Showing 121 - 140 results of 650 for search '(((( data could algorithm ) OR ( problem using algorithm ))) OR ( element method algorithm ))', query time: 0.12s Refine Results
  1. 121
  2. 122

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

    Published 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
  3. 123
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    Stochastic optimal power flow framework with incorporation of wind turbines and solar PVs using improved liver cancer algorithm by Noor Habib Khan (22224775)

    Published 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. …”
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    Fuzzy genetic algorithm for floorplanning by Youssef, H.

    Published 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
  7. 127

    BUC algorithm for iceberg cubes by Nasr, George E.

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

    Published 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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  12. 132

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

    Published 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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  13. 133
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    Correlation Clustering with Overlaps by Fakhereldine, Amin

    Published 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
  15. 135

    Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization by Abu Zitar, Raed

    Published 2024
    “…The IPDOA performance was compared with the other 8 metaheuristic optimization algorithms and the testing showed its superiority over those techniques for solving this complex problem. …”
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    A comparison of optimization heuristics for the data mapping problem by Mansour, Nashat

    Published 1997
    “…In this paper we compare the performance of six heuristics with suboptimal solutions for the data mapping problem of two dimensional meshes that are used for the numerical solution of Partial Differential Equations(PDEs) on multicomputers. …”
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    article
  18. 138

    Squirrel Search Algorithm for Portfolio Optimization by Dhaini, Mahdi

    Published 2019
    “…However, the successes of nature-inspired algorithms in hard computational optimization problems have encouraged researchers to design and apply these algorithms for a variety of optimization problems. …”
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    masterThesis
  19. 139

    Stochastic Search Algorithms for Exam Scheduling by Mansour, Nashat

    Published 2007
    “…A good exam schedule should aim to minimize conflicts and the two unfairness factors based on user-assigned weights to these three factors and subject to some constraints such as classrooms’ number and capacities. In this work, we use a modified weighted-graph coloring problem formulation and adapt two stochastic search algorithms for solving the problem. …”
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    article
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