受强制性开放获取政策约束的文章 - Liang Feng了解详情
无法在其他位置公开访问的文章：75 篇
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Evolutionary multitasking via explicit autoencoding
L Feng, L Zhou, J Zhong, A Gupta, YS Ong, KC Tan, AK Qin
IEEE transactions on cybernetics 49 (9), 3457-3470, 2018
强制性开放获取政策： 国家自然科学基金委员会
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Evolutionary transfer optimization-a new frontier in evolutionary computation research
KC Tan, L Feng, M Jiang
IEEE Computational Intelligence Magazine 16 (1), 22-33, 2021
强制性开放获取政策： 国家自然科学基金委员会, Research Grants Council, Hong Kong
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Affine transformation-enhanced multifactorial optimization for heterogeneous problems
X Xue, K Zhang, KC Tan, L Feng, J Wang, G Chen, X Zhao, L Zhang, ...
IEEE Transactions on Cybernetics 52 (7), 6217-6231, 2020
强制性开放获取政策： 国家自然科学基金委员会
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Toward adaptive knowledge transfer in multifactorial evolutionary computation
L Zhou, L Feng, KC Tan, J Zhong, Z Zhu, K Liu, C Chen
IEEE transactions on cybernetics 51 (5), 2563-2576, 2020
强制性开放获取政策： 国家自然科学基金委员会, Research Grants Council, Hong Kong
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Explicit evolutionary multitasking for combinatorial optimization: A case study on capacitated vehicle routing problem
L Feng, Y Huang, L Zhou, J Zhong, A Gupta, K Tang, KC Tan
IEEE transactions on cybernetics 51 (6), 3143-3156, 2020
强制性开放获取政策： 国家自然科学基金委员会, Research Grants Council, Hong Kong
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An adaptive archive-based evolutionary framework for many-task optimization
Y Chen, J Zhong, L Feng, J Zhang
IEEE Transactions on Emerging Topics in Computational Intelligence 4 (3 …, 2019
强制性开放获取政策： 国家自然科学基金委员会
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TrajCompressor: An Online Map-matching-based Trajectory Compression Framework Leveraging Vehicle Heading Direction and Change
C Chen, Y Ding, X Xie, S Zhang, Z Wang, L Feng
IEEE Transactions on Intelligent Transportation Systems 21 (5), 2012-2028, 2019
强制性开放获取政策： 国家自然科学基金委员会
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Solving generalized vehicle routing problem with occasional drivers via evolutionary multitasking
L Feng, L Zhou, A Gupta, J Zhong, Z Zhu, KC Tan, K Qin
IEEE transactions on cybernetics 51 (6), 3171-3184, 2019
强制性开放获取政策： 国家自然科学基金委员会
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Toward low-overhead fingerprint-based indoor localization via transfer learning: design, implementation, and evaluation
K Liu, H Zhang, JKY Ng, Y Xia, L Feng, VCS Lee, SH Son
IEEE Transactions on Industrial Informatics 14 (3), 898-908, 2017
强制性开放获取政策： 国家自然科学基金委员会
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A hybrid of genetic transform and hyper-rectangle search strategies for evolutionary multi-tasking
Z Liang, J Zhang, L Feng, Z Zhu
Expert Systems with Applications 138, 112798, 2019
强制性开放获取政策： 国家自然科学基金委员会
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Landscape Synergy in Evolutionary Multitasking
A Gupta, YS Ong, B Da, L Feng, D Handoko
IEEE WCCI-CEC, 2016
强制性开放获取政策： National Research Foundation, Singapore
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Terrestrial laser scanning assisted flatness quality assessment for two different types of concrete surfaces
D Li, J Liu, L Feng, Y Zhou, P Liu, YF Chen
Measurement 154, 107436, 2020
强制性开放获取政策： 国家自然科学基金委员会
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Automated clash resolution for reinforcement steel design in concrete frames via Q-learning and Building Information Modeling
J Liu, P Liu, L Feng, W Wu, D Li, F Chen
Automation in Construction 112, 103062, 2020
强制性开放获取政策： 国家自然科学基金委员会
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A Multivariation Multifactorial Evolutionary Algorithm for Large-Scale Multiobjective Optimization
Y Feng, L Feng, S Kwong, KC Tan
IEEE Transactions on Evolutionary Computation 26 (2), 248-262, 2021
强制性开放获取政策： 国家自然科学基金委员会, Research Grants Council, Hong Kong
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A Preliminary Study of Adaptive Task Selection in Explicit Evolutionary Many-Tasking
Q Shang, L Zhang, L Feng, Y Hou, J Zhong, A Gupta, KC Tan, HL Liu
2019 IEEE Congress on Evolutionary Computation (CEC), 2153-2159, 2019
强制性开放获取政策： 国家自然科学基金委员会
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Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation
L Feng, Y Huang, IW Tsang, A Gupta, K Tang, KC Tan, YS Ong
IEEE Transactions on Intelligent Transportation Systems, 2020
强制性开放获取政策： 国家自然科学基金委员会, Research Grants Council, Hong Kong
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Towards Effective Mutation for Knowledge Transfer in Multifactorial Differential Evolution
L Zhou, L Feng, K Liu, C Chen, S Deng, T Xiang, S Jiang
2019 IEEE Congress on Evolutionary Computation (CEC), 1541-1547, 2019
强制性开放获取政策： 国家自然科学基金委员会
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Multi-reservoir echo state computing for solar irradiance prediction: A fast yet efficient deep learning approach
Q Li, Z Wu, R Ling, L Feng, K Liu
Applied Soft Computing 95, 106481, 2020
强制性开放获取政策： 国家自然科学基金委员会
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A cooperative coevolution hyper-heuristic framework for workflow scheduling problem
Q Xiao, J Zhong, L Feng, L Luo, J Lv
IEEE transactions on services computing 15 (1), 150-163, 2019
强制性开放获取政策： 国家自然科学基金委员会
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A scalable indoor localization algorithm based on distance fitting and fingerprint mapping in Wi-Fi environments
H Zhang, K Liu, F Jin, L Feng, V Lee, J Ng
Neural Computing and Applications 32, 5131-5145, 2020
强制性开放获取政策： 国家自然科学基金委员会
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