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Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism



Haokai Hong , Min Jiang , Liang Feng , Qiuzhen Lin , Kay Chen Tan

* 8 pages, 9 figures, published to CEC 2022 

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Benchmark Problems for CEC2021 Competition on Evolutionary Transfer Multiobjectve Optimization



Songbai Liu , Qiuzhen Lin , Kay Chen Tan , Qing Li

* 20 pages, 1 figure, technical report for competition 

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Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model



Haokai Hong , Kai Ye , Min Jiang , Donglin Cao , Kay Chen Tan

* 17 pages, 2 figures 

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Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics



Ye Tian , Xingyi Zhang , Cheng He , Kay Chen Tan , Yaochu Jin


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Multi-Space Evolutionary Search for Large-Scale Optimization



Liang Feng , Qingxia Shang , Yaqing Hou , Kay Chen Tan , Yew-Soon Ong


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Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks



Zhenzhong Wang , Haokai Hong , Kai Ye , Min Jiang , Kay Chen Tan


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Evolutionary Gait Transfer of Multi-Legged Robots in Complex Terrains



Min Jiang , Guokun Chi , Geqiang Pan , Shihui Guo , Kay Chen Tan


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Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks



Jibin Wu , Chenglin Xu , Daquan Zhou , Haizhou Li , Kay Chen Tan


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Synaptic Learning with Augmented Spikes



Qiang Yu , Shiming Song , Chenxiang Ma , Linqiang Pan , Kay Chen Tan

* 13 pages 

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