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يعرض 181 - 200 نتائج من 240 نتيجة بحث عن 'optimization ((function algorithm) OR (detection algorithm))', وقت الاستعلام: 0.08s تنقيح النتائج
  1. 181

    Analysis of power system stability enhancement via excitation and FACTS-based stabilizers حسب Abido, M. A.

    منشور في 2004
    "…Then, a real-coded genetic algorithm is employed to search for optimal controller parameters. …"
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    article
  2. 182

    Coordinated design of robust excitation and TCSC-based damping controllers حسب Abido, M.A.

    منشور في 2003
    "…The real-coded genetic algorithm (RCGA) is employed to search for optimal controller parameters. …"
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    article
  3. 183

    Power system stability enhancement via coordinated design of a PSS and an SVC-based controller حسب Abido, M.A.

    منشور في 2003
    "…The real-coded genetic algorithm (RCGA) is employed to search for optimal controller parameters. …"
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    article
  4. 184

    Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring حسب Muhammad E.H. Chowdhury (17151154)

    منشور في 2019
    "…The cost-adjusted optimized ensemble algorithm can produce 97% and 88% accuracy of classifying abnormal and normal HS, respectively.…"
  5. 185

    HPTS: heterogeneous parallel tabu search for VLSI placement حسب Al-Yamani, A.

    منشور في 2002
    "…The proposed algorithm is tested on the VLSI standard cell placement problem, however, the same algorithm can be used on any combinatorial optimization problem. …"
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    article
  6. 186

    Development and Implementation of a Hybrid Intelligent Controller for Interior Permanent Magnet Synchronous Motor Drives حسب Nasir Uddin, M.

    منشور في 2004
    "…At each operating condition a genetic algorithm is used to optimize the PI controller parameters in a closed-loop vector control scheme. …"
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    article
  7. 187
  8. 188
  9. 189

    Economic Production Lot-Sizing For An Unreliable Machine Under Imperfect Age-Based Maintenance Policy حسب El-Ferik, S

    منشور في 2020
    "…Numerical results are provided to illustrate both the use of the algorithm in the study of the optimal cost function and the latter's sensitivity to different changes in cost factors. …"
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    article
  10. 190

    Multidimensional Gains for Stochastic Approximation حسب Saab, Samer S.

    منشور في 2019
    "…The two algorithms assume full knowledge of the Jacobian. The recursive algorithms are proposed for generating the optimal iterative-dependent matrix gain. …"
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    article
  11. 191

    Singularly perturbed nonlinear ODEs and interior point optimizationalgorithms حسب Ezzine, J.

    منشور في 1995
    "…This paper explores the continuous realizations of iterative processes emanating from interior point optimization algorithms, and their connection with nonlinear singularly-perturbed ordinary differential equations. …"
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    article
  12. 192

    Vibration suppression in a cantilever beam using a string-type vibration absorber حسب Issa, Jimmy S.

    منشور في 2017
    "…In the first, the spring stiffness, the position of the second attachment point of the string and a preliminary damping constant are calculated using a genetic algorithm approach where the objective function is the maximum displacement on the beam. …"
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    conferenceObject
  13. 193

    FAST FUZZY FORCE-DIRECTED/SIMULATED EVOLUTION METAHEURISTIC FOR MULTIOBJECTIVE VLSI CELL PLACEMENT حسب Sait, Sadiq M.

    منشور في 2006
    "…New fuzzy aggregation functions are proposed. SE is hybridized with force directed algorithm to speed-up the search. …"
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    article
  14. 194

    Reinforcement Learning-Based School Energy Management System حسب Yassine Chemingui (18891757)

    منشور في 2020
    "…In recent years, the Deep Reinforcement Learning algorithm, applying neural networks for function approximation, shows promising results in handling such complex problems. …"
  15. 195

    Robust Kalman filter and smoother for errors-in-variables model with observation outliers based on Least-Trimmed-Squares حسب ALMutawa, Jaafar

    منشور في 2020
    "…Since the LTS is combinatorial optimization problem the randomized algorithm has been proposed in order to achieve the optimal estimate. …"
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    article
  16. 196

    Scatter search metaheuristic for homology based protein structure prediction. (c2015) حسب Stamboulian, Mouses Hrag

    منشور في 2015
    "…To improve homology based PSP, we propose a scatter search (SS) metaheuristic algorithm. Our algorithm optimizes the initial poor alignments, generated by a dynamic programming method. …"
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    masterThesis
  17. 197

    Fixed set search applied to the multi-objective minimum weighted vertex cover problem حسب Raka Jovanovic (17947838)

    منشور في 2022
    "…One important characteristic of the proposed GRASP is that it avoids the use of weighted sums of objective functions in the local search and the greedy algorithm. …"
  18. 198

    DRL-Based IRS-Assisted Secure Hybrid Visible Light and mmWave Communications حسب Danya A. Saifaldeen (19498705)

    منشور في 2024
    "…Within the system, both sheets function as IRS. The aim is to enhance the secrecy capacity (SC) of the system by optimizing the beamforming weights at the VLC fixtures, the beamforming weights at the mmWave AP, the mirror array configurations, and the phase shift vector while meeting specific power constraints. …"
  19. 199

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

    منشور في 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. …"
  20. 200

    Energy utilization assessment of a semi-closed greenhouse using data-driven model predictive control حسب Farhat Mahmood (15468854)

    منشور في 2021
    "…The proposed method consists of a multilayer perceptron model representing the greenhouse system integrated with an objective function and an optimization algorithm. The multilayer perceptron model is trained using historical data from the greenhouse with solar radiation, outside temperature, humidity difference, fan speed, HVAC control as the input parameters to predict the temperature. …"