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浏览/检索结果: 共219条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Learning to Branch in Combinatorial Optimization With Graph Pointer Networks 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 157-169 作者:  Rui Wang;  Zhiming Zhou;  Kaiwen Li;  Tao Zhang;  Ling Wang   |  收藏  |  浏览/下载：9/0  |  提交时间：2024/01/02 Branch-and-bound (B&B)  combinatorial optimization  deep learning  graph neural network  imitation learning   NeuralGLS: learning to guide local search with graph convolutional network for the traveling salesman problem 期刊论文  OAI收割 NEURAL COMPUTING & APPLICATIONS, 2023, 页码: 20 作者:  Sui, Jingyan;  Ding, Shizhe;  Xia, Boyang;  Liu, Ruizhi;  Bu, Dongbo   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/12/04 Graph convolutional network  Guided local search  Traveling salesman problem   Multifunctionality can be promoted by increasing agriculture-dominated heterogeneous landscapes in an agro-forestry interlacing zone in northeast China 期刊论文  OAI收割 LANDSCAPE AND URBAN PLANNING, 2023, 卷号: 238, 页码: 12 作者:  Guo, Yujie;  Ren, Zhibin;  Dong, Yulin;  Zhang, Peng;  Wang, Chengcong   |  收藏  |  浏览/下载：10/0  |  提交时间：2023/10/09 Landscape multifunctionality  Land -use  Landscape management  Incremental thresholds  East Liaohe River Basin   Rethinking Label Flipping Attack: From Sample Masking to Sample Thresholding 期刊论文  OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 6, 页码: 7668-7685 作者:  Xu, Qianqian;  Yang, Zhiyong;  Zhao, Yunrui;  Cao, Xiaochun;  Huang, Qingming   |  收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04 Data models  Training data  Training  Deep learning  Predictive models  Testing  Optimization  Label flipping attack  machine learning   Machine Learning Methods in Solving the Boolean Satisfiability Problem 期刊论文  OAI收割 Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 640-655 作者:  Wenxuan Guo   |  收藏  |  浏览/下载：7/0  |  提交时间：2023/09/25 Machine learning (ML), Boolean satisfiability (SAT), deep learning, graph neural networks (GNNs), combinatorial optimization   Optimizing Polynomial-Time Solutions to a Network Weighted Vertex Cover Game 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 2, 页码: 512-523 作者:  Jie Chen;  Kaiyi Luo;  Changbing Tang;  Zhao Zhang;  Xiang Li   |  收藏  |  浏览/下载：24/0  |  提交时间：2023/01/16 Game-based asynchronous algorithm (GAA)  game optimization  polynomial time  strict Nash equilibrium (SNE)  weighted vertex cover (WVC)   An optimization algorithm for conformer generation based on the bond contribution ranking 期刊论文  OAI收割 COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2022, 卷号: 100, 页码: 107751 作者:  Zhang, Ziheng;  Zhang, Kai;  Liu, Zhihui;  Zhao, Jialei;  Wang, Jing   |  收藏  |  浏览/下载：12/0  |  提交时间：2024/03/21 Conformer generation  Bond contribution rank  Systematic sampling  Torsion angle   Evolution of Controllers Under a Generalized Structure Encoding/Decoding Scheme With Application to Magnetic Levitation System 期刊论文  OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 卷号: 69, 期号: 9, 页码: 9655-9666 作者:  Xin, Bin;  Wang, Yipeng;  Xue, Wenchao;  Cai, Tao;  Fan, Zhun   |  收藏  |  浏览/下载：36/0  |  提交时间：2022/06/21 Optimization  Design methodology  Control systems  Tuning  Magnetic levitation  Signal processing  Periodic structures  Automatic design of controllers  disturbance-rejection  intelligent optimization algorithms  magnetic levitation system (MLS)  mixed-variable optimization   Approximation algorithms for solving the line-capacitated minimum Steiner tree problem 期刊论文  OAI收割 JOURNAL OF GLOBAL OPTIMIZATION, 2022, 页码: 28 作者:  Li, Jianping;  Wang, Wencheng;  Lichen, Junran;  Liu, Suding;  Pan, Pengxiang   |  收藏  |  浏览/下载：15/0  |  提交时间：2023/02/07 Combinatorial optimization  Locations of lines  Line-capacitated Steiner trees  Approximation algorithms  Exact algorithms   Deep Momentum Uncertainty Hashing 期刊论文  OAI收割 Pattern Recognition, 2022, 卷号: 122, 页码: 108264 作者:  Fu, Chaoyou;  Wang, Guoli;  Wu, Xiang;  Zhang, Qian;  He, Ran   |  收藏  |  浏览/下载：14/0  |  提交时间：2022/06/15 Combinatorial optimization  Deep hashing  Uncertainty