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检索条件"主题词=Optimization Algorithms"
3674 条 记 录,以下是2141-2150 订阅
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Complexity analysis of regularization methods for implicitly constrained least squares
arXiv
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arXiv 2023年
作者: Onwunta, Akwum Royer, Clément W. Department of Industrial and Systems Engineering Lehigh University 200 West Packer Avenue BethlehemPA18015-1582 United States LAMSADE CNRS Université Paris Dauphine-PSL Place du Maréchal de Lattre de Tassigny Paris75016 France
optimization problems constrained by partial differential equations (PDEs) naturally arise in scientific computing, as those constraints often model physical systems or the simulation thereof. In an implicitly constra... 详细信息
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Team Recommendation for the Pokemon GO Game Using optimization Approaches  19
Team Recommendation for the Pokemon GO Game Using Optimizati...
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19th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)
作者: Oliveira, Samuel da Silva Lima Silva, Guilherme Egle P. Gorgonio, Arthur C. Barreto, Cephas A. S. Canuto, Anne M. P. Carvalho, Bruno M. Fed Univ Rio Grande Norte UFRN Dept Informat & Appl Math DIMAp Natal RN Brazil Fed Univ Rio Grande Norte UFRN Digital Metropolis Inst IMD Natal RN Brazil
Pokemon GO is one of the most popular Pokemon games. This game consists of walking around the world and collecting Pokemon characters using augmented reality. In addition, you can battle with friends, join a gym, or m... 详细信息
来源: 评论
Recent advances in system reliability optimization driven by importance measures
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Frontiers of Engineering Management 2020年 第3期7卷 335-358页
作者: Shubin SI Jiangbin ZHAO Zhiqiang CAI Hongyan DUI School of Mechanical Engineering Northwestern Polytechnical UniversityXi'an 710072China Ministry of Industry and Information Technology Key Laboratory of Industrial Engineering and Intelligent Manufacturing Northwestern Polytechnical UniversityXi'an 710072China School of Management Engineering Zhengzhou UniversityZhengzhou 450001China
System reliability optimization problems have been widely discussed to maximize system reliability with resource *** importance is a wellknown method for evaluating the effect of component reliability on system *** im... 详细信息
来源: 评论
Q-learning embedded sine cosine algorithm (QLESCA)
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EXPERT SYSTEMS WITH APPLICATIONS 2022年 193卷
作者: Hamad, Qusay Shihab Samma, Hussein Suandi, Shahrel Azmin Mohamad-Saleh, Junita Univ Sains Malaysia Sch Elect & Elect Engn Engn Campus Nibong Tebal 14300 Penang Malaysia Univ Teknol Malaysia Fac Engn Sch Comp Soft Comp Res Grp Johor Baharu 81310 Johor Malaysia Univ Informat Technol & Commun UOITC Baghdad Iraq
Sine Cosine Algorithm (SCA) was recognized as a lightweight, efficient, and has a clear math principal optimizer. However, SCA still suffers from a set of problems such as stagnation at local optima, a slow convergenc... 详细信息
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Continuous Convexity Measures
arXiv
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arXiv 2023年
作者: Douzal, Abel de Naurois, Ferdinand Jacobé DIÉNS ÉNS PSL University Paris France 45 rue d’Ulm Paris75230 CEDEX 05 France DMAÉNS ÉNS PSL University Paris France 45 rue d’Ulm Paris75230 CEDEX 05 France
Methods for measuring convexity defects of compacts in Rn abound. However, none of the those measures seems to take into account continuity. Continuity in convexity measure is essential for optimization, stability ana... 详细信息
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PARAMETER IDENTIFICATION OF HYDRAULIC SYSTEMS USING MODIFIED COYOTE optimization ALGORITHM
PARAMETER IDENTIFICATION OF HYDRAULIC SYSTEMS USING MODIFIED...
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33rd Bath/ASME International Symposium on Fluid Power and Motion Control (FPMC)
作者: Asl, Reza Mohammadi Handroos, Heikki LUT Univ Dept Mech Engn Lab Intelligent Machines Lappeenranta Finland
Parameter identification is one of most interesting fields for researchers in control engineering field. Different methods have been investigated in recent years. Methods can be divided into two main categories: mathe... 详细信息
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ONLINE TRAJECTORY optimization FOR LEGGED ROBOTICS INCORPORATING VISION FOR DYNAMICALLY EFFICIENT AND SAFE FOOTSTEP LOCATIONS
ONLINE TRAJECTORY OPTIMIZATION FOR LEGGED ROBOTICS INCORPORA...
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American-Society-of-Mechanical-Engineers(ASME) International Design Engineering Technical Conferences / 39th American-Society-of-Mechanical-Engineers(ASME) Computers and Information in Engineering Conference (IDETC-CIE)
作者: Hooks, Joshua R. Ahn, Min Sung Hong, Dennis Univ Calif Los Angeles Dept Mech & Aeronaut Engn Robot & Mech Lab Los Angeles CA 90095 USA
This paper presents a trajectory optimization algorithm for legged robotics that uses a novel cost function incorporating point cloud data to simultaneously optimize forfootstep locations and center of mass trajectori... 详细信息
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Decision-making and optimal design of green energy system based on statistical methods and artificial neural network approaches
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SUSTAINABLE CITIES AND SOCIETY 2022年 84卷
作者: Samy, M. M. Almamlook, Rabia Emhamed Elkhouly, Heba I. Barakat, Shimaa Beni Suef Univ Fac Engn Dept Elect Engn Bani Suwayf 62511 Egypt Western Michigan Univ Dept Ind Engn & Engn Management Kalamazoo MI USA Al Zawiya Univ Dept Aviat Engn Al Zawiya City Libya Beni Suef Univ Fac Engn Dept Mech Engn Bani Suwayf Egypt
This study attempts to establish a novel statistical and ANN-based decision-making mechanism for appraising hybrid system optimization strategies. An operational strategy and optimization problem for a hybrid, off-gri... 详细信息
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An optimally fast objective-function-free minimization algorithm using random subspaces
arXiv
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arXiv 2023年
作者: Bellavia, S. Gratton, S. Morini, B. Toint, Ph.L. Dipartimento di Ingegneria Industriale Università degli Studi di Firenze Italy Université de Toulouse INP IRIT Toulouse France University of Namur 61 rue de Bruxelles NamurB-5000 Belgium
An algorithm for unconstrained non-convex optimization is described, which does not evaluate the objective function and in which minimization is carried out, at each iteration, within a randomly selected subspace. It ... 详细信息
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Rate of convergence of Thresholding Greedy algorithms
arXiv
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arXiv 2023年
作者: Temlyakov, V.N. Steklov Mathematical Institute of Russian Academy of Sciences Moscow Russia Lomonosov Moscow State University Russia Moscow Center of Fundamental and Applied Mathematics Russia University of South Carolina United States
The rate of convergence of the classical Thresholding Greedy Algorithm with respect to bases is studied in this paper. We bound the error of approximation by the product of both norms - the norm of f and the A1-norm o... 详细信息
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