Risultati della ricerca - distributes evolution (algorithm OR (algorithmics OR algorithmics))

  1. 161

    Why Flow Matching is Particle Swarm Optimization? di Ouyang, Kaichen

    Pubblicazione 2025
    Sommario: “... with the velocity update rules in PSO; both methods follow the fundamental framework of progressive evolution from...”
    Testo
    Preprint
  2. 162

    Wasserstein Evolution : Evolutionary Optimization as Phase Transition di Ouyang, Kaichen, Yu, Mingyang, Ke, Zong, Lian, Junbo Jacob, Fu, Shengwei, Hao, Xiaoyang, Yu, Shengju, Hu, Dayu

    Pubblicazione 2025
    Sommario: “...Evolutionary algorithms (EAs) serve as powerful black-box optimizers inspired by biological...”
    Testo
    Preprint
  3. 163

    Evolutionary Multi-Task Optimization for LLM-Guided Program Discovery di Gozeten, Halil Alperen, Zhang, Xuechen, Ildiz, Emrullah, Taga, Ege Onur, Javidi, Tara, Oymak, Samet

    Pubblicazione 2026
    Sommario: “... evolution in most settings, with STA Best-Local providing the strongest in-distribution adaptation and STA...”
    Testo
    Preprint
  4. 164

    Application of Sooty Tern Optimization Algorithm on Solar‐Wind‐Battery‐Thermal Integrated Dynamic Economic Emission Dispatch Problems di Sudip Kumar Ghorui, Koustav Dasgupta, Sakti Prasad Ghoshal

    Pubblicazione 2024
    Sommario: “... search algorithm, differential evolution, and particle swarm optimization. 10.1002/oca.3241 http...”
    Testo
    Artículo Open Access
  5. 165

    Evolving-RL: End-to-End Optimization of Experience-Driven Self-Evolving Capability within Agents di Fan, Zhiyuan, Jin, Wenwei, Zhang, Feng, Li, Bin, Dong, Yihong, Hu, Yao, Li, Jiawei

    Pubblicazione 2026
    Sommario: “... reinforcement learning, they still fail to treat self-evolution as a unified process to be jointly optimized...”
    Testo
    Preprint
  6. 166

    Uncertainty Assessment of Probabilistic Cellular Automata Simulations in Microstructure Evolution di Seyed-Salehi, Majid

    Pubblicazione 2024
    Sommario: “... numerical algorithm and low computational cost in the simulation of microstructural evolution...”
    Testo
    Preprint
  7. 167

    The Genomic Code: The genome instantiates a generative model of the organism di Mitchell, Kevin J., Cheney, Nick

    Pubblicazione 2024
    Sommario: “... encoded by the learning algorithm of evolution and decoded through the processes of development...”
    Testo
    Preprint
  8. 168

    Generalized HMC using Nambu mechanics for lattice QCD di Lundstrum, Erik

    Pubblicazione 2024
    Sommario: “...I describe a generalization of the hybrid Monte Carlo (HMC) algorithm in which the molecular...”
    Testo
    Preprint
  9. 169

    Stein Variational Evolution Strategies di Braun, Cornelius V., Lange, Robert T., Toussaint, Marc

    Pubblicazione 2024
    Sommario: “... an unnormalized probability distribution. However, the SVGD update relies on gradients of the log-density, which...”
    Testo
    Preprint
  10. 170

    Computational General Relativity in the Wolfram Language using Gravitas II: ADM Formalism and Numerical Relativity di Gorard, Jonathan

    Pubblicazione 2024
    Sommario: “... adaptive refinement algorithms based on hypergraph rewriting via Wolfram model evolution. Particular...”
    Testo
    Preprint
  11. 171

    Identifying Subcascades From The Primary Damage State Of Collision Cascades di Bhardwaj, Utkarsh, Warrier, Manoj

    Pubblicazione 2023
    Sommario: “... of defects and their distribution. While the number of subcascades is an essential parameter to describe...”
    Testo
    Preprint
  12. 172

    Quantum Image Visualizer: Visual Debugging of Quantum Image Processing Circuits di Heim, Anja, Lang, Thomas, Gall, Alexander, Gröller, Eduard, Heinzl, Christoph

    Pubblicazione 2025
    Sommario: “... to offer significant advantages in algorithm execution over classical approaches. This potential...”
    Testo
    Preprint
  13. 173

    Generating Dark Matter Subhalo Populations Using Normalizing Flows di Lonergan, Jack, Benson, Andrew, Gilman, Daniel

    Pubblicazione 2025
    Sommario: “... algorithm accurately reproduces the Galacticus subhalo distribution while significantly reducing computation...”
    Testo
    Preprint
  14. 174
  15. 175

    P^2O: Joint Policy and Prompt Optimization di Lu, Xinyu, Zhang, Kaiqi, Yang, Jinglin, Cao, Boxi, Lu, Yaojie, Lin, Hongyu, He, Min, Han, Xianpei, Sun, Le

    Pubblicazione 2026
    Sommario: “... by alternating continuous policy updates with discrete prompt evolution. P$^2$O leverages the GEPA algorithm...”
    Testo
    Preprint
  16. 176

    Natural Gradient Interpretation of Rank-One Update in CMA-ES di Hamano, Ryoki, Shirakawa, Shinichi, Nomura, Masahiro

    Pubblicazione 2024
    Sommario: “...The covariance matrix adaptation evolution strategy (CMA-ES) is a stochastic search algorithm using...”
    Testo
    Preprint
  17. 177

    Theoretically Guaranteed Distribution Adaptable Learning di Xu, Chao, Tang, Xijia, Liu, Guoqing, Qian, Yuhua, Hou, Chenping

    Pubblicazione 2024
    Sommario: “... an evolving distribution over time. How to design algorithms to track these evolving data distributions...”
    Testo
    Preprint
  18. 178

    The Emergence of Grammar through Reinforcement Learning di Wechsler, Stephen, Shearer, James W., Erk, Katrin

    Pubblicazione 2025
    Sommario: “...The evolution of grammatical systems of syntactic and semantic composition is modeled here with a...”
    Testo
    Preprint
  19. 179

    Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning di Yang, Danni, Chen, Zhikang, Cui, Sen, Yang, Mengyue, Li, Ding, Wuerkaixi, Abudukelimu, Li, Haoxuan, Ren, Jinke, Gong, Mingming

    Pubblicazione 2025
    Sommario: “... cooperation. We also propose a merge-blocking algorithm and a dynamic cooperative evolution algorithm...”
    Testo
    Preprint
  20. 180

    Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Optimization di Soltes, Julian

    Pubblicazione 2025
    Sommario: “..., with exponential expansion of the search space rapidly causing traditional algorithms to become inefficient...”
    Testo
    Preprint