Search Results - distributed evolution (algorithm OR (Algorithmssics OR Algorithmssics))

  1. 101

    Evolvable Conditional Diffusion by Wei, Zhao, Ooi, Chin Chun, Gupta, Abhishek, Wong, Jian Cheng, Chiu, Pao-Hsiung, Toh, Sheares Xue Wen, Ong, Yew-Soon

    Published 2025
    Table of Contents: “… function through updates to the descriptive statistic for the denoising distribution, and derive…”
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  2. 102

    Star-forming environments in smoothed particle magnetohydrodynamics simulations II: Re-simulating isolated clumps to determine equivalence of extracted clumps and parent simulation... by Wurster, James, Rowan, Connar

    Published 2024
    Table of Contents: “… this, we modelled the evolution of 29 star forming clumps that were extracted from our previous simulations…”
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  3. 103

    Measurement of the Depth of Maximum of Air-Shower Profiles with energies between $\mathbf{10^{18.5}}$ and $\mathbf{10^{20}}$ eV using the Surface Detector of the Pierre Auger Obser... by The Pierre Auger Collaboration, Halim, A. Abdul, Abreu, P., Aglietta, M., Allekotte, I., Cheminant, K. Almeida, Almela, A., Aloisio, R., Alvarez-Muñiz, J., Yebra, J. Ammerman, Anastasi, G. A., Anchordoqui, L., Andrada, B., Dourado, L. Andrade, Andringa, S., Apollonio, L., Aramo, C., Ferreira, P. R. Araújo, Arnone, E., Velázquez, J. C. Arteaga, Assis, P., Avila, G., Avocone, E., Bakalova, A., Barbato, F., Mocellin, A. Bartz, Berat, C., Bertaina, M. E., Bhatta, G., Bianciotto, M., Biermann, P. L., Binet, V., Bismark, K., Bister, T., Biteau, J., Blazek, J., Bleve, C., Blümer, J., Boháčová, M., Boncioli, D., Bonifazi, C., Arbeletche, L. Bonneau, Borodai, N., Brack, J., Orchera, P. G. Brichetto, Briechle, F. L., Bueno, A., Buitink, S., Buscemi, M., Büsken, M., Bwembya, A., Caballero-Mora, K. S., Cabana-Freire, S., Caccianiga, L., Campuzano, F., Caruso, R., Castellina, A., Catalani, F., Cataldi, G., Cazon, L., Cerda, M., Čermáková, B., Cermenati, A., Chinellato, J. A., Chudoba, J., Chytka, L., Clay, R. W., Cerutti, A. C. Cobos, Colalillo, R., Coluccia, M. R., Conceição, R., Condorelli, A., Consolati, G., Conte, M., Convenga, F., Santos, D. Correia dos, Costa, P. J., Covault, C. E., Cristinziani, M., Sanchez, C. S. Cruz, Dasso, S., Daumiller, K., Dawson, B. R., de Almeida, R. M., de Errico, B., de Jesús, J., de Jong, S. J., Neto, J. R. T. de Mello, De Mitri, I., de Oliveira, J., Franco, D. de Oliveira, de Palma, F., de Souza, V., De Vito, E., Del Popolo, A., Deligny, O., Denner, N., Deval, L., di Matteo, A., do, J. A., Dobre, M., Dobrigkeit, C., D'Olivo, J. C., Mendes, L. M. Domingues, Dorosti, Q., Anjos, J. C. dos, Anjos, R. C. dos, Ebr, J., Ellwanger, F., Emam, M., Engel, R., Epicoco, I., Erdmann, M., Etchegoyen, A., Evoli, C., Falcke, H., Farrar, G., Fauth, A. C., Fehler, T., Feldbusch, F., Fenu, F., Fernandes, A., Fick, B., Figueira, J. M., Filip, P., Filipčič, A., Fitoussi, T., Flaggs, B., Fodran, T., Fujii, T., Fuster, A., Galea, C., García, B., Gaudu, C., Gherghel-Lascu, A., Ghia, P. L., Giaccari, U., Glombitza, J., Gobbi, F., Gollan, F., Golup, G., Berisso, M. Gómez, Vitale, P. F. Gómez, Gongora, J. P., González, J. M., González, N., Góra, D., Gorgi, A., Gottowik, M., Guarino, F., Guedes, G. P., Guido, E., Gülzow, L., Hahn, S., Hamal, P., Hampel, M. R., Hansen, P., Harari, D., Harvey, V. M., Haungs, A., Hebbeker, T., Hojvat, C., Hörandel, J. R., Horvath, P., Hrabovský, M., Huege, T., Insolia, A., Isar, P. G., Janecek, P., Jilek, V., Johnsen, J. A., Jurysek, J., Kampert, K. -H., Keilhauer, B., Khakurdikar, A., Covilakam, V. V. Kizakke, Klages, H. O., Kleifges, M., Knapp, F., Köhler, J., Krieger, F., Kunka, N., Lago, B. L., Langner, N., de Oliveira, M. A. Leigui, Lema-Capeans, Y., Letessier-Selvon, A., Lhenry-Yvon, I., Lopes, L., Lu, L., Luce, Q., Lundquist, J. P., Payeras, A. Machado, Majercakova, M., Mandat, D., Manning, B. C., Mantsch, P., Mariani, F. M., Mariazzi, A. G., Mariş, I. C., Marsella, G., Martello, D., Martinelli, S., Bravo, O. Martínez, Martins, M. A., Mathes, H. -J., Matthews, J., Matthiae, G., Mayotte, E., Mayotte, S., Mazur, P. O., Medina-Tanco, G., Meinert, J., Melo, D., Menshikov, A., Merx, C., Michal, S., Micheletti, M. I., Miramonti, L., Mollerach, S., Montanet, F., Morejon, L., Mulrey, K., Mussa, R., Namasaka, W. M., Negi, S., Nellen, L., Nguyen, K., Nicora, G., Niechciol, M., Nitz, D., Nosek, D., Novotny, V., Nožka, L., Nucita, A., Núñez, L. A., Oliveira, C., Palatka, M., Pallotta, J., Panja, S., Parente, G., Paulsen, T., Pawlowsky, J., Pech, M., Pękala, J., Pelayo, R., Pelgrims, V., Pereira, L. A. S., Martins, E. E. Pereira, Bertolli, C. Pérez, Perrone, L., Petrera, S., Petrucci, C., Pierog, T., Pimenta, M., Platino, M., Pont, B., Pothast, M., Shahvar, M. Pourmohammad, Privitera, P., Prouza, M., Querchfeld, S., Rautenberg, J., Ravignani, D., Akim, J. V. Reginatto, Reininghaus, M., Reuzki, A., Ridky, J., Riehn, F., Risse, M., Rizi, V., de Carvalho, W. Rodrigues, Rodriguez, E., Rojo, J. Rodriguez, Roncoroni, M. J., Rossoni, S., Roth, M., Roulet, E., Rovero, A. C., Saftoiu, A., Saharan, M., Salamida, F., Salazar, H., Salina, G., Gomez, J. D. Sanabria, Sánchez, F., Santos, E. M., Santos, E., Sarazin, F., Sarmento, R., Sato, R., Savina, P., Schäfer, C. M., Scherini, V., Schieler, H., Schimassek, M., Schimp, M., Schmidt, D., Scholten, O., Schoorlemmer, H., Schovánek, P., Schröder, F. G., Schulte, J., Schulz, T., Sciutto, S. J., Scornavacche, M., Sedoski, A., Segreto, A., Sehgal, S., Shivashankara, S. U., Sigl, G., Simkova, K., Simon, F., Smau, R., Šmída, R., Sommers, P., Squartini, R., Stadelmaier, M., Stanič, S., Stasielak, J., Stassi, P., Strähnz, S., Straub, M., Suomijärvi, T., Supanitsky, A. D., Svozilikova, Z., Szadkowski, Z., Tairli, F., Tapia, A., Taricco, C., Timmermans, C., Tkachenko, O., Tobiska, P., Peixoto, C. J. Todero, Tomé, B., Torrès, Z., Travaini, A., Travnicek, P., Tueros, M., Unger, M., Uzeiroska, R., Vaclavek, L., Vacula, M., Galicia, J. F. Valdés, Valore, L., Varela, E., Vašíčková, V., Vásquez-Ramírez, A., Veberič, D., Quispe, I. D. Vergara, Verzi, V., Vicha, J., Vink, J., Vorobiov, S., Watanabe, C., Watson, A. A., Weindl, A., Wiencke, L., Wilczyński, H., Wittkowski, D., Wundheiler, B., Yue, B., Yushkov, A., Zapparrata, O., Zas, E., Zavrtanik, D., Zavrtanik, M.

    Published 2024
    Table of Contents: “… (1 EeV=$10^{18}$ eV) using the distributions of the depth of shower maximum $X_\mathrm{max…”
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  4. 104

    Evolutionary Algorithms Approach For Search Based On Semantic Document Similarity by Muniyappa, Chandrashekar, Kim, Eujin

    Published 2025
    Table of Contents: “… Computing Algorithms like Genetic, and Differential evolution algorithms. These algorithms are used…”
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  5. 105

    A Complex Network Analysis on The Eigenvalue Spectra of Random Spin Systems by Xue, Qiaomu, Rao, Wenjia

    Published 2023
    Table of Contents: “… quantum systems as time-series, and corresponding algorithms such as singular-value-decomposition has…”
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  6. 106

    Quantum Monte Carlo simulations for financial risk analytics: scenario generation for equity, rate, and credit risk factors by Matsakos, Titos, Nield, Stuart

    Published 2023
    Table of Contents: “…. simulation of the risk factor evolution over time to generate probability distributions -- into the quantum…”
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  7. 107

    Regional Deformation Anomaly Assessment of Arch Dam Considering the Extreme Value Distribution of Deviations by Xudong Chen, Qinghe Lu, Liuyang Li, Hongdi Guo, Yu Deng, Jinjun Guo, Chongshi Gu, Xing Liu

    Published 2026
    Table of Contents: “… Control and Health Monitoring The evolution pattern of dam deformation reflects its structural response…”
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    Artículo Open Access
  8. 108

    Natural Variational Annealing for Multimodal Optimization by LeMinh, Tâm, Arbel, Julyan, Möllenhoff, Thomas, Khan, Mohammad Emtiyaz, Forbes, Florence

    Published 2025
    Table of Contents: “… exploration for exploitation. Finally, it learns the variational search distribution using natural-gradient…”
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  9. 109

    Lévy-Khintchine Structure Enables Fast-Forwardable Lindbladian Simulation by Gao, Minbo, Ji, Zhengfeng, Liu, Chenghua

    Published 2025
    Table of Contents: “… and symmetric stable distributions and their algorithmic implications. These give wide classes of Lindbladians…”
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  10. 110
  11. 111

    Gradient descent inference in empirical risk minimization by Han, Qiyang, Xu, Xiaocong

    Published 2024
    Table of Contents: “…Gradient descent is one of the most widely used iterative algorithms in modern statistical learning…”
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  12. 112

    Density Evolution Analysis of Generalized Low-density Parity-check Codes under a Posteriori Probability Decoder by Chang, Dongxu, Peng, Qingqing, Ma, Zhiming, Wang, Guanghui, Yin, Dawei

    Published 2024
    Table of Contents: “…, on the BI-AWGN channel, we apply and improve the Gaussian approximation algorithm in the density evolution…”
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  13. 113

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

    Published 2024
    Table of Contents: “… an unnormalized probability distribution. However, the SVGD update relies on gradients of the log-density, which…”
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  14. 114

    Random State Approach to Quantum Computation of Electronic-Structure Properties by Bai, Yiran, Xiong, Feng, Kuang, Xueheng

    Published 2025
    Table of Contents: “…. However, general and practical quantum algorithms for simulating large-scale materials are still lacking…”
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  15. 115

    Minimizing and Maximizing the Shannon Entropy for Fixed Marginals by Franke, Paula, Hamacher, Kay, Manns, Paul

    Published 2025
    Table of Contents: “… in data analysis. The Shannon entropy of a joint probability distribution is the variable part under fixed…”
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  16. 116

    Workload Schedulers -- Genesis, Algorithms and Differences by Sliwko, Leszek, Getov, Vladimir

    Published 2025
    Table of Contents: “… Schedulers and Big Data Schedulers. We describe their evolution from early adoptions to modern…”
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  17. 117

    Quantum computation in fermionic thermal field theories by Qian, Wenyang, Wu, Bin

    Published 2024
    Table of Contents: “… alongside the quantum algorithms such as quantum imaginary time evolutions employed to evaluate thermal…”
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  18. 118

    Learning NEAT Emergent Behaviors in Robot Swarms by Rajbhandari, Pranav, Sofge, Donald

    Published 2023
    Table of Contents: “… swarm algorithms to produce emergent behavior. Inspired by the biological evolution of emergent behavior…”
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  19. 119

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

    Published 2026
    Table of Contents: “… reinforcement learning, they still fail to treat self-evolution as a unified process to be jointly optimized…”
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  20. 120

    Decentralized Localization of Distributed Antenna Array Elements Using an Evolutionary Algorithm by Dula, Matthew J., Shandi, Naim, Nanzer, Jeffrey A.

    Published 2024
    Table of Contents: “…-convex optimization problem, and define the differential evolution algorithm which searches the solution…”
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