Clustering For Multimodal Optimization Problems. CEC Hai Xia, Changhe Li, Sanyou Zeng, Qingshan Tan, Junchen Wang, Shengxiang Yang
2021	—	`conf`	An Adaptive Evolutionary Algorithm for Bi- Level Multi-objective VRPs with Real-Time Traffic Conditions. SSCI Baojian Chen, Changhe Li, Sanyou Zeng, Shengxiang Yang, Michalis Mavrovouniotis
2021	—	`conf`	An Adaptive Model Management Strategy: Balancing Exploration and Exploitation. SSCI Caie Hu, Sanyou Zeng, Changhe Li
2021	J	`jnl`	An Efficient Recursive Differential Grouping for Large-Scale Continuous Problems. IEEE Trans. Evol. Comput. Ming Yang, Aimin Zhou, Changhe Li, Xin Yao
2021	J	`jnl`	Generalized Moving Peaks Benchmark. CoRR Danial Yazdani, Jürgen Branke, Mohammad Nabi Omidvar, Changhe Li, Michalis Mavrovouniotis, Trung Thanh Nguyen, Shengxiang Yang, Xin Yao
2021	J	`jnl`	Handling Constrained Many-Objective Optimization Problems via Problem Transformation. IEEE Trans. Cybern. Ruwang Jiao, Sanyou Zeng, Changhe Li, Shengxiang Yang, Yew-Soon Ong
2021	J	`jnl`	Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization. Inf. Sci. Ruwang Jiao, Sanyou Zeng, Changhe Li, Yew-Soon Ong
2020	J	`jnl`	Ant Colony Optimization Algorithms for Dynamic Optimization: A Case Study of the Dynamic Travelling Salesperson Problem [Research Frontier]. IEEE Comput. Intell. Mag. Michalis Mavrovouniotis, Shengxiang Yang, Mien Van, Changhe Li, Marios M. Polycarpou
2020	J	`jnl`	CCFR2: A more efficient cooperative co-evolutionary framework for large-scale global optimization. Inf. Sci. Ming Yang, Aimin Zhou, Changhe Li, Jing Guan, Xuesong Yan
2020	—	`conf`	Discussion on Teaching Reform of Computer Education Major Based on Information Key Competency. ICCSE Yan Liang, Changhe Li
2020	Misc	`conf`	Modeling and Evolutionary Optimization for Multi-objective Vehicle Routing Problem with Real-time Traffic Conditions. ICMLC Long Xiao, Changhe Li, Junchen Wang, Michalis Mavrovouniotis, Shengxiang Yang, Xiaorong Dan
2019	—	`conf`	A Novel Multi-objective Evolutionary Algorithm Based on Space Partitioning. ISICA Xiaofang Wu, Changhe Li, Sanyou Zeng, Shengxiang Yang
2019	J	`jnl`	A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization. Inf. Sci. Ruwang Jiao, Sanyou Zeng, Changhe Li, Yuhong Jiang, Yaochu Jin
2019	J	`jnl`	A feasible-ratio control technique for constrained optimization. Inf. Sci. Ruwang Jiao, Sanyou Zeng, Changhe Li
2019	J	`jnl`	An Open Framework for Constructing Continuous Optimization Problems. IEEE Trans. Cybern. Changhe Li, Trung Thanh Nguyen, Sanyou Zeng, Ming Yang, Min Wu
2019	J	`jnl`	Constrained optimisation by solving equivalent dynamic loosely-constrained multiobjective optimisation problem. Int. J. Bio Inspired Comput. Sanyou Zeng, Ruwang Jiao, Changhe Li, Rui Wang
2019	B	`conf`	Evolutionary Constrained Multi-objective Optimization using NSGA-II with Dynamic Constraint Handling. CEC Ruwang Jiao, Sanyou Zeng, Changhe Li, Witold Pedrycz
2019	B	`conf`	Memory-based multi-population genetic learning for dynamic shortest path problems. CEC Yiya Diao, Changhe Li, Sanyou Zeng, Michalis Mavrovouniotis, Shengxiang Yang
2019	J	`jnl`	Optimising discrete dynamic berth allocations in seaports using a Levy Flight based meta-heuristic. Swarm Evol. Comput. Ran Wang, Trung Thanh Nguyen, Changhe Li, Ian Jenkinson, Zaili Yang, Shayan Kavakeb
2019	—	`conf`	Parallel Ant Colony Optimization for the Electric Vehicle Routing Problem. SSCI Michalis Mavrovouniotis, Changhe Li, Georgios Ellinas, Marios M. Polycarpou
2018	J	`jnl`	A Supervised-Learning p-Norm Distance Metric for Hyperspectral Remote Sensing Image Classification. IEEE Geosci. Remote. Sens. Lett. Ming Yang, Changhe Li, Jing Guan, Xuesong Yan
2018	—	`conf`	An efficient nondominated sorting algorithm. GECCO (Companion) Junchen Wang, Changhe Li, Yiya Diao, Sanyou Zeng, Hui Wang
2018	—	`conf`	Dynamic constrained multi-objective evolutionary algorithms with a novel selection strategy for constrained optimization. GECCO (Companion) Ruwang Jiao, Sanyou Zeng, Changhe Li, Yuhong Jiang
2018	A	`conf`	Expected improvement of constraint violation for expensive constrained optimization. GECCO Ruwang Jiao, Sanyou Zeng, Changhe Li, Yuhong Jiang, Junchen Wang
2017	J	`jnl`	A General Framework of Dynamic Constrained Multiobjective Evolutionary Algorithms for Constrained Optimization. IEEE Trans. Cybern. Sanyou Zeng, Ruwang Jiao, Changhe Li, Xi Li, Jawdat S. Alkasassbeh
2017	—	`conf`	A Probabilistic Learning Algorithm for the Shortest Path Problem. SEAL Yiya Diao, Changhe Li, Yebin Ma, Junchen Wang, Xingang Zhou
2017	J	`jnl`	A survey of swarm intelligence for dynamic optimization: Algorithms and applications. Swarm Evol. Comput. Michalis Mavrovouniotis, Changhe Li, Shengxiang Yang
2017	J	`jnl`	Dynamic multi-objective evolutionary algorithms for single-objective optimization. Appl. Soft Comput. Ruwang Jiao, Sanyou Zeng, Jawdat S. Alkasassbeh, Changhe Li
2017	J	`jnl`	Efficient Resource Allocation in Cooperative Co-Evolution for Large-Scale Global Optimization. IEEE Trans. Evol. Comput. Ming Yang, Mohammad Nabi Omidvar, Changhe Li, Xiaodong Li, Zhihua Cai, Borhan Kazimipour, Xin Yao
2017	J	`jnl`	Many-objective optimization with dynamic constraint handling for constrained optimization problems. Soft Comput. Xi Li, Sanyou Zeng, Changhe Li, Jiantao Ma
2017	—	`conf`	Typical Constrained Optimization Formulation in Evolutionary Computation Not Suitable for Expensive Optimization. ISICA (1) Sanyou Zeng, Ruwang Jiao, Changhe Li, Bin Lan, Huanhuan Li, Jianqing Sun, Yongzhi Sun
2016	J	`jnl`	An Adaptive Multipopulation Framework for Locating and Tracking Multiple Optima. IEEE Trans. Evol. Comput. Changhe Li, Trung Thanh Nguyen, Ming Yang, Michalis Mavrovouniotis, Shengxiang Yang
2016	—	`conf`	An Efficient Benchmark Generator for Dynamic Optimization Problems. BIC-TA (2) Changhe Li
2016	—	`conf`	Benchmarking Dynamic Three-Dimensional Bin Packing Problems Using Discrete-Event Simulation. EvoApplications (2) Ran Wang, Trung Thanh Nguyen, Shayan Kavakeb, Zaili Yang, Changhe Li
2016	B	`conf`	Differential evolution with auto-enhanced population diversity: The experiments on the CEC'2016 competition. CEC Ming Yang, Jing Guan, Changhe Li
2016	B	`conf`	Memory-based statistical learning for the travelling salesman problem. CEC Yong Xia, Changhe Li
2016	C	`conf`	Shape Formation in Games: A Probability-Based Evolutionary Approach. CIS Caitao Zhan, Changhe Li
2015	B	`conf`	A modified cuckoo search algorithm for flow shop scheduling problem with blocking. CEC Hui Wang, Wenjun Wang, Hui Sun, Changhe Li, Shahryar Rahnamayan, Yong Liu
2015	J	`jnl`	Differential Evolution With Auto-Enhanced Population Diversity. IEEE Trans. Cybern. Ming Yang, Changhe Li, Zhihua Cai, Jing Guan
2015	J	`jnl`	Multi-population methods in unconstrained continuous dynamic environments: The challenges. Inf. Sci. Changhe Li, Trung Thanh Nguyen, Ming Yang, Shengxiang Yang, Sanyou Zeng
2014	—	`conf`	A dimensional-level adaptive differential evolutionary algorithm for continuous optimization. GECCO (Companion) Ming Yang, Jing Guan, Zhihua Cai, Changhe Li
2014	J	`jnl`	An Adaptive Multi-Swarm Optimizer for Dynamic Optimization Problems. Evol. Comput. Changhe Li, Shengxiang Yang, Ming Yang
2014	B	`conf`	An improved JADE algorithm for global optimization. IEEE Congress on Evolutionary Computation Ming Yang, Zhihua Cai, Changhe Li, Jing Guan
2014	J	`jnl`	Dynamic and random differential evolution solving constrained optimisation problems. Int. J. Comput. Sci. Math. Qing Zhang, Sanyou Zeng, Changhe Li
2014	—	`conf`	Three New Heuristic Strategies for Solving Travelling Salesman Problem. ICSI (1) Yong Xia, Changhe Li, Sanyou Zeng
2013	A	`conf`	An improved adaptive differential evolution algorithm with population adaptation. GECCO Ming Yang, Zhihua Cai, Changhe Li, Jing Guan
2013	J	`jnl`	Diversity enhanced particle swarm optimization with neighborhood search. Inf. Sci. Hui Wang, Hui Sun, Changhe Li, Shahryar Rahnamayan, Jeng-Shyang Pan
2013	—	`conf`	Evolutionary design of a wide-band twisted dipole antenna for X-band application. ICES Zhu Liu, Sanyou Zeng, Yuhong Jiang, Changhe Li, Ni Ouyang
2012	J	`jnl`	A General Framework of Multipopulation Methods With Clustering in Undetectable Dynamic Environments. IEEE Trans. Evol. Comput. Changhe Li, Shengxiang Yang
2012	J	`jnl`	A Self-Learning Particle Swarm Optimizer for Global Optimization Problems. IEEE Trans. Syst. Man Cybern. Part B Changhe Li, Shengxiang Yang, Trung Thanh Nguyen
2012	B	`conf`	Maintaining diversity by clustering in dynamic environments. IEEE Congress on Evolutionary Computation Changhe Li, Shengxiang Yang, Ming Yang
2011	—	`—`	Particle swarm optimization in stationary and dynamic environments. Changhe Li
2010	J	`jnl`	A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments. IEEE Trans. Evol. Comput. Shengxiang Yang, Changhe Li
2010	—	`conf`	A Directed Mutation Operator for Real Coded Genetic Algorithms. EvoApplications (1) Imtiaz Ali Korejo, Shengxiang Yang, Changhe Li
2010	B	`conf`	Adaptive learning particle swarm optimizer-II for global optimization. IEEE Congress on Evolutionary Computation Changhe Li, Shengxiang Yang
2009	—	`conf`	A Particle Swarm Optimization Algorithm Based on Genetic Selection Strategy. ISNN (3) Qin Tang, Jianyou Zeng, Hui Li, Changhe Li, Yong Liu
2009	B	`conf`	A clustering particle swarm optimizer for dynamic optimization. IEEE Congress on Evolutionary Computation Changhe Li, Shengxiang Yang
2009	B	`conf`	An adaptive learning particle swarm optimizer for function optimization. IEEE Congress on Evolutionary Computation Changhe Li, Shengxiang Yang
2008	—	`conf`	A Generalized Approach to Construct Benchmark Problems for Dynamic Optimization. SEAL Changhe Li, Shengxiang Yang
2008	—	`conf`	An Island Based Hybrid Evolutionary Algorithm for Optimization. SEAL Changhe Li, Shengxiang Yang
2008	B	`conf`	Convergence properties of E-optimality algorithms for Many objective Optimization Problems. IEEE Congress on Evolutionary Computation Zhuo Kang, Lishan Kang, Changhe Li, Yuping Chen, Minzhong Liu
2008	—	`conf`	Fast Multi-Swarm Optimization for Dynamic Optimization Problems. ICNC (7) Changhe Li, Shengxiang Yang
2008	—	`conf`	Theoretical Analysis and Experimental Evaluation Surface Morphology Integration of Grinding and Precision Finishing. PACIIA (2) Yali Hou, Changhe Li, Yucheng Ding
2007	—	`conf`	A Fast Particle Swarm Optimization Algorithm with Cauchy Mutation and Natural Selection Strategy. ISICA Changhe Li, Yong Liu, Aimin Zhou, Lishan Kang, Hui Wang
2007	—	`conf`	A Hybrid Particle Swarm Algorithm with Cauchy Mutation. SIS Hui Wang, Yong Liu, Changhe Li, Sanyou Zeng
2007	—	`conf`	A New Evolutionary Decision Theory for Many-Objective Optimization Problems. ISICA Zhuo Kang, Lishan Kang, Xiufen Zou, Minzhong Liu, Changhe Li, Ming Yang, Yan Li, Yuping Chen, Sanyou Zeng
2007	—	`conf`	Fast Multi-swarm Optimization with Cauchy Mutation and Crossover Operation. ISICA Qing Zhang, Changhe Li, Yong Liu, Lishan Kang
2007	B	`conf`	Opposition-based particle swarm algorithm with cauchy mutation. IEEE Congress on Evolutionary Computation Hui Wang, Hui Li, Yong Liu, Changhe Li, Sanyou Zeng
2006	—	`conf`	A New Approach to Solving Dynamic Traveling Salesman Problems. SEAL Changhe Li, Ming Yang, Lishan Kang
2006	—	`conf`	Material Removal Mechanisms Analysis in the Finishing Machining of Engineering Ceramics. PROLAMAT Changhe Li, Guangqi Cai