Showing 1 - 20 results of 410 for search 'adaptive more distribution optimization', query time: 0.18s Refine Results
  1. 1

    Distributed Adaptive Optimization for Generalized Linear Multiagent Systems by Shuxin Liu, Haijun Jiang, Liwei Zhang, Xuehui Mei

    Published 2019-01-01
    “…In this paper, the edge-based and node-based adaptive algorithms are established, respectively, to solve the distribution convex optimization problem. …”
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    Adaptive energy loss optimization in distributed networks using reinforcement learning-enhanced crow search algorithm by S. Bharath, A. Vasuki

    Published 2025-04-01
    “…The novel RL-CSA enables real-time adaptability and intelligent optimization for energy loss reduction in distributed networks. …”
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    Adaptive data driven multi period power supply recovery method for distribution networks by Xi Ye, Meng Yang, Zhihong Yang, Qing Xiang, Yazhuo Li

    Published 2025-05-01
    “…Finally, simulations on the improved IEEE-33 bus system and actual example systems verify that the adaptive data driven power supply recovery model for distribution networks can reduce conservatism and improve the robustness of the optimization results. …”
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    Conditional distributionally robust dispatch for integrated transmission-distribution systems via distributed optimization by Jie Li, Xiuli Wang, Zhicheng Wang, Zhenzi Song

    Published 2025-05-01
    “…This paper closes this gap by proposing a conditional distributionally robust optimization (DRO) method for ITDSs. …”
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    Surrogate-assisted global and distributed local collaborative optimization algorithm for expensive constrained optimization problems by Xiangyong Liu, Zan Yang, Jiansheng Liu, Junxing Xiong, Jihui Huang, Shuiyuan Huang, Xuedong Fu

    Published 2025-01-01
    “…Abstract This paper presents a surrogate-assisted global and distributed local collaborative optimization (SGDLCO) algorithm for expensive constrained optimization problems where two surrogate optimization phases are executed collaboratively at each generation. …”
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    ALGORITHMIZATION OF PROBLEMS FOR OPTIMAL LOCATION OF TRANSFORMERS IN SUBSTATIONS OF DISTRIBUTED NETWORKS by M. I. Fursanov, N. S. Petrashevich

    Published 2014-08-01
    “…But in practice they can be replaced in one substation but they can be successfully used  in other substations .Especially if there are limits of financial resources and the replacement needs more detail technical and economical basis.During the research the authors developed the efficient algorithm for determining of optimal location of transformers at substations of distributed electrical networks, based on search of the best solution from all sets of displacement in oriented graph. …”
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    Quantum key distribution rates from non-symmetric conic optimization by Andrés González Lorente, Pablo V. Parellada, Miguel Castillo-Celeita, Mateus Araújo

    Published 2025-03-01
    “…Computing key rates in quantum key distribution (QKD) numerically is essential to unlock more powerful protocols, that use more sophisticated measurement bases or quantum systems of higher dimension. …”
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    An Improved Adaptive Simulated Annealing Particle Swarm Optimization Algorithm for ARAIM Availability by Ershen Wang, Xiaozhu Shi, Xidan Deng, Jing Gao, Wei Zhang, Huan Wang, Song Xu

    Published 2023-01-01
    “…Aiming at this problem, we proposed an adaptive simulated annealing particle swarm optimization (ASAPSO) algorithm to redistribute integrity and continuity risks and establish a protection level optimization model. …”
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    An Extensible Gradient-Based Optimization Method for Parameter Identification in Power Distribution Network by Chuanjun Wang, Kehao Fei, Xinle Xu, Haoran Chen, Ke Hu, Shihe Xu, Jiayang Ma

    Published 2023-01-01
    “…Herein, based on our previous work about the adaptive gradient-based optimization (AGBO) method, we propose an extensive version, namely, AGBO-Pro model. …”
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    Impact of Network Configuration on Hydraulic Constraints and Cost in the Optimization of Water Distribution Networks by Mojtaba Nedaei

    Published 2025-03-01
    “…This study introduces a novel approach for the multi-model analysis of complex water distribution networks (WDNs). The research focuses on designing and optimizing various WDN configurations while adhering to hydraulic constraints. …”
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    Advanced Distribution System Optimization: Utilizing Flexible Power Buses and Network Reconfiguration by Jesus Clavijo-Camacho, Francisco J. Ruiz-Rodríguez, Reyes Sánchez-Herrera, Alvaro C. Alamo

    Published 2024-11-01
    “…The increasing integration of distributed generation (DG) and the rise of microgrids have reshaped the operation of distribution systems, introducing both challenges and opportunities for optimization. …”
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    ADAPTIVE GROWTH TECHNIQUE OF TRUSS STRUCTURE BASED ON MMA by HUA Min, DING XiaoHong, WU ChunPing

    Published 2019-01-01
    “…The existing adaptive growth technique deducted the optimization iteration formula according to the condition named Karush-Kuhn-Tucker condition. …”
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    Optimization of Distribution Path considering Cost and Customer Satisfaction under New Retail Modes by Dengqing Wang, Yuting Yang, Yanhu Wang

    Published 2021-01-01
    “…It is found that the immune algorithm is more efficient than the genetic algorithm in searching solutions, thus having better adaptivity and effectiveness, and also that the type of distribution vehicle plays a significant role in determining the total distribution cost.…”
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    Improved Lyrebird optimization for multi microgrid sectionalizing and cost efficient scheduling of distributed generation by Karthik Nagarajan, Arul Rajagopalan, Mohit Bajaj, Valliappan Raju, Vojtech Blazek, Lukas Prokop

    Published 2025-05-01
    “…Unlike conventional local search strategies that rely on fixed step sizes, Levy Flight prevents premature convergence by allowing the algorithm to escape local optima and explore the solution space more effectively. Additionally, a chaotic sine map is integrated to enhance global search capability, ensuring better diversity and superior optimization performance compared to traditional algorithms. …”
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