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检索条件"主题词=Mixed-integer linear programming"

共 2279 条记录，以下是591-600 订阅

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AMPA: Adaptive mixed Precision Allocation for Low-Bit integer Training 41

AMPA: Adaptive Mixed Precision Allocation for Low-Bit Intege...

引用

41st International Conference on Machine Learning, ICML 2024

作者： Ding, Li Fei, Wen Huang, Yuyang Ding, Shuangrui Dai, Wenrui Li, Chenglin Zou, Junni Xiong, Hongkai School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Department of Information Engineering The Chinese University of Hong Kong Shatin NT Hong Kong

Low-bit integer training emerges as a promising approach to mitigate the heavy burden during network training by quantizing the weights, activations, and gradients. However, existing methods cannot well achieve mixed-precision quantization for low-bit training and are commonly limited to INT8 precision. In this paper, we propose a novel low-bit integer training framework that, for the first time, achieves adaptive mixed-precision allocation (AMPA) for weights, activations, and gradients, and pushes the boundaries to a precision level below INT8. We develop a novel magnitude-based sensitivity measurement with regard to the quantization losses of weight, activation, and gradient quantization and the average gradient magnitudes, which is demonstrated as an upper bound of quantization influence in theory. We further design a layer-wise precision update strategy under observations on the quantization losses and their effects on model performance in low-bit training. Extensive experiments on different backbones and datasets show that, compared to INT8 quantization, the proposed method can achieve more than 38% BitOPs reduction with a tolerable loss below 2% in image classification, image segmentation, and language modeling. Copyright 2024 by the author(s)

关键词： mixed-integer linear programming

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Considering Disturbance Scenarios in Clustered Inertia-Aware Generation Expansion Planning

Considering Disturbance Scenarios in Clustered Inertia-Aware...

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2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Alaya, Oussama Ali, Taiseer Alhaj Jahn, Benedikt Lens, Hendrik University of Stuttgart Faculty 4 Ifk Power Generation and Automatic Control Group Germany

ISBN: (纸本)9789531842976

The transition to a carbon-neutral power system requires replacing conventional generation with distributed renewable energy (RE) sources. This poses challenges related to reduced system inertia and large and long-distance power transmission in the system. This paper presents a novel generation expansion planning (GEP) methodology called inertia-aware clustered generation expansion planning (I-CGEP). The I-CGEP approach integrates spatial clustering and generator clustering to optimize discrete generation expansion options while avoiding overestimation of system inertia. The model incorporates advanced Rate of Change of Frequency (RoCoF) constraints that, in addition to standard constraints following predefined outages, also account for the expected power imbalance resulting from large disturbance scenarios such as regional islanding. The entire problem is formulated as a mixed-integer linear programming (MILP) problem. The proof of concept of the methodology is demonstrated using the open European transmission system model PyPSA-Eur. The results show its suitability for maintaining the required RoCoF under different scenarios. © 2024 IEEE.

关键词： mixed-integer linear programming

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Optimization of the design and operation of low-carbon aggregated energy systems 4

Optimization of the design and operation of low-carbon aggre...

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4th EAGE Digitalization Conference and Exhibition

作者： Sala, S. Amendola, A. Gioco, G. Primato, M. Aceto, C. Belverato, D. Martelli, E. Dipierro, V. Alpegiani, F. Eni Spa Italy Politecnico di Milano Italy

ISBN: (纸本)9789462824850

The so-called Aggregated Energy Systems (AES) represent an opportunity to satisfy the energy demand more efficiently, and economically with respect to traditional energy systems. For instance, this may be achieved by the integration of variable (renewable) and dispatchable energy sources (e.g. gas turbines), possibly integrated with both seasonal and short-duration storage systems. To support optimal design and operation of AES, optimization tools based on a linear programming (LP) or mixed-integer linear programming (MILP) formulation are commonly employed. In this work, we have developed a MILP optimization model tailored to the design of utilities systems for heat and power generation in upstream facilities. The tool is suitable for particularly challenging scenarios (e.g. FPSOs) where traditional generation is integrated with variable renewables. © 4th EAGE Digitalization Conference and Exhibition 2024.

关键词： mixed-integer linear programming

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Deployment of Dynamic Defense Strategies for Multiple Devices in the Industrial Internet Based on Zero Trust

Deployment of Dynamic Defense Strategies for Multiple Device...

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2024 China Automation Congress, CAC 2024

作者： Wang, Mo Gao, Jianlei Li, Yun Wang, Zhe Gong, Tianyu China Industrial Control Systems Cyber Emergency Response Team Beijing China

ISBN: (纸本)9798350368604

This paper proposes an algorithm for deploying dynamic defense strategies on multiple devices in the industrial Internet based on zero trust, aiming at coping with complex and ever-changing security challenges. Malicious devices are identified through a submodular optimization algorithm, and defense strategies are dynamically allocated using mixed integer programming to ensure efficient protection of the system. This paper describes in detail the malicious devices feature analysis, the reverse strategy deviation algorithm, and the defense strategy allocation model, and verifies the effectiveness of the proposed algorithm through simulation experiments. The results show that the algorithm can maximize the security of the system under limited resources, respond to changes in device priorities and task requirements in real-time, and provide a new solution for security protection in the industrial Internet environment. © 2024 IEEE.

关键词： mixed-integer linear programming

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Probabilistic Safety Verification of Stochastic Hybrid Systems Using Probably Approximately Correct Barrier Certificates

Probabilistic Safety Verification of Stochastic Hybrid Syste...

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2024 International Conference on Intelligent Computing and Data Mining, ICDM 2024

作者： Yang, Zixuan East China Normal University Software Engineering Institute Shanghai China

ISBN: (纸本)9798331506261

The probabilistic safety verification problem of stochastic hybrid systems is very important. In this paper, for a given stochastic hybrid system, an algorithm for generating probabilistic barrier certificates is proposed to verify the safety of the system. By solving the mixed integer programming model, the solution of probabilistic barrier certificate is transformed into an optimization problem. This paper implements the probabilistic barrier certificate generation tool PBC and evaluates its performance on three benchmark systems. Experimental results show that compared with the existing methods PBCG, PBC can verify the safety of the system with a higher success probability. © 2024 IEEE.

关键词： mixed-integer linear programming

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A HEURISTIC ALGORITHM FOR SOLVING LOAD-DEPENDENT VEHICLE ROUTING PROBLEM 51

A HEURISTIC ALGORITHM FOR SOLVING LOAD-DEPENDENT VEHICLE ROU...

引用

51st International Conference on Computers and Industrial Engineering, CIE 2024

作者： Trang, N.T. Tai, P.D. Buddhakulsomsiri, J. Parthanadee, P. School of Manufacturing Systems and Mechanical Engineering Sirindhorn International Institute of Technology Thammasat University Pathum Thani12000 Thailand Department of Agro-Industrial Technology Faculty of Agro-Industry Kasetsart University Bangkok Thailand

This paper explores a class of vehicle routing problems that considers the load-dependent distance objective function instead of the total distance. The problem, originating from Thailand's e-commerce delivery business, is formulated as a mixed-integer linear programming model. Since only problem instances of small scale can be solved using the mathematical model, a heuristic algorithm is developed to handle large-scale instances. The algorithm features a load-dependent distance savings algorithm for clustering, and the mathematical model is used for the re-optimization of each cluster. The effectiveness of both the exact method and heuristic is evaluated on several problem instances modified from a standard library. The results indicate that the heuristic can reach near-optimal solutions for instances with known optimal solutions. For those with only lower bounds, solutions from the heuristic show relatively small gaps compared to that of the MILP. In terms of computational time, it is observed that the heuristic algorithm takes a significantly shorter time, especially for larger problem instances, to find a solution than does the mathematical model. © 2024 Computers and Industrial Engineering. All rights reserved.

关键词： mixed-integer linear programming

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Research on motion planning of 6-DOF manipulator based on optimization algorithm 4

Research on motion planning of 6-DOF manipulator based on op...

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4th International Symposium on Artificial Intelligence and Intelligent Manufacturing, AIIM 2024

作者： Zhang, Saiyang Huang, Junwei Li, Yaoyu Zhou, Yunzhao Feng, Yueqi Hebei Finance University Baoding China Southwest University of Science and Technology Mianyang China Wuhan Institute of Technology Wuhan China Hohai University Nanjing China

ISBN: (纸本)9798331541729

This study focuses on the motion planning of a 6-DOF robot arm in complex task scenarios, and deeply explores the key issues such as kinematic modeling, joint Angle path optimization, energy consumption minimization, and obstacle avoidance. By constructing the inverse kinematics model, using particle swarm optimization algorithm, combining mixed integer linear programming and A * algorithm, multi-objective genetic algorithm and hierarchical optimization strategy, the efficient motion planning of robot arm under different task requirements is realized. The research results show that the proposed model and algorithm significantly improve the performance and energy efficiency of the robot arm, which provides strong support for its wide application in industrial automation and other fields. © 2024 IEEE.

关键词： mixed-integer linear programming

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Optimal Flow User Connectivity Through Switches to Destiny Nodes in a Software-Defined Network 26

Optimal Flow User Connectivity Through Switches to Destiny N...

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2024 IEEE International Conference on Automation/26th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2024

作者： Viveros, Andŕes Adasme, Pablo Cordero, Sergio Juan, Enrique San Universidad de Santiago de Chile Chile Department of Electrical Engineering Santiago Chile

ISBN: (纸本)9798350378115

This article examines the management of user traffic to the network access point and within the network, from the user's access point to the destination server containing the required information. This study is conducted within the architecture of Software-Defined Networks (SDN). Two models are analyzed. The first model aims to minimize latency from the user to the network access point and within the network to retrieve information from the server while also minimizing the number of controllers. This model has a quadratic relationship between switches and controllers, which could affect performance. Subsequently, the second model linearizes the quadratic relationship. The goal is to manage the network by minimizing user access latency, considering that users will select the connection point with the minimum distance from the network access points to the destination server. For our research, we used 13 real Benchmark networks subject to extensive tests using our models and the computational power of the Gurobi software to find solutions. This work represents a pioneering effort in mathematical optimization related to the problem of how to manage the flow of user data from the point where the user connects to the network. The study focuses on doing this within a network that uses SDN technology. Detailed analysis of the test results shows that the models' effectiveness is closely linked to the network's scale. Additionally, compared to the first, the second model's performance generally performs worse in larger networks. These insights offer a deep understanding of the models' functionalities and optimization dynamics. They are finally, enhancing network efficiency and performance in SDNs. © 2024 IEEE.

关键词： mixed-integer linear programming

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Waste-Free Energy Management in an Islanded Microgrid with Hydrogen Storage 2nd

Waste-Free Energy Management in an Islanded Microgrid with...

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2nd International Conference on Green Energy Conversion System, ICGECS 2023

作者： Gauché, Adrien Chenouard, Raphaël Morin, David Ghanes, Malek Nantes Université École Centrale Nantes CNRS LS2N UMR 6004 Nantes44000 France S.A. PowiDian La Ville-aux-Dames37700 France

ISBN: (纸本)9789819761470

This paper addresses the challenges associated with modeling storage systems and characteristics of hydrogen in the planning of island microgrids powered solely by renewable generation. We propose a novel mixed-integer linear programming (MILP) formulation that accounts for the non-constant efficiency of hydrogen chain storage, aiming to minimize error between Energy Management System (EMS) control and grid performance. Furthermore, our formulation incorporates flexible constraints to effectively manage surplus energy and mitigate energy wastage in scenarios with limited available resources. Through this research, we contribute to the development of optimized planning strategies for island microgrids, facilitating the integration of renewable energy sources and enhancing their operational efficiency. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： mixed-integer linear programming

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Optimal MBU Positioning under Fault Scenario for Distribution Networks with high PV Penetration 14

Optimal MBU Positioning under Fault Scenario for Distributio...

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14th Mediterranean Conference on Power Generation Transmission, Distribution and Energy Conversion, MEDPOWER 2024

作者： Caruana, Cedric Bhattacharya, Somesh Raute, Reiko Micallef, Alexander Scerri, Kenneth Department of Electrical Engineering Faculty of Engineering University of Malta Msida Malta Department of Systems and Control Faculty of Engineering University of Malta Malta

ISBN: (纸本)9781837242689

Faults on distribution networks due to abnormal weather events can lead to disruption and can cause high socio-economic losses. In line with the rising frequency of such events, the paper proposes an algorithm for the optimal deployment of mobile battery units to restore sections of the network. The considered battery units are rated at 1MVA to keep them realistic for the mobile application. The placement algorithm is formulated as a mixed integer mathematical optimisation problem. Sectionalising/tie switches are assumed on each branch of the network in order to increase the restoration configuration flexibility. Photovoltaic systems, distributed along the network, are allowed to contribute to the restored network sections. A number of critical loads are defined and these are prioritised in the restoration process. The objective function also considers the reduction of the overall renewable energy curtailment. The performance of the algorithm is tested on the IEEE 33 bus network with four tie lines. Scenarios with increasing levels of PV power are considered and the effect of incorporating the PV power is studied. © The Institution of Engineering & Technology 2024.

关键词： mixed-integer linear programming

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