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

A Weight Adaptation Trigger Mechanism in Decomposition-based Evolutionary Multi-Objective Optimisation di Han, Xiaofeng, Chu, Xiaochen, Chao, Tao, Yang, Ming, Li, Miqing

Sommario: “... the search. When the algorithm detects evolution stagnation (meaning the population no longer improves...”
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Natural Variational Annealing for Multimodal Optimization di LeMinh, Tâm, Arbel, Julyan, Möllenhoff, Thomas, Khan, Mohammad Emtiyaz, Forbes, Florence

Sommario: “... exploration for exploitation. Finally, it learns the variational search distribution using natural-gradient...”
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Lévy-Khintchine Structure Enables Fast-Forwardable Lindbladian Simulation di Gao, Minbo, Ji, Zhengfeng, Liu, Chenghua

Sommario: “... and symmetric stable distributions and their algorithmic implications. These give wide classes of Lindbladians...”
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Distributed Quantum Simulation di Feng, Tianfeng, Xu, Jue, Yu, Wenjun, Ye, Zekun, Yao, Penghui, Zhao, Qi

Sommario: “... quantum simulations with respect to evolution time and the number of distributed quantum processing units...”
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Algorithmic Advances Towards a Realizable Quantum Lattice Boltzmann Method di Tiwari, Apurva, Iaconis, Jason, Jojo, Jezer, Ray, Sayonee, Roetteler, Martin, Hill, Chris, Pathak, Jay

Sommario: “... evolution of a 2D Gaussian initial density distribution subject to a uniform advection-diffusion field...”
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Quantum computing of nonlinear reacting flows via the probability density function method di Zhang, Jizhi, Yang, Ziang, Meng, Zhaoyuan, Lu, Zhen, Yang, Yue

Sommario: “... priori test confirms the accuracy of the measurement algorithm on beta distributions with known...”
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Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data di Qi, Danrui, Peng, Jinglin, He, Yongjun, Wang, Jiannan

Sommario: “... datasets. Overall, evolution-based algorithms show the leading average ranking. Surprisingly, the random...”
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Un-evaluated Solutions May Be Valuable in Expensive Optimization di Hao, Hao, Zhang, Xiaoqun, Zhou, Aimin

Sommario: “...-assisted evolutionary algorithms (SAEAs) in EOPs, we discovered an intriguing phenomenon. Because only a...”
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Dynamical localization in 2D topological quantum random walks di Oriekhov, D. O., Jin, Guliuxin, Greplova, Eliska

Sommario: “...We study the dynamical localization of discrete time evolution of topological split-step quantum...”
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On Adversary Robust Consensus protocols through joint-agent interactions di Angeli, David, Manfredi, Sabato

Sommario: “.... These are distributed algorithms for multi-agents systems seeking to agree on a common value of a shared variable, even...”
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Data-Driven Stochastic Distribution System Hardening Based on Bayesian Online Learning di Shi, Wenlong, Li, Hongyi, Wang, Zhaoyu

Sommario: “...Extreme weather frequently cause widespread outages in distribution systems (DSs), demonstrating...”
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Entrywise dynamics and universality of general first order methods di Han, Qiyang

Sommario: “... state evolution for the bias and variance of the algorithm along the iteration path, applicable for non...”
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Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach di Chen, Haoxuan, Ren, Yinuo, Min, Martin Renqiang, Ying, Lexing, Izzo, Zachary

Sommario: “... the evolution of the corresponding posterior distribution. This PDE includes a modified diffusion term and a...”
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FedTeddi: Temporal Drift and Divergence Aware Scheduling for Timely Federated Edge Learning di Bai, Yuxuan, Sun, Yuxuan, Chen, Tan, Chen, Wei, Zhou, Sheng, Niu, Zhisheng

Sommario: “...-and-divergence-aware scheduling algorithm that facilitates fast convergence of FEEL under dynamic data evolution...”
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Hamiltonian Learning at Heisenberg Limit for Hybrid Quantum Systems di Zhang, Lixing, Lin, Ze-Xun, Narang, Prineha, Luo, Di

Sommario: “... and measurement errors. In addition, we provide an alternative algorithm based on distributed quantum sensing...”
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Probabilistic Safety Guarantee for Stochastic Control Systems Using Average Reward MDPs di Omidi, Saber, Petrik, Marek, Yoon, Se Young, Begum, Momotaz

Sommario: “... distribution, aims to compute policies that satisfy predefined operational constraints with high confidence...”
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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

Sommario: “...We present an algorithm to extend subhalo merger trees in a low-resolution dark-matter-only...”
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Leveraging Analog Quantum Computing with Neutral Atoms for Solvent Configuration Prediction in Drug Discovery di D'Arcangelo, Mauro, Loco, Daniele, team, Fresnel, Gouraud, Nicolaï, Angebault, Stanislas, Sueiro, Jules, Monmarché, Pierre, Forêt, Jérôme, Henry, Louis-Paul, Henriet, Loïc, Piquemal, Jean-Philip

Sommario: “...We introduce quantum algorithms able to sample equilibrium water solvent molecules configurations...”
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Discovering Temporally-Aware Reinforcement Learning Algorithms di Jackson, Matthew Thomas, Lu, Chris, Kirsch, Louis, Lange, Robert Tjarko, Whiteson, Shimon, Foerster, Jakob Nicolaus

Sommario: “... learning algorithms parameterized by surrogate objective functions. To improve upon manually designed...”
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Non-iterative Optimization Algorithm for Active Distribution Grids Considering Uncertainty of Feeder Parameters di Wu, J., Liu, M., Lu, W., Xie, K., Xie, M.

Sommario: “...To cope with fast-fluctuating distributed energy resources (DERs) and uncontrolled loads...”
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