Search Results - Distributed control algorithms for solving large-scale optimization problems of network system

Distributed Control Algorithms for Solving Large-Scale Optimization Problems of Networked Systems by Ogwuru, Judith

“… This dissertation considers the development and application of distributed techniques capable of handling control/optimization problems of these systems…”
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Scalable distributed least square algorithms for large-scale linear equations via an optimization approach by Huang, Yi, Meng, Ziyang, Sun, Jian

“…This paper proposes scalable distributed least square algorithms for solving large-scale linear algebraic equations via multi-agent network…”
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Asynchronous Distributed ADMM for Large-Scale Optimization- Part I: Algorithm and Convergence Analysis by Tsung-Hui, Chang, Hong, Mingyi, Wei-Cheng, Liao, Wang, Xiangfeng

“…Aiming at solving large-scale learning problems, this paper studies distributed optimization methods based on the alternating direction method of multipliers (ADMM…”
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A combined SQP–IPM algorithm for solving large-scale nonlinear optimization problems by Sachsenberg, Björn, Schittkowski, Klaus

“…We consider a combined IPM–SQP method to solve smooth nonlinear optimization problems, which may possess a large number of variables and a sparse Jacobian matrix of the constraints…”
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Exterior-Point Algorithms for Solving Large-Scale Nonlinear Optimization Problems by Bloom, Veronica J

“… First, a numerically efficient algorithm for solving large scale optimization problems based on exterior point methods is investigated…”
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A genetic algorithm for solving large scale global optimization problems by Shahab, M L, Azizi, F, Sanjoyo, B A, Irawan, M I, Hidayat, N, Rukmi, A M

“… In this research, we propose a genetic algorithm that can be used to solve large scale optimization problems with dimensions up to 100000…”
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Integrated Local Search Technique With Reptile Search Algorithm for Solving Large‐Scale Bound Constrained Global Optimization Problems by Abu‐Hashem, Muhannad A., Shehab, Mohammad, Shambour, Mohd Khaled, Abualigah, Laith

“…The Reptile Search Algorithm (RSA) is a powerful modern optimization technique that effectively solves intricate problems across various fields…”
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A Two-Stage Multi-Objective Optimization Algorithm for Solving Large-Scale Optimization Problems by Liu, Jiaqi, Liu, Tianyu

“…For large-scale multi-objective optimization, it is particularly challenging for evolutionary algorithms to converge to the Pareto Front…”
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A multi-stage competitive swarm optimization algorithm for solving large-scale multi-objective optimization problems by Shang, Qingxia, Tan, Minzhong, Hu, Rong, Huang, Yuxiao, Qian, Bin, Feng, Liang

“…Hundreds or thousands of decision variables are involved in large-scale multi-objective optimization problems (LSMOPs…”
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Asynchronous Distributed ADMM for Large-Scale Optimization-Part I: Algorithm and Convergence Analysis by Chang, Tsung-Hui, Hong, Mingyi, Liao, Wei-Cheng, Wang, Xiangfeng

“…Aiming at solving large-scale optimization problems, this paper studies distributed optimization methods based on the alternating direction method of multipliers (ADMM…”
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Large scale experiment and optimization of a distributed stochastic control algorithm. Application to energy management problems by Vezolle, P., Vialle, S., Warin, X.

“… algorithm usually used after this optimization part. We focus on distributed architectures with shared memory multi-core nodes, and we design a multiparadigm parallel algorithm, implemented with both MPI and multithreading mechanisms…”
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Solving Large-Scale Function Optimization Problem by Using a New Metaheuristic Algorithm Based on Quantum Dolphin Swarm Algorithm by Qiao, Weibiao, Yang, Zhe

“…Meta-heuristic algorithm has been a research hotspot in solving the optimal solution of large-scale functions…”
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An active-set algorithm for solving large-scale nonsmooth optimization models with box constraints by Li, Yong, Yuan, Gonglin, Sheng, Zhou

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Massively Parallel Lagrangian Relaxation Algorithm for Solving Large-Scale Spatial Optimization Problems Using GPGPU by Lei, Ting L., Wang, Rongrong, Lei, Zhen

“…Lagrangian Relaxation (LR) is an effective method for solving spatial optimization problems in geospatial analysis and GIS…”
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Towards Solving Large-scale Expensive Optimization Problems Efficiently Using Coordinate Descent Algorithm by Rahnamayan, Shahryar, Mousavirad, Seyed Jalaleddin

“… There is no efficient surrogate model to support large-scale expensive global optimization (LSEGO) problems. As a result, the algorithms should address LSEGO problems using a limited computational budget to be applicable…”
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An active-set algorithm for solving large-scale nonsmooth optimization models with box constraints by Li, Yong, Yuan, Gonglin, Sheng, Zhou

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Solving Large-scale Quadratic Programs with Tensor-train-based Algorithms with Application to Trajectory Optimization by Miculescu, David, Karaman, Sertac

“… The algorithm, called TT-IPM, requires much less memory, even when compared to IPMs that utilize sparse arrays, and is able to solve large-scale QPs…”
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Learning-Driven Algorithm With Dual Evolution Patterns for Solving Large-Scale Multiobjective Optimization Problems by Song, Mingshuo, Song, Wei, Wee Lai, Khin

“…Recently, a series of evolutionary algorithms have been proposed to enhance the search efficiency when handling large-scale multiobjective optimization problems (LSMOPs…”
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Towards Solving Large-scale Expensive Optimization Problems Efficiently Using Coordinate Descent Algorithm by Rahnamayan, Shahryar, Mousavirad, Seyed Jalaleddin

“… There is no efficient surrogate model to support large-scale expensive global optimization (LSEGO) problems. As a result, the algorithms should address LSEGO problems using a limited computational budget to be applicable…”
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Cooperative Coevolution Framework with Recursive Differential Grouping Algorithms for Solving Large-Scale Optimization Problems by Berkovic, Klemen, Boskovic, Borko, Brest, Janez

“… The main challenges of cooperative coevolution lie in problem decomposition and the use of a suitable optimization algorithm…”
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