Risultati della ricerca - distributed evolution (algorithm OR algorithmssics)

  1. 161

    Clustering-induced localization of quantum walks on networks di Böttcher, Lucas, Porter, Mason A.

    Pubblicazione 2024
    Sommario: “... algorithms have been developed for various applications, including spatial-search problems, element...”
    Testo
    Preprint
  2. 162

    Centre driven Controlled Evolution of Wireless Virtual Networks based on Broadcast Tokens di Babu, Vignesh, Jain, Atishay, Karthik, Kannan

    Pubblicazione 2025
    Sommario: “... are altered and the network evolves. This evolution can be distributed and can be controlled to converge to a...”
    Testo
    Preprint
  3. 163

    Bypassing the Noisy Parity Barrier: Learning Higher-Order Markov Random Fields from Dynamics di Gaitonde, Jason, Moitra, Ankur, Mossel, Elchanan

    Pubblicazione 2024
    Sommario: “... distribution is intractable unless $\mathsf{NP}=\mathsf{RP}$, and moreover, any algorithm to learn from i.i.d...”
    Testo
    Preprint
  4. 164

    Objective Conversion‐Based Multiobjective Evolutionary Algorithm for Optimal Design of Braced Steel Frame Structures di Shaoping Wan, Jianrong Pan, Junxian Zhao

    Pubblicazione 2026
    Sommario: “... Buildings ABSTRACT This study proposes a multiobjective evolutionary algorithm based on objective conversion...”
    Testo
    Artículo Open Access
  5. 165

    Restarting the Numerical Flow Iteration through low rank tensor approximations di Wilhelm, Rostislav-Paul, Kormann, Katharina

    Pubblicazione 2025
    Sommario: “... for the Vlasov--Poisson system. It stores the temporal evolution of the electric field and reconstructs...”
    Testo
    Preprint
  6. 166

    High‐Fidelity Modeling of Stochastic RVE Based on Learning Strategies for Unidirectional Fiber Reinforced Composite Material di Chenhao Ji, Yunong Zhai, Dongsheng Li, Hao Qu

    Pubblicazione 2026
    Sommario: “... distribution and combined with particle swarm optimization algorithm to develop a method that can help generate...”
    Testo
    Artículo Open Access
  7. 167

    Investigations of gas–liquid two phase flow in pipe based on Euler two‐fluid model with high‐resolution total variation diminishing scheme di Zongku Liu, Qiang Sun, Guohong Wu, Hao Wang, Jiaxiang Zhang, Xuelin Tang, Xiaoqin Li

    Pubblicazione 2026
    Sommario: “... exists in various fields, including water distribution, chemical engineering, petroleum, and nuclear...”
    Testo
    Artículo Open Access
  8. 168

    A Conditional Abundance Matching Method of Extending Simulated Halo Merger Trees to Resolve Low-Mass Progenitors and Sub-halos di Chen, Yangyao, Mo, H. J., Li, Cheng, Wang, Kai, Wang, Huiyuan, Yang, Xiaohu

    Pubblicazione 2023
    Sommario: “...We present an algorithm to extend subhalo merger trees in a low-resolution dark-matter-only...”
    Testo
    Preprint
  9. 169
  10. 170

    Stacked Intelligent Metasurfaces for 6G Wireless Networks: Principles, Applications, and Research Directions di Shi, Enyu, Zhang, Jiayi, Liu, Zhilong, Liu, Ziheng, Nallanathan, Arumugam, Debbah, Merouane, Jin, Shi, Ai, Bo

    Pubblicazione 2025
    Sommario: “..., distributed wireless architectures such as cell-free massive multiple-input multiple-output (MIMO) have...”
    Testo
    Preprint
  11. 171

    Sample-efficient estimation of entanglement entropy through supervised learning di Rieger, Maximilian, Reh, Moritz, Gärttner, Martin

    Pubblicazione 2023
    Sommario: “... algorithms. For states that are contained in the training distribution, we observe convergence in a regime...”
    Testo
    Preprint
  12. 172

    A Stochastic Differential Equation Framework for Modeling Queue Length Dynamics Inspired by Self-Similarity di Mustavee, Shakib, Agarwal, Shaurya, Singh, Arvind

    Pubblicazione 2025
    Sommario: “...This article develops a stochastic differential equation (SDE) for modeling the temporal evolution...”
    Testo
    Preprint
  13. 173

    IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History di Xu, Yi, Shen, Weiran, Zhang, Xiao, Xu, Jun

    Pubblicazione 2024
    Sommario: “...-makers includes their behavioral evolution from novice expert to experienced expert. This poses a new...”
    Testo
    Preprint
  14. 174

    Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach di Li, Yicong, Yang, Yu, Cao, Jiannong, Liu, Shuaiqi, Tang, Haoran, Xu, Guandong

    Pubblicazione 2024
    Sommario: “... slightly changed vertices in the long-tail part of the power-law distribution. We first identify biased...”
    Testo
    Preprint
  15. 175

    Bures-Wasserstein Flow Matching for Graph Generation di Jiang, Keyue, Cui, Jiahao, Dong, Xiaowen, Toni, Laura

    Pubblicazione 2025
    Sommario: “... distributions. However, these methods typically model the evolution of individual nodes and edges independently...”
    Testo
    Preprint
  16. 176

    ECo-MoE: Embodiment-Conditioned Mixture of Experts Increases the Evolvability of Robots di Wang, Yibin, Li, Muhan, Guo, Zihan, Kriegman, Sam

    Pubblicazione 2026
    Sommario: “...In this paper, we introduce a model of evolution and learning in robots that co-optimizes a...”
    Testo
    Preprint
  17. 177

    Time-Reversible Bridges of Data with Machine Learning di Winkler, Ludwig

    Pubblicazione 2024
    Sommario: “.... It is used to understand the evolution of systems as large as entire galaxies and as small as individual...”
    Testo
    Preprint
  18. 178

    DHEvo: Data-Algorithm Based Heuristic Evolution for Generalizable MILP Solving di Zhang, Zhihao, Li, Siyuan, Li, Chenxi, Liu, Feifan, Chen, Mengjing, Li, Kai, Zhong, Tao, An, Bo, Liu, Peng

    Pubblicazione 2025
    Sommario: “... problem class. To overcome this challenge, we propose a data-algorithm co-evolution framework (DHEvo...”
    Testo
    Preprint
  19. 179

    DyJR: Preserving Diversity in Reinforcement Learning with Verifiable Rewards via Dynamic Jensen-Shannon Replay di Li, Long, Zhou, Zhijian, Wang, Tianyi, Xu, Weidi, Huang, Zuming, Chu, Wei, Wang, Zhe, Pan, Shirui, Qu, Chao, Qi, Yuan

    Pubblicazione 2026
    Sommario: “...While Reinforcement Learning (RL) enhances Large Language Model reasoning, on-policy algorithms...”
    Testo
    Preprint
  20. 180