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检索条件"主题词=Q -Learning algorithm"
12 条 记 录,以下是1-10 订阅
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Real-time power optimization based on q-learning algorithm for direct methanol fuel cell system
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INTERNATIONAL JOURNAL OF HYDROGEN ENERGY 2024年 89卷 1241-1253页
作者: Chi, Xuncheng Chen, Fengxiang Zhai, Shuang Hu, Zhe Zhou, Su Wei, Wei Tongji Univ Sch Automot Studies Shanghai Peoples R China Shanghai Refire Technol Co Ltd Shanghai Peoples R China Shanghai Zhongqiao Vocat & Tech Univ Shanghai Peoples R China CAS &M Zhangjiagang New Energy Technol Co Ltd Zhangjiagang Peoples R China
Efficient real-time power optimization of direct methanol fuel cell (DMFC) system is crucial for enhancing its performance and reliability. The power of DMFC system is mainly affected by stack temperature and circulat... 详细信息
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Improved ACO algorithm fused with improved q-learning algorithm for Bessel curve global path planning of search and rescue robots
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ROBOTICS AND AUTONOMOUS SYSTEMS 2024年 182卷
作者: Fang, Wenkai Liao, Zhigao Bai, Yufeng Jiangsu Univ Sci & Technol Coll Econ & Management Zhenjiang 212100 Peoples R China Guangxi Univ Sci & Technol Coll Econ & Management Liuzhou 545006 Peoples R China Guangxi Univ Sci & Technol Guangxi Res Ctr High Qual Ind Dev Liuzhou 545006 Peoples R China
Addressing issues with traditional ant colony and reinforcement learning algorithms, such as low search efficiency and the tendency to produce insufficiently smooth paths that easily fall into local optima, this paper... 详细信息
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qL-ADIFA: Hybrid optimization using q-learning and an adaptive logarithmic spiral-levy firefly algorithm
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MATHEMATICAL BIOSCIENCES AND ENGINEERING 2023年 第8期20卷 13542-13561页
作者: Tan, Shuang Zhao, Shangrui Wu, Jinran Wuhan Univ Technol Sch Sci Wuhan 430070 Peoples R China Australian Catholic Univ Inst Learning Sci & Teacher Educ Brisbane 4000 Australia
Optimization problems are ubiquitous in engineering and scientific research, with a large number of such problems requiring resolution. Meta-heuristics offer a promising approach to solving optimization problems. The ... 详细信息
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q-learning based hyper-heuristic with clustering strategy for combinatorial optimization: A case study on permutation flow-shop scheduling problem
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COMPUTERS & OPERATIONS RESEARCH 2025年 173卷
作者: Yang, Yuan-yuan qian, Bin Li, Zuocheng Hu, Rong Wang, Ling Kunming Univ Sci & Technol Fac Informat Engn & Automat Kunming 650500 Peoples R China Kunming Univ Sci & Technol Higher Educ Key Lab Ind Intelligence & Syst Yunnan Kunming 650500 Peoples R China Kunming Univ Sci & Technol Fac Mech & Elect Engn Kunming 650500 Peoples R China Tsinghua Univ Dept Automat Beijing 100084 Peoples R China
In this paper, a q-learning based hyper-heuristic with clustering strategy (qHH/CS) is proposed for combinatorial optimization problems (COPs). In qHH/CS, a clustering strategy based on low-dimensional mapping method ... 详细信息
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Study on a new metaheuristic algorithm - Tribal intelligent evolution optimization and its application in optimal control of cooling plants
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APPLIED ENERGY 2025年 383卷
作者: Yao, Ye Hong, Xiaoxi Xiong, Lei Shanghai Jiao Tong Univ Inst Refrigerat & Cryogen Sch Mech Engn 800 Dongchuan Rd Shanghai 200240 Peoples R China
This study proposes a new metaheuristic algorithm called Tribal Intelligent Evolution Optimization (TIEO). This algorithm is inspired by the process of continuous division and unification of tribes in history. The fun... 详细信息
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Non-contact vision-based response reconstruction and reinforcement learning guided evolutionary algorithm for substructural condition assessment
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MECHANICAL SYSTEMS AND SIGNAL PROCESSING 2025年 224卷
作者: Zhang, Guangcai Hou, Jiale Wan, Chunfeng Li, Jun Xie, Liyu Xue, Songtao Southeast Univ Key Lab Concrete & Prestressed Concrete Struct Minist Educ Nanjing Peoples R China Curtin Univ Ctr Infrastruct Monitoring & Protect Sch Civil & Mech Engn Bentley Australia Tsinghua Univ Dept Civil Engn Beijing Peoples R China Southeast Univ Adv Ocean Inst Nantong Peoples R China Tongji Univ Dept Disaster Mitigat Struct Shanghai 200092 Peoples R China Tohoku Inst Technol Dept Architecture Sendai Japan
Structural health monitoring of large-span bridges and high-rise buildings is crucial for ensuring safety and serviceability. However, accurately capturing motion in these structures using consumer-grade cameras is ch... 详细信息
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Reinforcement learning based adaptive control method for traffic lights in intelligent transportation
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ALEXANDRIA ENGINEERING JOURNAL 2024年 106卷 381-391页
作者: Huang, Zhongyi London Sch Econ & Polit Sci Geog & Environm Dept London WC2A 2AE England
Addressing the requirements and challenges of traffic light control, a reinforcement learning based adaptive optimal control model for traffic lights in intelligent transportation systems is proposed. In the model des... 详细信息
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Application of self-improving q-learning controller for a class of dynamical processes: Implementation aspects
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APPLIED SOFT COMPUTING 2024年 152卷
作者: Musial, Jakub Stebel, Krzysztof Czeczot, Jacek Nowak, Pawel Gabrys, Bogdan Silesian Tech Univ Fac Automat Control Elect & Comp Sci Dept Automat Control & Robot PL-44100 Gliwice Poland Univ Technol Sydney Data Sci Inst Complex Adapt Syst Lab Fac Engn & Informat Technol Ultimo NSW 2007 Australia
This paper deals with a practical application of the q-learning algorithm as a general-purpose self-improving controller operating in a class of industrial closed-loop control systems. The proposed approach solves a p... 详细信息
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Fault location of transmission line based on CNN-LSTM double-ended combined model
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ENERGY REPORTS 2022年 8卷 781-791页
作者: Wang, Xinghua Zhou, Peng Peng, Xiangang Wu, Zelin Yuan, Haoliang Guangdong Univ Technol Sch Automat Guangzhou 510006 Peoples R China
In the study of transmission line fault location, most of the previous artificial intelligence-based location methods rely heavily on feature extraction of fault signals, which depend on the researcher's level of ... 详细信息
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Toward automated algorithm configuration for distributed hybrid flow shop scheduling with multiprocessor tasks
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KNOWLEDGE-BASED SYSTEMS 2023年 第1期264卷
作者: Gholami, Hadi Sun, Hongyang Univ Kansas Lawrence KS 66045 USA
Due to the large volume of requests and the need to speed up the provision of services, production companies are migrating from a single service center to distributed centers. To support this migration, it is necessar... 详细信息
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