يعرض 1 - 20 نتائج من 319 نتيجة بحث عن '(( elements data algorithm ) OR ((( designed based algorithm ) OR ( neural coding algorithm ))))*', وقت الاستعلام: 0.14s تنقيح النتائج
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    Design of PSS and STATCOM-based damping stabilizers using genetic algorithms حسب Abido, M.A.

    منشور في 2006
    "…Power system stability enhancement via coordinated design of power system stabilizers (PSSs) and STATCOM-based damping stabilizers is thoroughly investigated in this paper. …"
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    article
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    Modified Elite Opposition-Based Artificial Hummingbird Algorithm for Designing FOPID Controlled Cruise Control System حسب Abualigah, Laith

    منشور في 2023
    "…This study proposes a novel approach for designing a fractional order proportional-integral-derivative (FOPID) controller that utilizes a modified elite opposition-based artificial hummingbird algorithm (m-AHA) for optimal parameter tuning. …"
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    Robust Coordinated Design of Excitation and TCSC-Based Stabilizers Using genetic algorithms حسب Abdel-Magid, Y. L.

    منشور في 2004
    "…Power system stability enhancement via robust coordinated design of a power system stabilizer (PSS) and a thyristor-controlled series capacitor (TCSC)-based stabilizer is thoroughly investigated in this paper. …"
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    article
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    Thyristor controlled phase shifter based stabilizer design usingsimulated annealing algorithm حسب Abido, M.A.

    منشور في 1999
    "…This paper presents a thyristor controlled phase shifter (TCPS) based stabilizer design using the simulated annealing (SA) algorithm. …"
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    article
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    An evolutionary algorithm for network topology design حسب Youssef, H.

    منشور في 2001
    "…We present an approach based on a simulated evolution algorithm for design of a campus network topology. …"
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    article
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    Development of Lévy flight-based reptile search algorithm with local search ability for power systems engineering design problems حسب Abu Zitar, Raed

    منشور في 2022
    "…In conclusion, the proposed L-RSANM algorithm is shown to be more capable to solve the challenging power systems engineering design problems.…"
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    Teaching–learning-based optimization algorithm: analysis study and its application حسب Abualigah, Laith

    منشور في 2024
    "…The teaching–learning-based optimization (TLBO) algorithm is a novel nature-based optimization approach that has attracted a lot of interest from researchers because of its great capacity to handle optimization problems. …"
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    Fuzzy simulated evolution algorithm for topology design of campusnetworks حسب Youssef, H.

    منشور في 2000
    "…We present an approach based on the simulated evolution algorithm for the design of campus network topology. …"
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    article
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    A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS حسب Youssef, H.

    منشور في 2020
    "…In this paper, we present a Simulated Evolution algorithm for the design of campus network topology. …"
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    article
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    A modified ant colony algorithm for evolutionary design of digital circuits حسب Sait, Sadiq M.

    منشور في 2003
    "…The new paradigm is expected to radically change the synthesis procedures in a way that can help discovering novel designs and/or more efficient circuits. In this paper, a multiobjective optimization of logic circuits based on a modified ant colony (ACO) algorithm is presented. …"
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    Optimal multiobjective design of robust power system stabilizers using genetic algorithms حسب Abdel-Magid, Y.L.

    منشور في 2003
    "…Optimal multiobjective design of robust multimachine power system stabilizers (PSSs) using genetic algorithms is presented in this paper. …"
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    Bird’s Eye View feature selection for high-dimensional data حسب Samir Brahim Belhaouari (16855434)

    منشور في 2023
    "…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"