Suchergebnisse - Distributed Systems General Terms Algorithms

Continuous-Time Algorithm Based on Finite-Time Consensus for Distributed Constrained Convex Optimization von Liu, Hongzhe, Zheng, Wei Xing, Yu, Wenwu

“… The objective is to design a distributed algorithm to cooperatively resolve the optimization problem under the condition that only the information of each node's own local cost function …”
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Convergence Analysis of Distributed Gradient Descent Algorithms With One and Two Momentum Terms von Liu, Bing, Chai, Li, Yi, Jingwen

“… The cost functions are twice continuously differentiable. We first study the algorithm with one momentum term and develop a distributed heavy-ball (D-HB …”
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A two-stage stochastic programming model for the optimal design of distributed energy systems von Zhou, Zhe, Zhang, Jianyun, Liu, Pei, Li, Zheng, Georgiadis, Michael C., Pistikopoulos, Efstratios N.

“… ► The optimal design of distributed energy systems under uncertainty is studied. ► A stochastic model is developed using genetic algorithm and Monte Carlo method …”
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Improving load balancing in distributed software-defined networks with a bidirectional long short-term memory-based controller design von Shirani, Leila, Movahednejad, Homa, Sharifi, Mahdi, Mahmoudi, Marjan

“… In this architecture, the analysis and prediction layer uses a bidirectional long short-term memory-based prediction module that can improve future load prediction accuracy through future–past and past–future analyses …”
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Short-Term Load Forecasting of Distributed Energy System Based on Kernel Principal Component Analysis and KELM Optimized by Fireworks Algorithm von Fan, Yingying, Wang, Haichao, Zhao, Xinyue, Yang, Qiaoran, Liang, Yi

“… Accurate and stable load forecasting has great significance to ensure the safe operation of distributed energy system …”
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Distributed robust fuzzy control for mixed-order multi-agent systems ensuring global consensus von Yang, Xiaoli, Chen, Jiaxi, Gao, Xinbo, Ge, Shuzhi Sam

“… This study investigates the global consensus problem of mixed-order multi-agent systems …”
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Distributed Average Tracking for Lipschitz-Type of Nonlinear Dynamical Systems von Zhao, Yu, Liu, Yongfang, Wen, Guanghui, Yu, Xinghuo, Chen, Guanrong

“… In this paper, a distributed average tracking (DAT) problem is studied for Lipschitz-type of nonlinear dynamical systems …”
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Novel Adaptive Strategies for Synchronization of Linearly Coupled Neural Networks With Reaction-Diffusion Terms von WANG, Jin-Liang, WU, Huai-Ning, LEI GUO

“… In this paper, two types of linearly coupled neural networks with reaction-diffusion terms are proposed …”
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Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis von Xu, Jinming, Tian, Ye, Sun, Ying, Scutari, Gesualdo

“… We study distributed composite optimization over networks: agents minimize a sum of smooth (strongly …”
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Distributed Optimal Coordination for Heterogeneous Linear Multiagent Systems von An, Liwei, Yang, Guang-Hong

“… This article studies the problem of distributed optimal coordination (DOC) for heterogeneous linear multiagent systems …”
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A fast Alikhanov algorithm with general nonuniform time steps for a two‐dimensional distributed‐order time–space fractional advection–dispersion equation von Cao, Jiliang, Xiao, Aiguo, Bu, Weiping

“… In this paper, we propose a fast Alikhanov algorithm with nonuniform time steps for a two dimensional distributed‐order time …”
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CA-DTS: A Distributed and Collaborative Task Scheduling Algorithm for Edge Computing Enabled Intelligent Road Network von Hu, Shi-Hong, Luo, Qu-Yuan, Li, Guang-Hui, Shi, Weisong, Ye, Bao-Liu

“… In this paper, we first model the interactions involved in task scheduling among distributed RSUs as a Markov game …”
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Hybrid Artificial Bee Colony Algorithm for a Parallel Batching Distributed Flow-Shop Problem With Deteriorating Jobs von Li, Jun-Qing, Song, Mei-Xian, Wang, Ling, Duan, Pei-Yong, Han, Yu-Yan, Sang, Hong-Yan, Pan, Quan-Ke

“… In this article, we propose a hybrid artificial bee colony (ABC) algorithm to solve a parallel batching distributed flow-shop problem (DFSP …”
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Toward Packet Routing With Fully Distributed Multiagent Deep Reinforcement Learning von You, Xinyu, Li, Xuanjie, Xu, Yuedong, Feng, Hui, Zhao, Jin, Yan, Huaicheng

“… In this article, we propose a novel packet routing framework based on multiagent deep RL (DRL) in which each router possess an independent long short term memory (LSTM …”
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A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization von Bianchi, Pascal, Hachem, Walid, Iutzeler, Franck

“… The obtained algorithm is used to solve asynchronously a distributed optimization problem. A network of agents, each having a separate cost function containing a differentiable term, seek to find a consensus on the minimum of the aggregate objective …”
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Distributed continuous‐time constrained convex optimization with general time‐varying cost functions von Huang, Bomin, Zou, Yao, Meng, Ziyang

“… The proposed distributed optimization algorithm is composed of a projection map term, a consensus term, and a gradient term, and is feasible for any initial condition …”
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A Novel Artificial Rabbits Optimization Algorithm for Optimal Location and Sizing of Multiple Distributed Generation in Radial Distribution Systems von Sharma, Rajendra Kumar, Naick, Bhukya Krishna

“… The major challenges of the distribution system are optimal location and sizing of distributed generation (OLSDG …”
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Enhancing clean-in-place system sustainability with recurrent neural network and multi-objective optimization techniques von Sislian, R., Allegro, P. R. P., Gedraite, R., Meloni, G. O., Oliveira, P. R. S., Silva, F. V., Toufen, D. L.

“… A Long Short-Term Memory Network (LSTM) was employed to model the process, and the Non-Dominated Sorting Genetic Algorithm II (NSGA-II …”
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Distributed leader–follower flocking control for multi-agent dynamical systems with time-varying velocities von Yu, Wenwu, Chen, Guanrong, Cao, Ming

“… –follower flocking algorithm for multi-agent dynamical systems with time-varying velocities is developed where each agent is governed by second-order dynamics …”
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A distributed spatial–temporal weighted model on MapReduce for short-term traffic flow forecasting von Xia, Dawen, Wang, Binfeng, Li, Huaqing, Li, Yantao, Zhang, Zili

“… –Temporal Weighted K-Nearest Neighbor model, named STW-KNN, in a general MapReduce framework of distributed modeling on a Hadoop platform, to enhance the accuracy and efficiency of short-term traffic flow forecasting …”
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