يعرض 81 - 100 نتائج من 348 نتيجة بحث عن '(((( algorithm fa function ) OR ( algorithm a function ))) OR ( algorithm within function ))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 81

    Ensemble Deep Random Vector Functional Link Neural Network for Regression حسب Minghui Hu (2457952)

    منشور في 2022
    "…The esc-edRVFL is identified as the best-performing algorithm through a comprehensive evaluation of 31 UCI datasets.…"
  2. 82

    Simultaneous stabilization of multimachine power systems viagenetic algorithms حسب Abdel-Magid, Y.L.

    منشور في 1999
    "…The power system operating at various conditions is treated as a finite set of plants. The problem of selecting the parameters of power system stabilizers which simultaneously stabilize this set of plants is converted to a simple optimization problem which is solved by a genetic algorithm with an eigenvalue-based objective function. …"
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    article
  3. 83

    Evolutionary algorithm for predicting all-atom protein structure حسب Mansour, Nashat

    منشور في 2011
    "…This algorithm produces a 3D structure of the whole protein, including back-bone and side-chain atoms, by minimizing the energy function associated with the structure. …"
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  4. 84

    Distributed dimension reduction algorithms for widely dispersed data حسب Abu-Khzam, F.N.

    منشور في 2002
    "…Stress function measurements indicate that the distributed algorithm is highly competitive with the original FastMap heuristic.…"
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  5. 85

    Evolutionary algorithms for VLSI multi-objective netlist partitioning حسب Sait, Sadiq M.

    منشور في 2006
    "…A series of experiments are performed to evaluate the efficiency of the algorithms. …"
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    article
  6. 86
  7. 87

    A hybrid of clustering and meta-heuristic algorithms to solve a p-mobile hub location–allocation problem with the depreciation cost of hub facilities حسب Mahdi Mokhtarzadeh (11593310)

    منشور في 2021
    "…To solve the proposed model, four meta-heuristic algorithms, namely multi-objective particle swarm optimization (MOPSO), a non-dominated sorting genetic algorithm (NSGA-II), a hybrid of k-medoids as a famous clustering algorithm and NSGA-II (KNSGA-II), and a hybrid of K-medoids and MOPSO (KMOPSO) are implemented. …"
  8. 88

    An Evolutionary Algorithm for the Allocation Problem in High-Level Synthesis حسب Harmanani, Haidar

    منشور في 2005
    "…The system handles multicycle functional units as well as structural pipelining. The proposed method was implemented using C++ on a Linux workstation. …"
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    article
  9. 89

    An Artificial Neural Network for Online Tuning of Genetic Algorithm Based PI Controller for Interior Permanent Magnet Synchronous Motor–Drive حسب Rahman, M. A.

    منشور في 2006
    "…An artificial neural network (ANN) for online tuning of a genetic algorithm based PI controller for interior permanent magnet synchronous motor (IPMSM) drive is presented in this paper. …"
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    article
  10. 90

    An efficient failure-resilient mutual exclusion algorithm for distributed systems leveraging a novel zero-message overlay structure حسب Mouna Rabhi (17086969)

    منشور في 2024
    "…An extensive simulation study demonstrates the viability and efficiency of the proposed algorithm under various node failure models, and relevant metrics (e.g., node queue dimension, number of exchanged messages, and number of disconnected nodes) indicate a graceful degradation in performance with decreasing number of functioning nodes. …"
  11. 91

    Genetic Algorithm Based Simultaneous Eigenvalue Placement Of Power Systems حسب Abdel Magid, Y.L.

    منشور في 2020
    "…The task of selecting the output feedback gains is converted to a simple optimization problem with an eigenvaluebased objective function, which is solved by a genetic algorithm. …"
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    article
  12. 92

    Time-varying volatility model equipped with regime switching factor: valuation of option price written on energy futures حسب Leduc, Guillaume

    منشور في 2025
    "…We develop a semi-analytical method to determine the price of European options on these energy futures, involving the derivation of the characteristic function for the energy futures' dynamics. …"
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    article
  13. 93

    Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning حسب Sait, Sadiq M.

    منشور في 2003
    "…A series of experiments are performed to evaluate the efficiency of the algorithm. …"
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    article
  14. 94

    Properties of simulated annealing and genetic algorithms for mapping data to multicomputers حسب Mansour, Nashat

    منشور في 1997
    "…The others are used in the GA and SA algorithms. The fault tolerance capability is demonstrated by mapping data to a multicomputer with some faulty processors. …"
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    article
  15. 95

    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method حسب Amit Kumar Balyan (18288964)

    منشور في 2022
    "…In the proposed HNIDS, a PSO method improves the vector. GA is enhanced by adding a multi-objective function, which selects the best features and achieves improved fitness outcomes to explore the essential features and helps minimize dimensions, enhance the true positive rate (TPR), and lower the false positive rate (FPR). …"
  16. 96

    A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models حسب Osama Bassam J. Rabie (21323741)

    منشور في 2024
    "…For this purpose, a combination of Decisive Red Fox (DRF) Optimization and Descriptive Back Propagated Radial Basis Function (DBRF) classification are developed in the proposed work. …"
  17. 97
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  19. 99

    Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms حسب Harmanani, H. M.

    منشور في 2007
    "…The method is based on a genetic algorithm that efficiently explores the testable design space and finds a sub-optimal test registers assignment for each k-test session. …"
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    article
  20. 100

    Economic load dispatch using memetic sine cosine algorithm حسب Abu Zitar, Raed

    منشور في 2022
    "…In this paper, the economic load dispatch (ELD) problem which is an important problem in electrical engineering is tackled using a hybrid sine cosine algorithm (SCA) in a form of memetic technique. …"
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