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检索条件"主题词=Linear Program"
322 条 记 录,以下是41-50 订阅
排序:
Improving Algorithms for Decision Making with the Hurwicz Criterion  12
Improving Algorithms for Decision Making with the Hurwicz Cr...
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12th International Symposium on Imprecise Probabilities - Theories and Applications (ISIPTA)
作者: Nakharutai, Nawapon Troffaes, Matthias C. M. Chiang Mai Univ Fac Sci Dept Stat Chiang Mai Thailand Univ Durham Dept Math Sci Durham England
We propose two improved algorithms for evaluating the Hurwicz criterion in the context of decision making with lower previsions, along with a new benchmarking algorithm for measuring these improvements. The Hurwicz cr... 详细信息
来源: 评论
Assessment of two optimisation methods for renewable energy capacity expansion planning
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APPLIED ENERGY 2022年 第PartA期306卷 117988-117988页
作者: Keck, Felix Juette, Silke Lenzen, Manfred Li, Mengyu Univ Sydney Sch Phys A28 ISA Sydney NSW 2006 Australia IU Int Univ Appl Sci Bad Honnef Germany
When deciding on a country's future energy policy, it is essential to accurately estimate the future generation mix and technology costs, as well as future generation site locations in electricity power grids. Thi... 详细信息
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A New Integer programming Formulation of the Graphical Traveling Salesman Problem  22nd
A New Integer Programming Formulation of the Graphical Trave...
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22nd International Conference on Integer programming and Combinatorial Optimization (IPCO)
作者: Carr, Robert D. Simonetti, Neil Univ New Mexico Dept Comp Sci Albuquerque NM 87131 USA Bryn Athyn Coll Business Comp Sci & Math Dept Bryn Athyn PA 19009 USA
In the Traveling Salesman Problem (TSP), a salesman wants to visit a set of cities and return home. There is a cost c(ij) of traveling from city i to city j, which is the same in either direction for the Symmetric TSP... 详细信息
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A new structural reliability analysis method under non-parameterized probability box variables
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STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION 2022年 第11期65卷 322-322页
作者: Xie, Huichao Li, Jinwen Liao, Daihui Cent South Univ Forestry & Technol Coll Mat Sci & Engn Changsha 410004 Peoples R China Cent South Univ Forestry & Technol Coll Mech & Elect Engn Changsha 410004 Peoples R China
The probability box (P-box) model is an effective quantification tool that can deal with aleatory and epistemic uncertainties and can generally be categorized into two classes, namely, parameterized P-box and non-para... 详细信息
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On Optimizing Max Min Rate in Rechargeable Wireless Sensor Networks with Energy Sharing
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING
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IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING 2020年 第1期5卷 107-120页
作者: He, Tengjiao Chin, Kwan-Wu Soh, Sieteng Yang, Changlin Jinan Univ Coll Informat Sci & Technol Guangzhou 510000 Peoples R China Univ Wollongong Sch Elect Comp & Telecommun Engn Wollongong NSW 2522 Australia Curtin Univ Sch Elect Engn Comp & Math Sci Perth WA 6102 Australia Zhongyuan Univ Technol Sch Comp Sci Zhengzhou 451191 Henan Peoples R China
We consider Rechargeable Wireless Sensor Networks (R-WSNs) where nodes harvest energy from both solar and the Radio Frequency (RF) transmissions of their neighbors. Our aim is to maximize the minimum source or sensing... 详细信息
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INVERSE OPTIMAL TRANSPORT
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SIAM JOURNAL ON APPLIED MATHEMATICS 2020年 第1期80卷 599-619页
作者: Stuart, Andrew M. Wolfram, Marie-Therese CALTECH Pasadena CA 91125 USA Univ Warwick Coventry CV4 7AL W Midlands England Austrian Acad Sci RICAM Linz 4040 Australia
Discrete optimal transportation problems arise in various contexts in engineering, the sciences, and the social sciences. Often the underlying cost criterion is unknown, or only partly known, and the observed optimal ... 详细信息
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Adjustive linear Regression and Its Application to the Inverse QSAR
Adjustive Linear Regression and Its Application to the Inver...
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13th International Conference on Bioinformatics Models, Methods and Algorithms (BIOINFORMATICS) held as part of 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC)
作者: Zhu, Jianshen Haraguchi, Kazuya Nagamochi, Hiroshi Akutsu, Tatsuya Kyoto Univ Dept Appl Math & Phys Kyoto 6068501 Japan Kyoto Univ Bioinformat Ctr Inst Chem Res Uji 6110011 Japan
In this paper, we propose a new machine learning method, called adjustive linear regression, which can be regarded as an ANN on an architecture with an input layer and an output layer of a single node, wherein an erro... 详细信息
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Solving linear programs in the Current Matrix Multiplication Time  2019
Solving Linear Programs in the Current Matrix Multiplication...
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51st Annual ACM SIGACT Symposium on Theory of Computing (STOC)
作者: Cohen, Michael B. Lee, Yin Tat Song, Zhao MIT Cambridge MA 02139 USA Microsoft Res Redmond WA 98052 USA Univ Washington Seattle WA 98195 USA UT Austin Austin TX USA
This paper shows how to solve linear programs of the form min(Ax=b, x >= 0) c (inverted perpendicular) x with n variables in time O*((n(omega) + n(2.5-alpha/2) + n(2+1/6)) log(n/delta)) where omega is the exponent ... 详细信息
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BREAKING 1-1/e BARRIER FOR NONPREEMPTIVE THROUGHPUT MAXIMIZATION
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SIAM JOURNAL ON DISCRETE MATHEMATICS 2020年 第3期34卷 1649-1669页
作者: Im, Sungjin Li, Shi Moseley, Benjamin Univ Calif Elect Engn & Comp Sci Merced CA 95343 USA Univ Buffalo Buffalo NY 14221 USA Carnegie Mellon Univ Pittsburgh PA 15213 USA
In this paper we consider one of the most basic scheduling problems where jobs have their respective arrival times and deadlines. The goal is to schedule as many jobs as possible nonpreemptively by their respective de... 详细信息
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Size Constrained Clustering With MILP Formulation
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IEEE ACCESS 2020年 8卷 1587-1599页
作者: Tang, Wei Yang, Yang Zeng, Lanling Zhan, Yongzhao Jiangsu Univ Sch Comp Sci & Commun Engn Zhenjiang 212013 Jiangsu Peoples R China
Clustering is one of the essential tools for data mining since it reveals the natural structures of the unlabeled data. Many clustering algorithms have been proposed in the last decades. However, few of them are desig... 详细信息
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