Search alternatives:
method algorithm » mould algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
Showing 61 - 80 results of 1,070 for search '(((( data using algorithm ) OR ( problem using algorithm ))) OR ( elements method algorithm ))*', query time: 0.14s Refine Results
  1. 61
  2. 62

    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. …”
    Get full text
    Get full text
    Get full text
    article
  3. 63
  4. 64

    Parallel genetic algorithm for disease-gene association by Mansour, Nashat

    Published 2011
    “…In this work, we combine few successful strategies from the literature and present a parallel genetic algorithm for the Tag SNP Selection problem. Our results compared favorably with those of a recognized tag SNP selection algorithm using three different data sets from the HapMap project.…”
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
  5. 65

    New enumeration algorithm for regular boolean functions by Nasrallah, Walid F.

    Published 2018
    “…This algorithm exploits the equivalence between regular Boolean functions and positive threshold functions that can be used to represent instances of the knapsack problem. …”
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
  6. 66

    Use of Data Mining Techniques to Detect Fraud in Procurement Sector by AL HAMMADI, SUMAYYA ABDULLA

    Published 2022
    “…The method used in this research is a classification of models and algorithms used in data mining. …”
    Get full text
  7. 67
  8. 68
  9. 69

    Teaching–learning-based optimization algorithm: analysis study and its application by Abualigah, Laith

    Published 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. …”
    Get full text
  10. 70

    Using Machine Learning Algorithms to Forecast Solar Energy Power Output by Ali Jassim Lari (22597940)

    Published 2025
    “…We focused on the first 30-min, 3-h, 6-h, 12-h, and 24-h windows to gain an appreciation of the impact of forecasting duration on the accuracy of prediction using the selected machine learning algorithms. The study results show that Random Forest outperformed all other tested algorithms. …”
  11. 71

    A Parallel Neural Networks Algorithm for the Clique Partitioning Problem by Harmanani, Haidar M.

    Published 2002
    “…In this paper we present a parallel algorithm to solve the above problem for arbitrary graphs using a Hopfield Neural Network model of computation. …”
    Get full text
    Get full text
    article
  12. 72

    An evolutionary algorithm for solving the geometrically constrained site layout problem by Zouein, P.

    Published 2017
    “…The layout problem considered in this paper is a static layout problem characterized by affinity weights used to model transportation costs between facilities and by geometric constraints between relative positions of facilities on site. …”
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
  13. 73

    A simulated annealing algorithm for the capacitated vehicle routing problem by Azar, Danielle

    Published 2017
    “…In this paper, we present a meta-heuristic approach for solving the CVRP based on simulated annealing. The algorithm uses a combination of random and deterministic operators that are based on problem knowledge information. …”
    Get full text
    Get full text
    Get full text
    conferenceObject
  14. 74

    A Simulated Annealing Algorithm For Fuzzy Unit Commitment Problem by Mantawy, A. H.

    Published 2020
    “…This paper presents a new algorithm based on integrating simulated annealing and fuzzy logic methods to solve the unit commitment problem. …”
    Get full text
    article
  15. 75

    A simulated annealing algorithm for fuzzy unit commitment problem by Mantawy, A.H.

    Published 1999
    “…This paper presents a new algorithm based on integrating simulated annealing and fuzzy logic methods to solve the unit commitment problem. …”
    Get full text
    Get full text
    article
  16. 76

    A simulated annealing algorithm for the capacitated vehicle routing problem by Azar, Danielle

    Published 2011
    “…In this paper, we present a meta-heuristic approach for solving the CVRP based on simulated annealing. The algorithm uses a combination of random and deterministic operators that are based on problem knowledge information. …”
    Get full text
    Get full text
    Get full text
    conferenceObject
  17. 77

    Scatter search algorithm for the cross-dock door assignment problem by Tarhini, Abbas

    Published 2014
    “…A lot of research has been conducted regarding this topic still, up to our knowledge, none used Scatter Search (SS). In this paper, we implemented this evolutionary metaheuristic algorithm and tested it, then compared the results with those of another evolutionary algorithm, Genetic Algorithm (GA). …”
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
  18. 78

    Natural optimization algorithms for the cross-dock door assignment problem by Tarhini, Abbas A.

    Published 2016
    “…The results indicate that the SS algorithm outperformed the GA, particularly for large-sized problems with a diverse reference set.…”
    Get full text
    Get full text
    Get full text
    Get full text
    article
  19. 79
  20. 80

    Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms by Usman Ali (6586886)

    Published 2022
    “…This was accomplished by (1) extracting reliable LULC information from Sentinel-2 and Landsat-8 s images, (2) generating remote sensing indices used to train ML algorithms, and (3) comparing the results with ground truth data. …”