Showing 281 - 300 results of 351 for search '(( algorithm a function ) OR ( ((algorithm used) OR (algorithm based)) function ))', query time: 0.12s Refine Results
  1. 281

    Particle swarm optimization approach for protein structure prediction in the 3D HP model by Mansour, Nashat

    Published 2012
    “…In this paper, we present a particle swarm optimization (PSO) based algorithm for predicting protein structures in the 3D hydrophobic polar model. …”
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    article
  2. 282
  3. 283

    Online Control and Optimization of Directional Drilling by unknown

    Published 2020
    “…A proposed mass spring system was used to represent the phenomena of stick-slip oscillation. …”
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    masterThesis
  4. 284

    Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement by Sait, Sadiq M.

    Published 2004
    “…In this work, a fast hybrid algorithm is designed to address this problem. …”
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  5. 285

    Optimal shunt compensators at nonsinusoidal busbars by El-Amin, I.M.

    Published 1995
    “…This model was solved employing the penalty function approach and the golden Section Search algorithm for solving the linear load case. …”
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    article
  6. 286
  7. 287

    OPTIMAL SHUNT COMPENSATORS AT NON-SINUSOIDAL BUSBARS by El-Amin, I.M.

    Published 2020
    “…This model was solved employing the penalty function approach and the golden Section Search algorithm for solving the linear load case. …”
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    article
  8. 288

    Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems by Shaik Rafikiran (15838929)

    Published 2023
    “…The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AASP&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. …”
  9. 289

    Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems by Shaik, Rafikiran

    Published 2023
    “…The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AAS-P&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. …”
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    article
  10. 290
  11. 291

    Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment by Farhat Mahmood (15468854)

    Published 2023
    “…A robust model predictive control strategy, based on the minimax objective function and particle swarm optimisation algorithm, is developed to handle the uncertainties in the system. …”
  12. 292

    Enhanced Microgrid Reliability Through Optimal Battery Energy Storage System Type and Sizing by Mohammadreza Gholami (17032317)

    Published 2023
    “…To determine the optimized size, a firefly optimization algorithm is used as an efficient meta-heuristic approach. …”
  13. 293

    Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity by Maryam Shahriari-kahkeshi (17269051)

    Published 2021
    “…It is assumed that no prior knowledge about the uncertain nonlinearities of agents, disturbances, dead-zone parameters, magnitude and sign of the control gain is available. In this paper, a Nussbaum function is used to deal with the unknown time-varying control directions problem and a disturbance-like term in the dead-zone description is approximated by an adaptive TSK-type fuzzy system. …”
  14. 294

    Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks by Islambouli, Rania

    Published 2019
    “…We formulate the problem as a mixed integer program, and propose an efficient meta-heuristic solution based on the ions motion optimization algorithm. …”
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    article
  15. 295
  16. 296

    On the parameterized parallel complexity and the vertex cover problem by Abu-Khzam, Faisal N.

    Published 2016
    “…In particular, we present a parallel algorithm that outperforms the best known parallel algorithm for this problem: using O(m) instead of O(n2) parallel processors, the running time improves from 4logn+O(kk) to O(k⋅log3n) , where m is the number of edges, n is the number of vertices of the input graph, and k is an upper bound of the size of the sought vertex cover. …”
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    conferenceObject
  17. 297

    Anonymizing multimedia documents by Haraty, Ramzi

    Published 2016
    “…We provide a sanitizing MD∗-algorithm to enforce de-linkability along with a utility function to evaluate the utility of multimedia documents that is preserved after the sanitizing process. …”
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  18. 298

    Energy-Efficient Computation Offloading in Vehicular Edge Cloud Computing by Xin Li (51274)

    Published 2020
    “…Interestingly, with respect to the amount of allocation resource, it can obtain the maximum value density when offloading energy consumption equals to half of local energy consumption. Finally, we propose a low-complexity heuristic resource allocation algorithm based on this novel theoretical discovery. …”
  19. 299

    Power matching approach for GPS coverage extension by Saab, Samer S.

    Published 2006
    “…The algorithm, based on a statistical measure, correlates the received power from different GPS satellite vehicles (SVs), which leads to a specific signature, i.e., to a topographical database with periodic time-varying estimates of the received powers of SVs. …”
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  20. 300

    Weak-coupling, strong-coupling and large-order parametrization of the hypergeometric-Meijer approximants by Abouzeid M. Shalaby (16810695)

    Published 2020
    “…The divergent<sub>p</sub>F<sub>p</sub>-2 series are then resummed via their representation in terms of the Meijer-G function. The choice of <sub>p</sub>F<sub>p</sub>-2 accelerates the convergence even with only weak-coupling information as input. …”