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

Distributed Control Algorithms for Solving Large-Scale Optimization Problems of Networked Systems von 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 von 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 von 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 von 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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A genetic algorithm for solving large scale global optimization problems von 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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Exterior-Point Algorithms for Solving Large-Scale Nonlinear Optimization Problems von 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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Integrated Local Search Technique With Reptile Search Algorithm for Solving Large‐Scale Bound Constrained Global Optimization Problems von 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 multi-stage competitive swarm optimization algorithm for solving large-scale multi-objective optimization problems von 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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A Two-Stage Multi-Objective Optimization Algorithm for Solving Large-Scale Optimization Problems von 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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Asynchronous Distributed ADMM for Large-Scale Optimization-Part I: Algorithm and Convergence Analysis von 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 von 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 von 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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Cooperative Coevolution Framework with Recursive Differential Grouping Algorithms for Solving Large-Scale Optimization Problems von 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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A Hybrid Migratory Bird Optimization Algorithm for solving the Large-Scale Flow Shop Scheduling Problem von Yang, Zonglin, Li, Shaoyuan, Yin, Xiaohong

“… To address this, this paper integrates the Migratory Bird Optimization (MBO) algorithm with the Simulated Annealing (SA) algorithm …”
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Gene Suppressor: An added phase toward solving large scale optimization problems in genetic algorithm von Manicassamy, Jayanthi, Sampath Kumar, S., Rangan, Mohana, Ananth, V., Vengattaraman, T., Dhavachelvan, P.

“… ) is a branch of evolutionary algorithm, has proved its effectiveness in solving constrain based complex real world problems in variety of dimensions …”
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Development of Deer Hunting linked Earthworm Optimization Algorithm for solving large scale Traveling Salesman Problem von Kanna, S.K. Rajesh, Sivakumar, K., Lingaraj, N.

“… ) to solve the TSP problem by finding an optimal solution. The proposed EW-DHOA is developed by integrating the two well-performing meta-heuristic algorithms, such as Deer Hunting Optimization Algorithm (DHOA …”
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Efficient Algorithms for Solving Multi-Objective Optimization and Large-Scale Transportation Problems von Herszterg, Ian H

“… However, the size of real-world instances often poses challenges for standard optimization algorithms and, thus, to the tractability of these problems …”
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Enhanced Tunicate Swarm Algorithm for Solving Large-Scale Nonlinear Optimization Problems von Rizk-Allah, Rizk M., Saleh, O., Hagag, Enas A., Mousa, Abd Allah A.

“… Nowadays optimization problems become difficult and complex, traditional methods become inefficient to reach global optimal solutions …”
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An active-set algorithm for solving large-scale nonsmooth optimization models with box constraints von Li, Yong, Yuan, Gonglin, Sheng, Zhou

“… It is well known that the active set algorithm is very effective for smooth box constrained optimization …”
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Reduced Hessian algorithms for solving large-scale equality constrained optimization problems von Xie, Yuanfu

“… function, thus saving a significant amount of storage. In this research we discuss RHSQP algorithms for solving large sparse equality constrained optimization problems …”
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