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  1. 521

    General iterative heuristics for VLSI multiobjective partitioning by Sait, Sadiq M.

    Published 2003
    “…In this paper, we engineer two iterative heuristics for the optimization of VLSI netlist bi-Partitioning. These heuristics are based on Genetic Algorithms (GAs) and Tabu Search (TS) and incorporate fuzzy rules in order to handle the multiobjective cost function. …”
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    article
  2. 522

    Convergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review by Mohamed Massaoudi (16888710)

    Published 2021
    “…In addition, this review analyzes recent automatic architecture optimization algorithms for DL-based PVPF. Next, the notable DL technologies are thoroughly described. …”
  3. 523

    Scatter search technique for exam timetabling by Mansour, Nashat

    Published 2011
    “…We evaluate our suggested technique on real-world university data and compare our results with the registrar’s manual timetable in addition to the timetables of other heuristic optimization algorithms. The experimental results show that our adapted scatter search technique generates better timetables than those produced by the registrar, manually, and by other meta-heuristics.…”
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    article
  4. 524

    Enhancement of power system dynamic performance through an on-line self-tuning adaptive SVC controller by Rahim, A.H.M.A.

    Published 2006
    “…Use of a self-tuning adaptive control algorithm as a supplementary controller for the SVC is presented in this article. …”
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    article
  5. 525

    Digital Image Watermarking Using Balanced Multiwavelets by Ghouti, L.

    Published 2006
    “…In this paper, a robust watermarking algorithm using balanced multiwavelet transform is proposed. …”
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    article
  6. 526

    Enhanced Inverse Model Predictive Control for EV Chargers: Solution for Rectifier-Side by Ali Sharida (17947847)

    Published 2024
    “…Then, an adaptive estimation strategy employing a recursive least square algorithm is proposed for online dynamic model estimation, which is then used by the IMPC for optimal switching states prediction. …”
  7. 527

    A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks by Sakib Mahmud (15302404)

    Published 2025
    “…We present a structured taxonomy covering value-based, policy-based, actor-critic, model-based, and advanced multi-agent and multi-objective approaches, and link algorithms to tasks such as dispatch, microgrid coordination, real-time pricing, load balancing, and demand–response. …”
  8. 528

    Design of a vibration absorber for harmonically forced damped systems by Issa, Jimmy

    Published 2013
    “…Two different numerical approaches are used in solving the problem; the first is based on the genetic algorithm technique and the second on the downhill simplex method. …”
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  9. 529

    A matheuristic approach for solving the 2-connected dominating set problem by Raka Jovanovic (17947838)

    Published 2019
    “…The goal of the proposed method is to find near optimal solutions for large graphs. The algorithm is based on a Greedy Randomized Adaptive Search Procedure (GRASP). …”
  10. 530
  11. 531

    Towards Multimedia Fragmentation by Saad, Samir

    Published 2006
    “…We particularly discuss multimedia primary horizontal fragmentation and provide a partitioning strategy based on low-level multi-media features. Our approach particularly emphasizes the importance of multimedia predicates implications in optimizing multimedia fragments. …”
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    conferenceObject
  12. 532

    Development of multivariable PID controller gains in presence of measurement noise by Saab, Samer S.

    Published 2017
    “…The development of the proposed optimal algorithm is based on minimising a stochastic performance index in presence of erroneous initial conditions, white measurement noise, and white process noise. …”
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  13. 533

    Control of cardiac alternans by mechanical and electrical feedback by Yapari, Felicia

    Published 2014
    “…The coupled model includes the active stress which defines the mechanical properties of the tissue and is utilized in the feedback algorithm as an independent input from the pacing based controller realization in alternans annihilation. …”
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    article
  14. 534

    A Stochastic Approach To Solving The Weight Setting Problem in OSPF Networks by Shaik, Muzibur Rehman

    Published 2007
    “…OSPF calculates the shortest paths from each source to all destinations using the Dijkstra’s algorithm based on the weights assigned to the links. …”
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    masterThesis
  15. 535

    A Dual Vibration Absorber for Vibration Suppression of Harmonically Forced Systems by El Khoury, Elie

    Published 2022
    “…Then, a numerical technique based on both the genetic algorithm and the search simplex method is used to calculate the optimal system parameters. …”
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    masterThesis
  16. 536

    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. …”
  17. 537

    Mitigating Motion Sickness in Autonomous Vehicles for Improved Passenger Comfort by Wadi, Ali

    Published 2024
    “…This approach requires equipping the passenger vehicle with an adaptive suspension system with active roll compensation. The optimal roll angle for MS mitigation is computed based on accurate sensor-fused inertial estimates using an off-the-shelf inertial navigation solution. …”
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    article
  18. 538

    A Stochastic Approach To Solving The Weight Setting Problem in OSPF Networks by Shaik, Muzibur Rehman

    Published 2007
    “…OSPF calculates the shortest paths from each source to all destinations using the Dijkstra’s algorithm based on the weights assigned to the links. …”
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    masterThesis
  19. 539

    SDODV. (c2018) by Assi, Maram

    Published 2018
    “…Therefore, the routing problem designated to find and maintain an optimal route between two nodes is not very straight forward. …”
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    masterThesis
  20. 540

    Dynamic Layout Planning Using a Hybrid Incremental Solution Method by Zouein, Pierrette

    Published 1999
    “…Subsequently, a linear program is solved to find the optimal position for each resource so as to minimize all costs. …”
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    article