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检索条件"主题词=Linear Programming"
36139 条 记 录,以下是4921-4930 订阅
排序:
Effective Capacity of a Battery Energy Storage System Captive to a Wind Farm
Effective Capacity of a Battery Energy Storage System Captiv...
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Grid Edge Technologies Conference & Exposition (Grid Edge), IEEE PES
作者: Vinay A. Vaishampayan Thilaharani Antony Amirthagunaraj Yogarathnam Faculty of the Engineering and Environmental Science College of Staten Island-City University of New York NY USA Interdiscivlinary Science Department Brookhaven National Laboratory Upton NY USA
Wind energy's role in the global electric grid is set to expand significantly. New York State alone anticipates offshore wind farms (WFs) contributing 9GW by 2035. Integration of energy storage emerges as crucial ... 详细信息
来源: 评论
A Class of Algorithms for Solving LP Problems by Prioritizing the Constraints
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American Journal of Operations Research 2023年 第6期13卷 177-205页
作者: Dimitris G. Tsarmpopoulos Christina D. Nikolakakou George S. Androulakis Department of Business Administration University of Patras Patras Greece Department of Digital Systems University of the Peloponnese Sparta Greece
linear programming is a method for solving linear optimization problems with constraints, widely met in real-world applications. In the vast majority of these applications, the number of constraints is significantly l... 详细信息
来源: 评论
Music Note Feature Recognition based on Dynamic Time Warping Algorithm
Music Note Feature Recognition based on Dynamic Time Warping...
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Image Processing, Electronics and Computers (IPEC), Asia-Pacific Conference on
作者: Weida Su School of Music and Dance Mudanjiang Normal University Mudanjiang China
Traditional methods for classifying and recognizing musical note features suffer from low accuracy. In response, we propose a music note feature recognition method leveraging the Dynamic Time Warping (DTW) algorithm. ... 详细信息
来源: 评论
Research on Multi-Objective Recipe Optimization Design Based on Genetic Algorithm and NSGA-II
Research on Multi-Objective Recipe Optimization Design Based...
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Electronics and Devices, Computational Science (ICEDCS), International Conference on
作者: Caoyan Wang Haorui Tan Yusheng Lai Yixuan Wang Maynooth International Engineering College Fuzhou University Fuzhou China
This paper presents a study on the optimization of recipes based on genetic algorithms and NSGA-II for multi-objective design. To address recipe optimization under different objectives, the study divides the optimizat... 详细信息
来源: 评论
Extending adversarial attacks to produce adversarial class probability distributions
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2023年 第1期24卷 491-532页
作者: Jon Vadillo Roberto Santana Jose A. Lozano Department of Computer Science and Artificial Intelligence University of the Basque Country UPV/EHU Donostia Spain Department of Computer Science and Artificial Intelligence University of the Basque Country UPV/EHU Donostia Spain and Basque Center for Applied Mathematics Bilbao Spain
Despite the remarkable performance and generalization levels of deep learning models in a wide range of artificial intelligence tasks, it has been demonstrated that these models can be easily fooled by the addition of... 详细信息
来源: 评论
Efficient Hyperparameter Optimization Using Deep Q-Network and BRKGA
Efficient Hyperparameter Optimization Using Deep Q-Network a...
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Congress on Evolutionary Computation
作者: Kosei Kobayashi Masayoshi Aritsugi Pedro Henrique González Israel Mendonça Graduate School of Science and Technology Kumamoto University Kumamoto Japan Faculty of Advanced Science and Technology Kumamoto University Kumamoto Japan System Engineering and Computer Science Program Federal University of Rio de Janeiro Rio de Janeiro Brazil
Hyperparameter optimization (HPO) is paragon to maximize performance when designing machine learning models. Among different HPO methods, Genetic Algorithm (GA) based optimization is considered effective because it al... 详细信息
来源: 评论
Autonomous Localization Method for Railway Trains Based on Multi-Source Information Fusion
Autonomous Localization Method for Railway Trains Based on M...
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Electronic Engineering and Information Systems (EEISS), International Conference on
作者: Hanxuan Zhang Ju Huo Muyao Xue Jianbao Zhou School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China Shanghai Space Propulsion Technology Research Institute Shanghai China Harbin Nuoxin University of Technology Measurement and Control Technology Co. Ltd. Harbin China
Aiming at the problems of high cost and difficult maintenance in the practical application of the traditional "vehicle-ground cooperation" train positioning technology in special section railway projects. In... 详细信息
来源: 评论
Multi-Objective Energy Optimization in Smart Distribution Network Considering Renewable Energy and Battery Storage System
Multi-Objective Energy Optimization in Smart Distribution Ne...
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Electrical Power Engineering, Communication and Computing Technology(ODICON), Odisha International Conference on
作者: Sigma Ray Kumari Kasturi Manas Ranjan Nayak Subhadra Sahoo Manoj Kumar Debnath Narendra Kumar Jena Department of Electrical Engg. Siksha ‘O’ Anusandhan University Bhubaneswar India Department of Electrical Engg. Biju Patnaik University of Technology Rourkela India
In modern power systems, photovoltaic (PV) and battery energy storage systems (BESS) must be adopted appropriately due to their complicated inherent characteristics. This paper has constructed a multi-objective optimi... 详细信息
来源: 评论
Genetic Column Generation for Computing Lower Bounds for Adversarial Classification
arXiv
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arXiv 2024年
作者: Penka, Maximilian Department of Mathematics Technische Universität München Germany
Recent theoretical results on adversarial multi-class classification showed a similarity to the multi-marginal formulation of Wasserstein-barycenter in optimal transport. Unfortunately, both problems suffer from the c... 详细信息
来源: 评论
HALO: Robust Out-of-Distribution Detection via Joint Optimisation
HALO: Robust Out-of-Distribution Detection via Joint Optimis...
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Secure and Trustworthy Machine Learning (SaTML), IEEE Conference on
作者: Hugo Lyons Keenan Sarah Erfani Christopher Leckie School of Computing and Information Systems The University of Melbourne Victoria Australia
Effective out-of-distribution (ODD) detection is crucial for the safe deployment of machine learning models in real-world scenarios. However, recent work has shown that ODD detection methods are vulnerable to adversar... 详细信息
来源: 评论