Search Results - "Sub-gradient algorithm"

Distributed Coordination Load Shedding of Islanded Microgrids Based on Sub-Gradient Algorithm by Wu, Xi, Feng, Shuang, Jiang, Ping

“…) using sub-gradient algorithm of multi-agent system. The main objective is to achieve practical and optimal LS and obtain an optimum amount of load to be shed in a fully distributed manner under large disturbances…”
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A genetic algorithm extended modified sub-gradient algorithm for cell formation problem with alternative routings by Ozcelik, Feristah, Saraç, Tugba

“…This paper addresses the cell formation problem with alternative part routes. The problem is considered in the aspect of the natural constraints of real-life…”
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Stochastic sub-gradient algorithm for distributed optimization with random sleep scheme by Yi, Peng, Hong, Yiguang

“…’ individual objective functions. To solve such an optimization problem, we propose a distributed stochastic sub-gradient algorithm with random sleep scheme…”
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Peer-to-peer decentralized energy trading framework for retailers and prosumers by Mehdinejad, Mehdi, Shayanfar, Heidarali, Mohammadi-Ivatloo, Behnam

“…The smart grid technology has increased the penetration of distributed energy resources by the development and expansion of communication infrastructures and…”
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Performance limits of stochastic sub-gradient learning, part II: Multi-agent case by Ying, Bicheng, Sayed, Ali H.

“…•A novel sub-gradient assumption is proposed.•New convergence and steady-state performance is been proved under the diffusion strategy.•Multiple examples with…”
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Joint Optimization for Quality Selection and Resource Allocation of Live Video Streaming in Internet of Vehicles by Dai, Penglin, Wu, Meiting, Li, Ke, Wu, Xiao, Ding, Yan

“…Live Video Streaming (LVS) services are critical in supporting real-time applications in Internet of Vehicles (IoV) by transmitting real-time generated video…”
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Convergence Analysis of a Distributed Optimization Algorithm with a General Unbalanced Directed Communication Network by Li, Huaqing, Lu, Qingguo, Huang, Tingwen

“…In this paper, we discuss a class of distributed constrained optimization problems in power systems where the target is to optimize the sum of all agents’…”
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Distributed optimisation for resource allocation with event-triggered communication over general directed topology by Shi, Xiasheng, Wang, Yuandong, Song, Sumian, Yan, Gangfeng

“… and its state value is bounded. The distributed sub-gradient algorithm aims to minimise the total cost by a distributed manner while achieving an optimal solution…”
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Using general triangle inequalities within quadratic convex reformulation method by Lambert, Amélie

“…We consider the exact solution of Problem (P) which consists in minimizing a quadratic function subject to quadratic constraints. We start with an explicit…”
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Power Allocation Schemes Based on Deep Learning for Distributed Antenna Systems by Qian, Gongbin, Li, Zhukun, He, Chunlong, Li, Xingquan, Ding, Xue

“…In recent years, a lot of power allocation algorithms have been proposed to maximize spectral efficiency (SE) and energy efficiency (EE) for the distributed…”
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Supply chain networks design with multi-mode demand satisfaction policy by Ardalan, Zaniar, Karimi, Sajad, Naderi, B., Arshadi Khamseh, Alireza

“…•This paper deals with a supply chain network design with multi-mode demand.•The problem is mathematically formulated as mixed integer linear programming.•A…”
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Distributed Projection Sub-gradient Algorithm over General Directed Graphs with Compressed Communication by Fan, Jing, Li, Jueyou, Chen, Lanlan

“… To tackle this issue, we propose a quantized distributed projection sub-gradient algorithm (Q-DPSG…”
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Transmit power allocation of energy transmitters for throughput maximisation in wireless powered communication networks by Yu, Zhanwei, Chi, Kaikai, Zheng, Kechen, Li, Yanjun, Cheng, Zhen

“… Specifically, for the sum-throughput maximisation (STM) problem, they firstly formulate it to be a non-linear optimisation problem, then prove its convexity and finally propose an efficient dual sub-gradient algorithm to solve…”
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Variable selection and collinearity processing for multivariate data via row-elastic-net regularization by Chen, Bingzhen, Zhai, Wenjuan, Kong, Lingchen

“… Based on the KKT condition, an accelerated proximal sub-gradient algorithm is designed to solve the proposed model and its convergency is also established…”
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Optimum power allocation by using sub-gradient algorithm in Orthogonal Frequency Division Multiple Access Systems by Anto Bennet, M., Lokesh, S., Janaki, P., Durga Devi, M., Kumudha, V., Midhula, S.

“…Muti-user resource allocation for cooperative OFDM systems is proposed for use in multi-user situations. The objective is to minimize the total two-stage…”
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Efficient spectrum scheduling and power management for opportunistic users by Masmoudi, Raouia, Belmega, E. Veronica, Fijalkow, Inbar

“…In this paper, we study the centralized spectrum access and power management for several opportunistic users, secondary users (SUs), without hurting the…”
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Transmission Optimization of Wireless Visual Sensor Networks with Compressed Sensing Encoder by Han, Yu Tong, Gao, Zhimin, Su, Xin, You, Lei

“…The design and optimization of wireless visual sensor network (WVSN) is challenging due to error-prone wireless link, limited resource and low computational…”
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Determining the parameters of MSG algorithm for multi period layout problem by Ulutas, Berna, Saraç, Tugba

“…Purpose - The facility layout problem aims to assign machines departments to locations and modeled as a quadratic assignment problem (QAP). Multi period…”
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A sub-gradient algorithm for maximal data extraction in energy-limited wireless sensor networks by Wei Ye, Ordonez, F.

“…We present an efficient and implementable algorithm for maximizing data extraction from energy limited wireless sensor networks. A distinguishing feature of…”
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Optimal bandwidth allocation for multi-spot-beam satellite communication systems by Heng Wang, Aijun Liu, Xiaofei Pan, Luliang Jia

“… Then we used sub-gradient algorithm to search the Lagrange multiplier and obtained the optimal bandwidth allocation for each spot beam…”
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