Results 71 to 80 of about 134,091 (279)

PRACTICAL AND THEORETICAL ASPECTS OF MATHEMATICAL MODELING OF THE OPTIMIZATION PROCESS OF MANAGING MULTIGROUP BEHAVIOR OF AGENTS IN DISTRIBUTED SYSTEMS BASED ON THE GWO ALGORITHM

Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології
This work focused on the applied aspects and features of the gray wolf pack optimizer or the GWO algorithm in the context of application in multi-agent distributed systems.
Bohdan Skrypka, Dmytro Yelchaninov
doaj   +1 more source

Intrinsic activity in the fly brain gates visual information during behavioral choices [PDF]

, 2010
The small insect brain is often described as an input/output system that executes reflex-like behaviors. It can also initiate neural activity and behaviors intrinsically, seen as spontaneous behaviors, different arousal states and sleep. However, less is
A Borst, A Maye, AA Faisal, AY Katsov, B Krishnan, B Krishnan, B van Swinderen, B van Swinderen, B van Swinderen, B van Swinderen, B van Swinderen, B Webb, Björn Brembs, BT Lowne, CZ Wang, DB Chklovskii, DG Stavenga, DH Hubel, DH Hubel, DM Bolzon, EI Knudsen, F Varela, FJ Harris, G Geiger, G Geiger, G Liu, G Maimon, GJ Goodhill, H Barlow, H Otsuna, HB Barlow, J Blondeau, J Haag, J Haag, J Patterson, JF Poulet, JF Poulet, JF Poulet, JG Jefferys, JJ Atick, K Hausen, K Neuser, K Nordstrom, KF Fischbach, KG Götz, L Zheng, L Zheng, LC Osborne, LF Tammero, LF Tammero, LF Tammero, M Egelhaaf, M Heisenberg, M Heisenberg, M Heisenberg, M Heisenberg, M Joesch, M Juusola, M Juusola, M Land, MA Frye, ME Chiappe, MF Schmidt, Mikko Juusola, MV Srinivasan, N Franceschini, P Kara, PE Hardin, R Andretic, R Blake, R Desimone, R Hengstenberg, R Wolf, S Pick, S Rossel, S Rossel, S Tang, S Tang, S Tanoue, Shiming Tang, SM Miller, T Lebestky, Z Li   +82 more
core   +5 more sources

Low-Carbon and Low-Energy-Consumption Gear Processing Route Optimization Based on Gray Wolf Algorithm

Processes, 2022
The process of gear machining consumes a large amount of energy and causes serious pollution to the environment. Developing a proper process route of gear machining is the key to conserving energy and reducing emissions.
Yani Zhang, Haoshu Xu, Jun Huang, Yongmao Xiao   +3 more
semanticscholar   +1 more source

Comparative Neuromechanical Wing‐Actuation Architectures of Flapping Flight in Insects, Hummingbirds, and Robots

Advanced Intelligent Systems, EarlyView.
Natural fliers achieve remarkable aerial performance through diverse wing neuromechanical systems integrating actuation, sensing, and control. This study synthesizes neuromechanical architectures in insects and hummingbirds, identifying two key functional types‐Dual Neural‐Mechanical Oscillator and Neurally‐modulated Mechanical Oscillator‐ and ...
Suyash Agrawal, Jean‐Michel Mongeau, Bret W. Tobalske, Christopher Rahn, Bo Cheng   +4 more
wiley   +1 more source

Optimal Allocation of Emergency Repair Resources for Producer–Consumer Communities Considering Fault Risk Classification and Emergency Repair Response Capability

Frontiers in Energy Research, 2022
With the construction of new power systems, distributed power sources are connected in large numbers and the possibility of faults increases. The optimal allocation of repair resources is important to improve the fault management efficiency and the ...
Donghua Mao, Jinyi Qiu
doaj   +1 more source

Chain-Growth Simulations of Lattice-Peptide Adsorption to Attractive Substrates [PDF]

, 2006
Based on a newly developed contact-density chain-growth algorithm, we have simulated a nongrafted peptide in the vicinity of different attractive substrates.
Bachmann, Michael, Janke, Wolfhard
core   +1 more source

Computer simulation of glioma growth and morphology [PDF]

, 2007
Despite major advances in the study of glioma, the quantitative links between intra-tumor molecular/cellular properties, clinically observable properties such as morphology, and critical tumor behaviors such as growth and invasiveness remain unclear ...
Adam, Ambrosi, Ambrosi, Anderson, Anderson, Anderson, Anderson, Araujo, Augustin, Bartels, Bello, Bellomo, Berger, Bernsen, Bernsen, Boegler, Brandt, Bullitt, Byrne, Byrne, Byrne, Byrne, Cai, Carmeliet, Chaplain, Chaplain, Chaplain, Chaplain, Condeelis, Cristini, Cristini, Cursiefen, DeJaeger, Derycke, Eble, Elaine L. Bearer, Ellis, Elvin, Fallenstein, Frieboes, Friedl, Friedl, Friedl, Friedman, Garcke, Gatenby, Giese, Greenspan, Hayot, Helmlinger, Hermann B. Frieboes, Holash, Holash, Huang, Jacqmin, Jain, Jain, John S. Lowengrub, Keller, Khoshyomn, Kim, Kim, Kim, Kopfstein, Kuiper, Kumar, Kunkel, Lah, Lamszus, Lee, Leo, Less, Li, Li, Lockett, Lowengrub, Macklin, Macklin, McDougall, McLean, Naganuma, O'Connor, Ommaya, Padera, Page, Patan, Patan, Paul Macklin, Pennacchietti, Plank, Plank, Preusser, Ridley, Rofstad, Rubenstein, S. Wise, Sahai, Sanga, Seftor, Shweiki, Sierra, Sinek, Skinner, Steeg, Sun, Takano, Toker, Tysnes, Vajkoczy, van Kempen, Vittorio Cristini, Wise, Wolf, Wurzel, X. Zheng, Yamaguchi, Yin, Zheng   +117 more
core   +1 more source

Individualized Atrophy‐Based Prediction of Dementia Progression in Familial Frontotemporal Lobar Degeneration With Bayesian Linear Mixed‐Effects Modeling

Annals of Neurology, EarlyView.
Objective Age of symptom onset is highly variable in familial frontotemporal lobar degeneration (f‐FTLD). Accurate prediction of onset would inform clinical management and trial enrollment. Prior studies indicate that individualized maps of brain atrophy can predict conversion to dementia in f‐FTLD.
Shubir Dutt, Dana Leichter, Yann Cobigo, Amy Wolf, John Kornak, Annie Clark, Lucy L. Russell, Arabella Bouzigues, David M. Cash, Martina Bocchetta, Molly Olzinski, Brian Appleby, Ece Bayram, Barbara Borroni, Andrea Bozoki, Chris R. Butler, David Clark, Rhian S. Convery, R. Ryan Darby, Alexandre de Mendonça, Bradford Dickerson, Kimiko Domoto‐Reilly, Simon Ducharme, Eve Ferry‐Bolder, Elizabeth Finger, Phoebe H. Foster, Douglas R. Galasko, Daniela Galimberti, Alexander Gerhard, Nupur Ghoshal, Caroline Graff, Neill Graff‐Radford, Ian M. Grant, Chadwick M. Hales, Lawrence S. Honig, Ging‐Yuek Hsiung, Edward D. Huey, David Irwin, Lize C. Jiskoot, Walter Kremers, Justin Y. Kwan, Robert Laforce, Isabelle Le Ber, Gabriel C. Léger, Johannes Levin, Irene Litvan, Ian R. Mackenzie, Mario Masellis, Mario F. Mendez, Fermin Moreno, Chiadi Onyike, Markus Otto, Belen Pascual, Peter Pressman, Rosa Rademakers, Eliana Marisa Ramos, Aaron Ritter, Erik D. Roberson, James B. Rowe, Raquel Sanchez‐Valle, Isabel Santana, Harro Seelaar, Allison Snyder, Sandro Sorbi, Matthis Synofzik, Maria Carmela Tartaglia, Pietro Tiraboschi, John C. van Swieten, Marijne Vandebergh, Rik Vandenberghe, Hilary W. Heuer, Bruce L. Miller, William W. Seeley, Maria Luisa Gorno‐Tempini, Joel H. Kramer, Leah Forsberg, Kejal Kantarci, Bradley F. Boeve, Adam L. Boxer, Jonathan D. Rohrer, Howard J. Rosen, Adam M. Staffaroni, FTD Prevention Initiative (FPI) investigators   +82 more
wiley   +1 more source

Design on Universal Circuit Breaker via Improved Gray Wolf Optimization Algorithm

Mathematical Problems in Engineering, 2020
Miniaturization design of the universal circuit breaker is very necessary, but it is not enough to consider only the miniaturization in the design but also consider the energy consumption and breaking capacity of the universal circuit breaker. To this end, a comprehensive optimization design method in this paper is proposed and studied.
Shuidong Dai, Kewen Xia, Lili Shi, Min Xie   +3 more
openaire   +1 more source

Research on MPPT Based on Gray Wolf Algorithm improved by Levy Flight

Journal of Physics: Conference Series, 2021
In the late iteration of the gray wolf algorithm, the convergence results will have low accuracy becased of the elite retention.When implementing MPPT control, the maximum power point of the photovoltaic array cannot be accurately tracked, and it is easy
Su Wang, Wencheng Cai, Liang Zeng
semanticscholar   +1 more source