Search Results - Sub-gradient algorithm~

A genetic algorithm extended modified sub-gradient algorithm for cell formation problem with alternative routings by Ozcelik, Feristah, Saraç, Tugba

“… A hybrid algorithm is proposed to solve this problem. The proposed algorithm hybridises the modified sub-gradient (MSG…”
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Distributed Sub-gradient Algorithms with Limited Communications by Rini, Stefano, Rao, Milind, Goldsmith, Andrea

“… Various sub-gradient algorithms have been developed for this optimization setting for the case in which the global function factorizes as the sum of local functions to be distributed to the nodes…”
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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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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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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…”
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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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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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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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Pegasos: primal estimated sub-gradient solver for SVM by Shalev-Shwartz, Shai, Singer, Yoram, Srebro, Nathan, Cotter, Andrew

“…We describe and analyze a simple and effective stochastic sub-gradient descent algorithm for solving the optimization problem cast by Support Vector Machines (SVM…”
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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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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…”
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An ADMM approach for unit commitment with considering dynamic line rating by Dai, Jiang, Tian, Nianjie, Zhao, Qian, Tang, Chong, Xuan, Peizheng, Cheng, Lanfen

“…To enhance the transmission capabilities in power system scheduling, this paper develops a unit commitment model that incorporates dynamic transmission line capacities and proposes an efficient solving algorithm…”
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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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Distributed Online Convex Optimization With Statistical Privacy by Dai, Mingcheng, Ho, Daniel W. C., Zhang, Baoyong, Yuan, Deming, Xu, Shengyuan

“… This work is the first attempt to integrate such a mechanism into the distributed online (sub)gradient descent algorithm, and then a new algorithm…”
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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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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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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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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.

“… The objective is to minimize the total two-stage transmission power for each user for a given transmission rate, formulate the optimization problem and proposes several algorithms for the allocation…”
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The allocation of berths and quay cranes by using a sub-gradient optimization technique by Zhang, Canrong, Zheng, Li, Zhang, Zhihai, Shi, Leyuan, Armstrong, Aaron J.

“… A mixed integer programming model is constructed, and a sub-gradient optimization algorithm is applied to solving the problem…”
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