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algorithm optimization » algorithm optimizer (توسيع البحث)
يعرض 181 - 200 نتائج من 209 نتيجة بحث عن 'genetic algorithm optimization', وقت الاستعلام: 0.06s تنقيح النتائج
  1. 181

    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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  2. 182

    Virtual Inertia Support in Power Systems for High Penetration of Renewables—Overview of Categorization, Comparison, and Evaluation of Control Techniques حسب Naruttam Kumar Roy (16904544)

    منشور في 2022
    "…Integrating intelligent methods, such as fuzzy logic, genetic algorithm, non-convex optimization, and heuristic optimization, signify intelligent control methods. …"
  3. 183

    Joint Planning of Smart EV Charging Stations and DGs in Eco-Friendly Remote Hybrid Microgrids حسب Shaaban, Mostafa

    منشور في 2019
    "…An outer sub-problem determines the locations and sizes of the DG units and charging stations using a non-dominated sorting Genetic algorithm (NSGA-II). Given the allocation and sizing decisions, an inner sub-problem ensures smart, reliable, and eco-friendly operation of the microgrid by solving a non-linear scheduling problem. …"
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    article
  4. 184

    An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation حسب El-Maleh, Aiman H.

    منشور في 2001
    "…Evolutionary algorithms have been effective in solving many search and optimization problems. …"
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    article
  5. 185

    Nested ensemble selection: An effective hybrid feature selection method حسب Kamalov, Firuz

    منشور في 2023
    "…The proposed method is compared against several popular algorithms including mRMR, Boruta, genetic, recursive feature elimination, Lasso, and Elastic Net. …"
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    article
  6. 186

    Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates حسب Ratiba F. Ghachi (14152455)

    منشور في 2022
    "…<h2>Purpose</h2> <p>We present an approach that combines finite element analysis and genetic algorithms to find the optimal configuration of local resonators created in the host structure to suppress their vibration in a target low-frequency range. …"
  7. 187

    Performance driven standard-cell placement using the geneticalgorithm حسب Youssef, H.

    منشور في 1995
    "…In this paper we present a timing-driven placer for standard-cell IC design. The placement algorithm follows the genetic paradigm. Besides optimizing for area and wire length, the placer minimizes the propagation delays on a predicted set of critical paths. …"
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    article
  8. 188

    Dynamic single node failure recovery in distributed storage systems حسب Itani, M.

    منشور في 2017
    "…To minimize the system repair cost, we formulate our problem using incidence matrices and solve it heuristically using genetic algorithms for all possible cases of single node failures. …"
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    article
  9. 189

    Iterative heuristics for multiobjective VLSI standard cellplacement حسب Sait, Sadiq M.

    منشور في 2001
    "…We employ two iterative heuristics for the optimization of VLSI standard cell placement. These heuristics are based on genetic algorithms (GA) and tabu search (TS) respectively. …"
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    article
  10. 190

    EVOLUTIONARY HEURISTICS FOR MULTIOBJECTIVE VLSI NETLIST BI-PARTITIONING حسب Sait, Sadiq M.

    منشور في 2020
    "…These heuristics are based on Genetic Algorithms (GAs) and Tabu Search (TS) [sadiq et al., 1999] respectively. …"
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    article
  11. 191

    A new variable structure DC motor controller using geneticalgorithms حسب Al-Hamouz, Z.M.

    منشور في 1998
    "…This paper presents a new application of the genetic algorithm for the selection of the variable structure controller (VSC) feedback gains and switching vector for a separately excited DC motor. …"
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    article
  12. 192

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

    منشور في 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
  13. 193

    AI-Augmented Metasurface Synthesis for Dynamic Beam Steering in Reconfigurable Antenna Arrays حسب Bostani, Ali

    منشور في 2025
    "…As compared to the conventional heuristic methods, for example, genetic algorithms (GA), particle swarm optimization (PSO), the approach based on DRLs has rapid policy convergence, has relatively less computational latency, and is autonomous to adapt to dynamic wireless conditions. …"
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    article
  14. 194

    A Novel Centrality-Based Approach for Link Prediction حسب El Khoury, Elissa Lichaa

    منشور في 2025
    "…Namely, we consider weighted betweenness, closeness and Katz centralities, in addition to the Resource Allocation and Adamic-Adar indices. We also use a genetic algorithm to optimize the weights of these metrics, reflecting their contributions to link prediction. …"
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  15. 195

    A new fuzzy logic controller based IPM synchronous motor drive حسب Abido, M.A.

    منشور في 2003
    "…The FLC parameters are optimized by genetic algorithm. The complete vector control scheme incorporating the FLC is successfully implemented in real-time using a digital signal processor board DS 1102 for a laboratory 1 hp interior permanent magnet (IPM) motor. …"
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    article
  16. 196

    Investigating the Impact of Skylights and Atrium Configurations on Visual Comfort and Daylight Performance in Dubai Shopping Malls حسب SANAD, AYMAN ADEL AHMED

    منشور في 2025
    "…Annual simulations are used to assess seasonal variations, while sensitivity analysis identifies key parameters. A genetic algorithm and multi-objective optimisation (MOO) simulations are used to generate optimal configurations, summarised in the form of a Pareto front selection criteria guide the choice of the optimum solution, which is then applied and analysed in a case study. …"
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  17. 197

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

    منشور في 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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    article
  18. 198

    An evolutionary meta-heuristic for state justification insequential automatic test pattern generation حسب El-Maleh, A.H.

    منشور في 2001
    "…Evolutionary algorithms have been effective in solving many search and optimization problems. …"
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    article
  19. 199

    Improving passenger satisfaction at Kuwait International Airport by using multi-objective optimisation حسب Alsaber, Ahmad

    منشور في 2024
    "…The proposed methods employ optimisation techniques such as mixed integer goal programming (MIGP) and genetic algorithm (GA) to offer a comparative multi-solution outcome towards optimising the passenger quality of services at airport departure check-in. …"
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  20. 200

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

    منشور في 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