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Changhe Li
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2020 – today
- 2024
- [b2]Changhe Li, Shoufei Han
, Sanyou Zeng, Shengxiang Yang
Intelligent Optimization - Principles, Algorithms and Applications. Springer 2024, ISBN 978-981-97-3285-2, pp. 1-361 - [j35]Hanhua Zou
A survey of machine learning and evolutionary computation for antenna modeling and optimization: Methods and challenges. Eng. Appl. Artif. Intell. 138: 109381 (2024) - [j34]Hai Xia
Learning to search promising regions by space partitioning for evolutionary methods. Swarm Evol. Comput. 91: 101726 (2024) - [c57]Zhaohuai Liang, Changhe Li:
Any-Stereo: Arbitrary Scale Disparity Estimation for Iterative Stereo Matching. AAAI 2024: 3333-3341 - [c56]Michalis Mavrovouniotis, Changhe Li, Danial Yazdani, Diofantos G. Handjimitsis:
Exchange Strategies for Multi-Colony Ant Algorithms in Dynamic Environments. CEC 2024: 1-8 - [c55]Li Yang, Zhibin He, Tianyang Zhong, Changhe Li, Dajiang Zhu, Junwei Han, Tianming Liu, Tuo Zhang:
Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution. MICCAI (7) 2024: 140-149 - 2023
- [j33]Miao Gong
An experimental study on local and global optima of linear antenna array synthesis by using the sequential least squares programming. Appl. Soft Comput. 148: 110859 (2023) - [j32]Caie Hu, Sanyou Zeng, Changhe Li:
Scalable GP with hyperparameters sharing based on transfer learning for solving expensive optimization problems. Appl. Soft Comput. 148: 110866 (2023) - [j31]Ming Yang
Contribution-Based Cooperative Co-Evolution With Adaptive Population Diversity for Large-Scale Global Optimization [Research Frontier]. IEEE Comput. Intell. Mag. 18(3): 56-68 (2023) - [j30]Caie Hu, Sanyou Zeng, Changhe Li:
An Uncertainty Measure for Prediction of Non-Gaussian Process Surrogates. Evol. Comput. 31(1): 53-71 (2023) - [j29]Caie Hu
A framework of global exploration and local exploitation using surrogates for expensive optimization. Knowl. Based Syst. 280: 111018 (2023) - [j28]Caie Hu
On Nonstationary Gaussian Process Model for Solving Data-Driven Optimization Problems. IEEE Trans. Cybern. 53(4): 2440-2453 (2023) - [j27]Junchen Wang
History-Guided Hill Exploration for Evolutionary Computation. IEEE Trans. Evol. Comput. 27(6): 1962-1975 (2023) - [c54]Qingshan Tan, Changhe Li, Sanyou Zeng, Shengxiang Yang:
A Subspace-Based Non-Dominated Subset Selection Method. CEC 2023: 1-8 - [c53]Yaqi Ti, Changhe Li, Shengxiang Yang:
A Test Suite and An Optimizer for Dietary Nutrition Optimization Problem: From Constrained Many-Objective Perspective. CEC 2023: 1-8 - [c52]Yiya Diao
Nearest better network for visualization of the fitness landscape. GECCO Companion 2023: 815-818 - [c51]Jiaxing Gao, Lin Zhao, Tianyang Zhong, Changhe Li, Zhibin He, Yaonai Wei, Shu Zhang, Lei Guo, Tianming Liu, Junwei Han, Tuo Zhang:
Prediction of Cognitive Scores by Joint Use of Movie-Watching fMRI Connectivity and Eye Tracking via Attention-CensNet. MICCAI (2) 2023: 287-296 - [i6]Mai Peng, Zeneng She, Delaram Yazdani, Danial Yazdani, Wenjian Luo, Changhe Li, Jürgen Branke, Trung Thanh Nguyen, Amir H. Gandomi, Yaochu Jin, Xin Yao:
Evolutionary Dynamic Optimization Laboratory: A MATLAB Optimization Platform for Education and Experimentation in Dynamic Environments. CoRR abs/2308.12644 (2023) - 2022
- [j26]Ming Yang
CCFR3: A cooperative co-evolution with efficient resource allocation for large-scale global optimization. Expert Syst. Appl. 203: 117397 (2022) - [c50]Caie Hu, Sanyou Zeng, Changhe Li:
Hyperparameters Adaptive Sharing Based on Transfer Learning for Scalable GPs. CEC 2022: 1-7 - [c49]Michalis Mavrovouniotis, Changhe Li, Georgios Ellinas, Marios M. Polycarpou:
Solving the Electric Capacitated Vehicle Routing Problem with Cargo Weight. CEC 2022: 1-8 - [c48]Hai Xia
Learning to Search Promising Regions by a Monte-Carlo Tree Model. CEC 2022: 1-8 - [c47]Jiaxing Gao, Changhe Li, Zhibin He, Yaonai Wei, Lei Guo, Junwei Han, Shu Zhang, Tuo Zhang:
Prediction of Cognitive Scores by Movie-Watching FMRI Connectivity and Eye Movement Via Spectral Graph Convolutions. ISBI 2022: 1-5 - [c46]Changhe Li, Jiaxing Gao, Zhibin He, Songyao Zhang, Yaonai Wei, Lei Du, Lei Guo, Junwei Han, Shu Zhang, Tuo Zhang:
Bridging Natruralistic Stimuli, Eye Movement And Brain Activity Via Cca And Locality Preserving Projection. ISBI 2022: 1-5 - [c45]Michalis Mavrovouniotis, Georgios Ellinas, Changhe Li, Marios M. Polycarpou:
A Multiple Ant Colony System for the Electric Vehicle Routing Problem with Time Windows. SSCI 2022: 796-803 - [i5]Wenjian Luo, Xin Lin, Changhe Li, Shengxiang Yang, Yuhui Shi:
Benchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments. CoRR abs/2201.00523 (2022) - [i4]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:
Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning. CoRR abs/2205.09995 (2022) - [i3]Li Yang, Zhibin He, Changhe Li, Junwei Han, Dajiang Zhu, Tianming Liu, Tuo Zhang:
Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution. CoRR abs/2205.10605 (2022) - [i2]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
Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning. CoRR abs/2205.12466 (2022) - 2021
- [j25]Ruwang Jiao
Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization. Inf. Sci. 578: 592-614 (2021) - [j24]Ruwang Jiao
Handling Constrained Many-Objective Optimization Problems via Problem Transformation. IEEE Trans. Cybern. 51(10): 4834-4847 (2021) - [j23]Ming Yang
An Efficient Recursive Differential Grouping for Large-Scale Continuous Problems. IEEE Trans. Evol. Comput. 25(1): 159-171 (2021) - [c44]Qingshan Tan, Changhe Li, Hai Xia
A Novel Scalable Framework For Constructing Dynamic Multi-objective Optimization Problems. CEC 2021: 111-118 - [c43]Hai Xia
A Reinforcement-Learning-Based Evolutionary Algorithm Using Solution Space Clustering For Multimodal Optimization Problems. CEC 2021: 1938-1945 - [c42]Baojian Chen, Changhe Li, Sanyou Zeng, Shengxiang Yang, Michalis Mavrovouniotis:
An Adaptive Evolutionary Algorithm for Bi- Level Multi-objective VRPs with Real-Time Traffic Conditions. SSCI 2021: 1-8 - [c41]Caie Hu, Sanyou Zeng, Changhe Li:
An Adaptive Model Management Strategy: Balancing Exploration and Exploitation. SSCI 2021: 1-8 - [i1]Danial Yazdani, Jürgen Branke, Mohammad Nabi Omidvar, Changhe Li, Michalis Mavrovouniotis, Trung Thanh Nguyen, Shengxiang Yang, Xin Yao:
Generalized Moving Peaks Benchmark. CoRR abs/2106.06174 (2021) - 2020
- [j22]Michalis Mavrovouniotis
Ant Colony Optimization Algorithms for Dynamic Optimization: A Case Study of the Dynamic Travelling Salesperson Problem [Research Frontier]. IEEE Comput. Intell. Mag. 15(1): 52-63 (2020) - [j21]Ming Yang
CCFR2: A more efficient cooperative co-evolutionary framework for large-scale global optimization. Inf. Sci. 512: 64-79 (2020) - [c40]Yan Liang, Changhe Li:
Discussion on Teaching Reform of Computer Education Major Based on Information Key Competency. ICCSE 2020: 267-271 - [c39]Long Xiao, Changhe Li, Junchen Wang, Michalis Mavrovouniotis, Shengxiang Yang
Modeling and Evolutionary Optimization for Multi-objective Vehicle Routing Problem with Real-time Traffic Conditions. ICMLC 2020: 518-523
2010 – 2019
- 2019
- [j20]Sanyou Zeng, Ruwang Jiao
Constrained optimisation by solving equivalent dynamic loosely-constrained multiobjective optimisation problem. Int. J. Bio Inspired Comput. 13(2): 86-101 (2019) - [j19]Ruwang Jiao
A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization. Inf. Sci. 471: 80-96 (2019) - [j18]Ruwang Jiao
A feasible-ratio control technique for constrained optimization. Inf. Sci. 502: 201-217 (2019) - [j17]Ran Wang, Trung Thanh Nguyen
Optimising discrete dynamic berth allocations in seaports using a Levy Flight based meta-heuristic. Swarm Evol. Comput. 44: 1003-1017 (2019) - [j16]Changhe Li
An Open Framework for Constructing Continuous Optimization Problems. IEEE Trans. Cybern. 49(6): 2316-2330 (2019) - [c38]Ruwang Jiao
Evolutionary Constrained Multi-objective Optimization using NSGA-II with Dynamic Constraint Handling. CEC 2019: 1634-1641 - [c37]Yiya Diao, Changhe Li, Sanyou Zeng, Michalis Mavrovouniotis, Shengxiang Yang:
Memory-based multi-population genetic learning for dynamic shortest path problems. CEC 2019: 2276-2283 - [c36]Xiaofang Wu, Changhe Li, Sanyou Zeng, Shengxiang Yang:
A Novel Multi-objective Evolutionary Algorithm Based on Space Partitioning. ISICA 2019: 127-142 - [c35]Michalis Mavrovouniotis, Changhe Li, Georgios Ellinas, Marios M. Polycarpou:
Parallel Ant Colony Optimization for the Electric Vehicle Routing Problem. SSCI 2019: 1660-1667 - 2018
- [j15]Ming Yang
A Supervised-Learning p-Norm Distance Metric for Hyperspectral Remote Sensing Image Classification. IEEE Geosci. Remote. Sens. Lett. 15(9): 1432-1436 (2018) - [c34]Junchen Wang, Changhe Li, Yiya Diao, Sanyou Zeng, Hui Wang:
An efficient nondominated sorting algorithm. GECCO (Companion) 2018: 203-204 - [c33]Ruwang Jiao
Dynamic constrained multi-objective evolutionary algorithms with a novel selection strategy for constrained optimization. GECCO (Companion) 2018: 213-214 - [c32]Ruwang Jiao
Expected improvement of constraint violation for expensive constrained optimization. GECCO 2018: 1039-1046 - 2017
- [j14]Ruwang Jiao
Dynamic multi-objective evolutionary algorithms for single-objective optimization. Appl. Soft Comput. 61: 793-805 (2017) - [j13]Xi Li, Sanyou Zeng, Changhe Li, Jiantao Ma:
Many-objective optimization with dynamic constraint handling for constrained optimization problems. Soft Comput. 21(24): 7435-7445 (2017) - [j12]Michalis Mavrovouniotis
A survey of swarm intelligence for dynamic optimization: Algorithms and applications. Swarm Evol. Comput. 33: 1-17 (2017) - [j11]Sanyou Zeng
A General Framework of Dynamic Constrained Multiobjective Evolutionary Algorithms for Constrained Optimization. IEEE Trans. Cybern. 47(9): 2678-2688 (2017) - [j10]Ming Yang
Efficient Resource Allocation in Cooperative Co-Evolution for Large-Scale Global Optimization. IEEE Trans. Evol. Comput. 21(4): 493-505 (2017) - [c31]Sanyou Zeng, Ruwang Jiao, Changhe Li, Bin Lan, Huanhuan Li, Jianqing Sun, Yongzhi Sun:
Typical Constrained Optimization Formulation in Evolutionary Computation Not Suitable for Expensive Optimization. ISICA (1) 2017: 232-245 - [c30]Yiya Diao, Changhe Li, Yebin Ma, Junchen Wang, Xingang Zhou:
A Probabilistic Learning Algorithm for the Shortest Path Problem. SEAL 2017: 631-643 - 2016
- [j9]Changhe Li
An Adaptive Multipopulation Framework for Locating and Tracking Multiple Optima. IEEE Trans. Evol. Comput. 20(4): 590-605 (2016) - [c29]Changhe Li:
An Efficient Benchmark Generator for Dynamic Optimization Problems. BIC-TA (2) 2016: 60-72 - [c28]Yong Xia, Changhe Li:
Memory-based statistical learning for the travelling salesman problem. CEC 2016: 2935-2941 - [c27]Ming Yang, Jing Guan, Changhe Li:
Differential evolution with auto-enhanced population diversity: The experiments on the CEC'2016 competition. CEC 2016: 4785-4789 - [c26]Caitao Zhan, Changhe Li:
Shape Formation in Games: A Probability-Based Evolutionary Approach. CIS 2016: 518-521 - [c25]Ran Wang, Trung Thanh Nguyen
Benchmarking Dynamic Three-Dimensional Bin Packing Problems Using Discrete-Event Simulation. EvoApplications (2) 2016: 266-279 - 2015
- [j8]Changhe Li, Trung Thanh Nguyen
Multi-population methods in unconstrained continuous dynamic environments: The challenges. Inf. Sci. 296: 95-118 (2015) - [j7]Ming Yang, Changhe Li, Zhihua Cai, Jing Guan:
Differential Evolution With Auto-Enhanced Population Diversity. IEEE Trans. Cybern. 45(2): 302-315 (2015) - [c24]Hui Wang, Wenjun Wang, Hui Sun, Changhe Li, Shahryar Rahnamayan, Yong Liu:
A modified cuckoo search algorithm for flow shop scheduling problem with blocking. CEC 2015: 456-463 - 2014
- [j6]Changhe Li, Shengxiang Yang, Ming Yang:
An Adaptive Multi-Swarm Optimizer for Dynamic Optimization Problems. Evol. Comput. 22(4): 559-594 (2014) - [j5]Qing Zhang, Sanyou Zeng, Changhe Li:
Dynamic and random differential evolution solving constrained optimisation problems. Int. J. Comput. Sci. Math. 5(2): 137-150 (2014) - [c23]Ming Yang, Zhihua Cai, Changhe Li, Jing Guan:
An improved JADE algorithm for global optimization. IEEE Congress on Evolutionary Computation 2014: 806-812 - [c22]Ming Yang, Jing Guan, Zhihua Cai, Changhe Li:
A dimensional-level adaptive differential evolutionary algorithm for continuous optimization. GECCO (Companion) 2014: 123-124 - [c21]Yong Xia, Changhe Li, Sanyou Zeng:
Three New Heuristic Strategies for Solving Travelling Salesman Problem. ICSI (1) 2014: 181-188 - 2013
- [j4]Hui Wang, Hui Sun, Changhe Li, Shahryar Rahnamayan, Jeng-Shyang Pan
Diversity enhanced particle swarm optimization with neighborhood search. Inf. Sci. 223: 119-135 (2013) - [c20]Ming Yang, Zhihua Cai, Changhe Li, Jing Guan:
An improved adaptive differential evolution algorithm with population adaptation. GECCO 2013: 145-152 - [c19]Zhu Liu, Sanyou Zeng, Yuhong Jiang, Changhe Li
Evolutionary design of a wide-band twisted dipole antenna for X-band application. ICES 2013: 9-12 - 2012
- [j3]Changhe Li, Shengxiang Yang
A General Framework of Multipopulation Methods With Clustering in Undetectable Dynamic Environments. IEEE Trans. Evol. Comput. 16(4): 556-577 (2012) - [j2]Changhe Li, Shengxiang Yang
A Self-Learning Particle Swarm Optimizer for Global Optimization Problems. IEEE Trans. Syst. Man Cybern. Part B 42(3): 627-646 (2012) - [c18]Changhe Li
Maintaining diversity by clustering in dynamic environments. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [b1]Changhe Li:
Particle swarm optimization in stationary and dynamic environments. University of Leicester, UK, 2011 - 2010
- [j1]Shengxiang Yang
A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments. IEEE Trans. Evol. Comput. 14(6): 959-974 (2010) - [c17]Changhe Li
Adaptive learning particle swarm optimizer-II for global optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c16]Imtiaz Ali Korejo, Shengxiang Yang, Changhe Li:
A Directed Mutation Operator for Real Coded Genetic Algorithms. EvoApplications (1) 2010: 491-500
2000 – 2009
- 2009
- [c15]Changhe Li, Shengxiang Yang
An adaptive learning particle swarm optimizer for function optimization. IEEE Congress on Evolutionary Computation 2009: 381-388 - [c14]Changhe Li
A clustering particle swarm optimizer for dynamic optimization. IEEE Congress on Evolutionary Computation 2009: 439-446 - [c13]Qin Tang, Jianyou Zeng, Hui Li, Changhe Li, Yong Liu:
A Particle Swarm Optimization Algorithm Based on Genetic Selection Strategy. ISNN (3) 2009: 126-135 - 2008
- [c12]Zhuo Kang, Lishan Kang, Changhe Li, Yuping Chen, Minzhong Liu:
Convergence properties of E-optimality algorithms for Many objective Optimization Problems. IEEE Congress on Evolutionary Computation 2008: 472-477 - [c11]Changhe Li, Shengxiang Yang
Fast Multi-Swarm Optimization for Dynamic Optimization Problems. ICNC (7) 2008: 624-628 - [c10]Yali Hou, Changhe Li, Yucheng Ding:
Theoretical Analysis and Experimental Evaluation Surface Morphology Integration of Grinding and Precision Finishing. PACIIA (2) 2008: 135-139 - [c9]Changhe Li, Shengxiang Yang:
An Island Based Hybrid Evolutionary Algorithm for Optimization. SEAL 2008: 180-189 - [c8]Changhe Li, Shengxiang Yang
A Generalized Approach to Construct Benchmark Problems for Dynamic Optimization. SEAL 2008: 391-400 - 2007
- [c7]Hui Wang, Hui Li, Yong Liu, Changhe Li, Sanyou Zeng:
Opposition-based particle swarm algorithm with cauchy mutation. IEEE Congress on Evolutionary Computation 2007: 4750-4756 - [c6]Zhuo Kang, Lishan Kang, Xiufen Zou, Minzhong Liu, Changhe Li, Ming Yang, Yan Li, Yuping Chen, Sanyou Zeng:
A New Evolutionary Decision Theory for Many-Objective Optimization Problems. ISICA 2007: 1-11 - [c5]Changhe Li, Yong Liu, Aimin Zhou, Lishan Kang, Hui Wang:
A Fast Particle Swarm Optimization Algorithm with Cauchy Mutation and Natural Selection Strategy. ISICA 2007: 334-343 - [c4]Qing Zhang, Changhe Li, Yong Liu, Lishan Kang:
Fast Multi-swarm Optimization with Cauchy Mutation and Crossover Operation. ISICA 2007: 344-352 - [c3]Hui Wang, Yong Liu, Changhe Li, Sanyou Zeng:
A Hybrid Particle Swarm Algorithm with Cauchy Mutation. SIS 2007: 356-360 - 2006
- [c2]Changhe Li
Material Removal Mechanisms Analysis in the Finishing Machining of Engineering Ceramics. PROLAMAT 2006: 729-734 - [c1]Changhe Li, Ming Yang, Lishan Kang:
A New Approach to Solving Dynamic Traveling Salesman Problems. SEAL 2006: 236-243
Coauthor Index
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last updated on 2024-11-07 21:36 CET by the dblp team
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