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GREEDY: 作品数：172被引量：348H指数：8; 导出分析报告; 相关作者：王昕王振雷秦进王晓阳褚桂芳更多>>; 相关机构：华东理工大学上海交通大学天津津航计算技术研究所,江南大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家高技术研究发展计划上海市教育委员会重点学科基金国家重点基础研究发展计划更多>>

基于深度强化学习策略的空气源热泵除霜能效提升: 《能源研究与信息》2025年第1期27-32,共6页张博田煦嘉; 热泵除霜技术在空调等制冷系统中发挥着重要的作用,但传统的除霜方法存在能耗高、效率低、系统性能下降等问题。采用先进的强化学习技术,对热泵除霜过程进行了模型优化,采用Q-learning算法及epsilon-greedy策略学习一个最优的动作值函数...; 关键词：热泵除霜强化学习 Q-learning算法 epsilon-greedy策略能耗效率

复杂环境下基于DRL的列车驾驶自动控制方法研究: 《自动化与仪器仪表》2025年第3期85-89,共5页刘继成苏璐; 在现代轨道交通系统中,轨道交通的自动化控制面临着复杂环境带来的多重挑战。研究旨在通过改进深度强化学习算法来优化列车驾驶控制。以全连接前馈神经网络作为列车控制器,引入了ε-greedy策略进行指令和激活函数优化,最终提出了一种新...; 关键词：深度强化学习列车驾驶自动控制 ε-greedy策略

Greedy Pruning Algorithm for DETR Architecture Networks Based on Global Optimization: 《Journal of Donghua University(English Edition)》2025年第1期96-105,共10页HUANG Qiubo XU Jingsai ZHANG Yakui WANG Mei CHEN Dehua; Shanghai Municipal Commission of Economy and Information Technology,China(No.202301054)。; End-to-end object detection Transformer(DETR)successfully established the paradigm of the Transformer architecture in the field of object detection.Its end-to-end detection process and the idea of set prediction have ...; 关键词：model pruning object detection Transformer(DETR) Transformer architecture object detection

Community detection on elite mathematicians’collaboration network: 《Journal of Data and Information Science》2024年第4期1-23,共23页Yurui Huang Zimo Wang Chaolin Tian Yifang Ma; supported by grants from the National Natural Science Foundation of China No.NSFC62006109 and NSFC12031005;the 13th Five-year plan for Education Science Funding of Guangdong Province No.2021GXJK349,No.2020GXJK457;the Stable Support Plan Program of Shenzhen Natural Science Fund No.20220814165010001.; Purpose:This study focuses on understanding the collaboration relationships among mathematicians,particularly those esteemed as elites,to reveal the structures of their communities and evaluate their impact on the fie...; 关键词：Greedy modularity maximization Infomap Collaboration network Community detection Mathematical awardees

“Mr Greedy”: An African penguin at 33: 《疯狂英语(新读写)》2024年第12期31-33,76,共4页侯昌玮; An African penguin named“Mr Greedy”died at Baltimore's Maryland Zoo at the age of 33,surpassing his species'median life expectancy of 18 years.2“Mr Greedy helped rebuild the penguin population at zoos across North ...; 关键词：MARYLAND species. PASSING

GRAPE‐WEB:An automated computational redesign web server for improving protein thermostability: 《mLife》2024年第4期527-531,共5页Jinyuan Sun Wenyu Shi Zhihui Xing Guomei Fan Qinglan Sun Linhuan Wu Juncai Ma Yinglu Cui Bian Wu; supported by the National Key R&D Program of China(grant no.2021YFC2103600);the National Natural Science Foundation of China(31822002,32170033,and 32422001);the Key Research Program of Frontier Sciences(ZDBS‐LY‐SM014);the Biological Resources Program(KFJBRP‐009 and KFJ‐BRP‐017‐58)from the Chinese Academy of Sciences,the Informatization Plan of Chinese Academy of Sciences(CAS‐WX2021SF‐0111);the Youth Innovation Promotion Association CAS(2022086).; Impact statement We have developed the GReedy Accumulated strategy for Protein Engineering(GRAPE)to improve enzyme stability across various applications,combining advanced computational methods with a unique clusterin...; 关键词：explore epistatic effects protein engineering greedy accumulated strategy improve enzyme stability combination stabilizing mutations protein thermostability protein engineering grape advanced computational methods

面向复杂电磁干扰环境的Greedy-PPO智能频谱共享决策: 《航空学报》2024年第22期233-246,共14页殷凯杰石嘉段国栋李立欣司江勃; 电磁空间作战与应用重点实验室基金(JJ2021-001)。; 针对复杂电磁环境下的多功能电磁设备用频激烈冲突问题,考虑连续和离散混合动作耦合决策挑战,研究基于强化学习的智能频谱共享技术。首先,考虑己方和干扰方用频规则等多方面因素影响,对复杂电磁干扰环境进行精细化建模,在此基础上,设计...; 关键词：频谱共享强化学习规则算法决策管理混合动作空间

Greedy is Good:Constrained Non-submodular Function Maximization via Weak Submodularity: 《Journal of the Operations Research Society of China》2024年第3期627-648,共22页Ma-Jun Shi Wei Wang; supported by the National Natural Science Foundation of China(No.11971376).; The widely used greedy algorithm has been recently shown to achieve near-optimal theoretical guarantees for the problems of constrained monotone non-submodular function maximization,with competitive performances in pr...; 关键词：Non-submodular function p-matroid intersection p-extendible system P-SYSTEM Greedy algorithm

Greedy Lattice Paths with General Weights: 《Acta Mathematica Sinica,English Series》2024年第9期2213-2222,共10页Yin Shan CHANG An Qi ZHENG; Supported by National Natural Science Foundation of China(Grant No.11701395)。; Let{X_(v):v∈Z^(d)}be i.i.d.random variables.Let S(π)=Σ_(v∈π)X_(v)be the weight of a self-avoiding lattice pathπ.Let M_(n)=max{S(π):πhas length n and starts from the origin}.We are interested in the asymptotics...; 关键词：Last passage percolation first passage percolation greedy lattice path

A Penalty Groups-Assisted Iterated Greedy Integrating Idle Time Insertion:Solving the Hybrid Flow Shop Group Scheduling with Delivery Time Windows: 《Complex System Modeling and Simulation》2024年第2期137-165,共29页Qianhui Ji Yuyan Han Yuting Wang Biao Zhang Kaizhou Gao; This work was supported by the Natural Science Foundation of Shandong province(No.ZR2023MF022);National Natural Science Foundation of China(Nos.61973203,61803192,62106073,and 61966012);Guangyue Young Scholar Innovation Team of Liaocheng University(No.LCUGYTD2022-03).; The hybrid flow shop group scheduling problem(HFGSP)with the delivery time windows has been widely studied owing to its better flexibility and suitability for the current just-in-time production mode.However,there are...; 关键词：hybrid flow shop group scheduling iterated greedy algorithm delivery time windows sequence-dependent setup time

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