يعرض 121 - 140 نتائج من 625 نتيجة بحث عن '(( element method algorithm ) OR ((( data tracking algorithm ) OR ( problem using algorithm ))))', وقت الاستعلام: 0.15s تنقيح النتائج
  1. 121

    Incremental Genetic Algorithm حسب Mansour, Nashat

    منشور في 2006
    "…If these problems are not small in size, it becomes costly to use a genetic algorithm to reoptimize them after each modification. …"
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    article
  2. 122
  3. 123

    Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering حسب Abu Zitar, Raed

    منشور في 2022
    "…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. …"
  4. 124

    Minimizing using BBO and DFO methods حسب El Zeghondy, Jean

    منشور في 2022
    "…In [1], Nour and Zeidan proposed a numerical algorithm to solve optimal control problems involving sweeping processes. …"
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    masterThesis
  5. 125

    Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect حسب Habeeb, Abdallah

    منشور في 2022
    "…The second phase, modified the Artificial Bee Colony (ABC) Algorithm, with Upper Confidence Bound (UCB) Algorithm, to promote the exploitation ability for the minimum dimension, to get the minimum number of the optimal feature, then using forward feature selection strategy by four classifiers of machine learning algorithms: (K-Nearest Neighbors (KNN), Support vector machines (SVM), Naïve-Bayes (NB), and Polynomial Neural Networks (PNN). …"
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  6. 126
  7. 127

    On the parameterized parallel complexity and the vertex cover problem حسب Abu-Khzam, Faisal N.

    منشور في 2016
    "…We initiate the study of FPPT with the well-known k-vertex cover problem. In particular, we present a parallel algorithm that outperforms the best known parallel algorithm for this problem: using O(m) instead of O(n2) parallel processors, the running time improves from 4logn+O(kk) to O(k⋅log3n) , where m is the number of edges, n is the number of vertices of the input graph, and k is an upper bound of the size of the sought vertex cover. …"
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    conferenceObject
  8. 128
  9. 129

    A Novel Internal Model Control Scheme for Adaptive Tracking of Nonlinear Dynamic Plants حسب Khan, T.

    منشور في 2006
    "…The U-model utilizes only past data for plant modelling and standard root solving algorithm for control law formulation. …"
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    article
  10. 130

    Stochastic optimal power flow framework with incorporation of wind turbines and solar PVs using improved liver cancer algorithm حسب Noor Habib Khan (22224775)

    منشور في 2024
    "…Moreover, ILCA is applied to resolve the stochastic renewable‐based (wind turbines + PVs) optimal power flow problem using a modified RER‐based IEEE 57‐bus. The objective of this work is to obtain the minimum predicted power losses and enhance the predicted voltage stability. …"
  11. 131
  12. 132

    Fuzzy genetic algorithm for floorplanning حسب Youssef, H.

    منشور في 2020
    "…Genetic algorithms (GAs) have been found to be very effective in solving numerous optimization problems, especially those with many (possibly) conflicting and noisy objectives. …"
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    article
  13. 133

    BUC algorithm for iceberg cubes حسب Nasr, George E.

    منشور في 2003
    "…The Uniform distribution is used as a basis for comparison. Results show that when the cube is sparse there is a correlation between the data distribution and the running time of the algorithm. …"
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  14. 134
  15. 135
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  17. 137

    A multiobjective optimization method for the SOC Test Time, TAM, and power optimization using a strength pareto evolutionary algorithm حسب Harmanani, Haidar M.

    منشور في 2017
    "…This paper presents a multiobjective optimization approach for the SOC test scheduling problem. The method uses a Strength Pareto Evolutionary Algorithm that minimizes the overall test application time in addition to power, wrapper design and TAM assignment. …"
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  18. 138

    The monotone circuit value problem with bounded genus is in NC حسب Abu-Khzam, Faisal N.

    منشور في 2017
    "…We present an efficient parallel algorithm for the general Monotone Circuit Value Problem (MCVP) with n gates and an underlying graph of bounded genus k. …"
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  19. 139
  20. 140

    Correlation Clustering with Overlaps حسب Fakhereldine, Amin

    منشور في 2020
    "…In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …"
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    masterThesis