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  1. 561

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

    Published 2003
    “…The real-coded genetic algorithm (RCGA) is employed to search for optimal controller parameters. …”
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    article
  2. 562

    Analysis and Assessment of STATCOM-Based Damping Stabilizers for Power System Stability Enhancement by Abido, M. A.

    Published 2005
    “…Then, a real-coded genetic algorithm (RCGA) is employed to search for optimal stabilizer parameters. …”
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    article
  3. 563

    Towards a self-powering greenhouse using semi-transparent PV: Utilizing hybrid BESS-hydrogen energy storage system by Mohammadreza Gholami (17032317)

    Published 2024
    “…Second, by employing a comprehensive approach with the GBO algorithm, the research examines various scenarios as a multi-objective optimization problem, balancing economic considerations such as net present value (NPV) and energy dependency (ED). …”
  4. 564

    Direct sensitivity analysis of nonlinear distortion in RF circuits using multidimensional moments by Tannir, Dani

    Published 2014
    “…It allows the designer to perform vital tasks such as circuit optimization and design space exploration. Recently, an efficient moments-based approach was presented for computing key distortion figures of merit in radio frequency circuits from the harmonic balance equations, without the need to perform a harmonic balance simulation. …”
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    article
  5. 565
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    Virtual Inertia Support in Power Systems for High Penetration of Renewables—Overview of Categorization, Comparison, and Evaluation of Control Techniques by Naruttam Kumar Roy (16904544)

    Published 2022
    “…Integrating intelligent methods, such as fuzzy logic, genetic algorithm, non-convex optimization, and heuristic optimization, signify intelligent control methods. …”
  7. 567

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

    Published 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
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    Inferential sensing techniques in industrial applications by Shakil,, Muhammad

    Published 0007
    “…System delays are obtained by approximating the model by a linear model. Genetic algorithm, which is a heuristic optimization technique, is used to ¯nd the system delays of the linear model, which are used in dynamical neural network model. …”
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    masterThesis
  13. 573

    Joint computing, communication and cost-aware task offloading in D2D-enabled Het-MEC by Abbas, Nadine

    Published 2022
    “…We formulate and solve the optimal allocation strategy then decompose the problem into two sub-problems in an attempt to reduce its complexity. …”
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    article
  14. 574

    Active distribution network type identification method of high proportion new energy power system based on source-load matching by Qinlin, Shi

    Published 2023
    “…Firstly, the typical daily output scenarios of DG are extracted by clustering method, and the generalized load curve model is solved by the optimization algorithm to obtain the source load operation data; Secondly, calculate the source-load matching indicators (including matching performance, matching degree, and matching rate) according to the source load data of each region, and identify the distribution network type according to the range of the index values; Finally, several indicators are introduced to quantify the characteristics of different types of distribution networks. …”
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    article
  15. 575

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

    Published 2017
    “…Fine tuning is done in the second optimization step, by choosing an appropriate damping constant to further improve the design. …”
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    conferenceObject
  16. 576

    A collaborative filtering recommendation framework utilizing social networks by Aamir Fareed (17019087)

    Published 2023
    “…The similarity measure is determined by a weighted combination of these two factors, with the weights learned through an optimization process. The framework is evaluated using a dataset of movie ratings and social connections between users. …”
  17. 577

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

    Published 2020
    “…In this work, a Deep Reinforcement Learning agent is proposed for controlling and optimizing a school building’s energy consumption. It is designed to search for optimal policies to minimize energy consumption, maintain thermal comfort, and reduce indoor contaminant levels in a challenging 21-zone environment. …”
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    An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation by El-Maleh, Aiman H.

    Published 2001
    “…Evolutionary algorithms have been effective in solving many search and optimization problems. …”
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    article
  20. 580