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作品数：822被引量：1735H指数：17
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Maximization of k-Submodular Function with d-Knapsack Constraints Over Sliding Window
《Tsinghua Science and Technology》2025年第2期488-498,共11页Wenqi Wang Yuefang Sun Zhiren Sun Donglei Du Xiaoyan Zhang 
supported by the National Natural Science Foundation of China(Nos.12271259 and 12371352);the Zhejiang Provincial Natural Science Foundation of China(No.LY23A010011);the Yongjiang Talent Introduction Programme of Ningbo(No.2021B-011-G);the Natural Sciences and Engineering Research Council of Canada(NSERC)(No.06446).
Submodular function maximization problem has been extensively studied recently.A natural variant of submodular function is k-submodular function,which has many applications in real life,such as influence maximization ...
关键词：k-submodular function d-knapsack constraints sliding window streaming algorithm approximation algorithm 
Optimizing Efficiency and Performance in a Rankine Cycle Power Plant Analysis
《Energy Engineering》2025年第4期1373-1386,共14页Ramesh Kumar Abdullah Bin Queyam Manish Kumar Singla Mohamed Louzazni Mishra Dipak Kumar 
Enhancing the efficiency of Rankine cycles is crucial for improving the performance of thermal power plants,as it directly impacts operational costs and emissions in light of energy transition goals.This study sets it...
关键词：Rankine cycle thermal efficiency steamquality boiler pressure condenser pressure cycle performance operational constraints efficiency improvement 
Cosmological perturbations in the energy-momentum squared gravity theory:constraints from gravitational wave standard sirens and redshift space distortions
《Chinese Physics C》2025年第4期199-208,共10页Qi-Ming Fu Xin Zhang 
Supported by the National SKA Program of China(2022SKA0110200,2022SKA0110203);the National Natural Science Foundation of China(12473001,11975072,12247101);the National 111 Project(B16009)。
We investigate the linear cosmological perturbations in the context of the so-called energy-momentum squared gravity(EMSG)theory.Recent research shows that the EMSG theory can reproduce a viable background cosmologica...
关键词：energy-momentum squared gravity cosmological perturbations gravitational wave cosmological parameters 
A Low-Collision and Efficient Grasping Method for Manipulator Based on Safe Reinforcement Learning
《Computers, Materials & Continua》2025年第4期1257-1273,共17页Qinglei Zhang Bai Hu Jiyun Qin Jianguo Duan Ying Zhou 
Grasping is one of the most fundamental operations in modern robotics applications.While deep rein-forcement learning(DRL)has demonstrated strong potential in robotics,there is too much emphasis on maximizing the cumu...
关键词：Safe reinforcement learning(Safe RL) manipulator grasping obstacle avoidance constraints lagrange multiplier dynamic weighted 
Low-Carbon Economic Dispatch Strategy for Integrated Energy Systems under Uncertainty Counting CCS-P2G and Concentrating Solar Power Stations
《Energy Engineering》2025年第4期1531-1560,共30页Zhihui Feng Jun Zhang Jun Lu Zhongdan Zhang Wangwang Bai Long Ma Haonan Lu Jie Lin 
State Grid Gansu Electric Power Company Science and Technology Program(Grant No.W24FZ2730008);National Natural Science Foundation of China(Grant No.51767017).
In the background of the low-carbon transformation of the energy structure,the problem of operational uncertainty caused by the high proportion of renewable energy sources and diverse loads in the integrated energy sy...
关键词：Concentrating solar power station CCS-P2G stepped carbon trading mechanism fuzzy opportunity constraints conditional value-at-risk theory 
Parameterization-based trajectory planning for an 8-DOF manipulator with multiple constraints
《Biomimetic Intelligence & Robotics》2025年第1期67-76,共10页Ziwu Ren Zhongyuan Wang Xiaohan Liu Rui Lin 
supported by Jiangsu(Industry Foresight and Key Core Technology)Key Research and Development Project(BE2022137);the National Natural Science Foundation of China(51675358).
A physically feasible,reliable,and safe motion is essential for robot operation.A parameterization-based trajectory planning approach is proposed for an 8-DOF manipulator with multiple constraints.The inverse kinemati...
关键词：8-DOF manipulator Trajectory planning PARAMETERIZATION Obstacle constraints Teaching-learning-based optimization 
Deep Reinforcement Learning-based Multi-Objective Scheduling for Distributed Heterogeneous Hybrid Flow Shops with Blocking Constraints
《Engineering》2025年第3期278-291,共14页Xueyan Sun Weiming Shen Jiaxin Fan Birgit Vogel-Heuser Fandi Bi Chunjiang Zhang 
partially supported by the National Key Research and Development Program of the Ministry of Science and Technology of China(2022YFE0114200);the National Natural Science Foundation of China(U20A6004).
This paper investigates a distributed heterogeneous hybrid blocking flow-shop scheduling problem(DHHBFSP)designed to minimize the total tardiness and total energy consumption simultaneously,and proposes an improved pr...
关键词：Multi-objective Markov decision process Multi-agent deep reinforcement learning Proximal policy optimization Distributed hybrid flow-shop scheduling Blocking constraints 
Deep Reinforcement Learning for automated scheduling of mining earthwork equipment with spatio-temporal safety constraints
《Frontiers of Engineering Management》2025年第1期39-58,共20页Yanan LU Ke YOU Yuxiang WANG Ying LIU Cheng ZHOU Yutian JIANG Zhangang WU 
National Natural Science Foundation of China(Grant Nos.72171092,52192664 and 71821001);Natural Science Fund for Distinguished Young Scholars of Hubei Province,China(Grant No.2021CFA091).
Large-scale machinery operated in a coordinat-ed manner in earthworks for mining constitutes high safety risks.Efficient scheduling of such machinery,factoring in safety constraints,could save time and significantly i...
关键词：deep reinforcement learning mining earthwork automated scheduling spatio-temporal safety constraints 
Constraints on brane geometry from massive vector KK modes
《Chinese Physics C》2025年第3期254-261,共8页Chun-E Fu Heng Guo Ye-Hao Yang 
Supported by the Natural Science Foundation of Shaanxi Province,China(2022JQ-037);,the National Natural Science Foundation of China(11305119);the Natural Science Basic Research Plan of Shaanxi Province,China(23JSQ001,2020JM-198);the Fundamental Research Funds for the Central Universities(JB170502);the 111 Project(B17035)。
We examine the gauge invariance of massive vector Kaluza-Klein(KK)modes within various 6D brane models.Our analysis reveals that additional constraints on the brane geometry are essential to maintain the gauge invaria...
关键词：massive vector KK modes gauge invariance extra dimensions brane geometry 
Stochastic thermodynamics for biological functions
《Quantitative Biology》2025年第1期29-47,共19页Yuansheng Cao Shiling Liang 
National Natural Science Foundation of China,Grant/Award Number:12374213;Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung,Grant/Award Number:200020_178763。
Living systems operate within physical constraints imposed by nonequilibrium thermodynamics.This review explores recent advancements in applying these principles to understand the fundamental limits of biological func...
关键词：biological functions physical constraints stochastic thermodynamics 
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