Showing 61 - 80 results of 984 for search '(( element data algorithm ) OR ((( based models algorithm ) OR ( problem using algorithm ))))', query time: 0.12s Refine Results
  1. 61
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    Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem by Abu Zitar, Raed

    Published 2023
    “…The measurements and track generation are simulated using Stone Soup software. On the other hand, the optimization of the problem is implemented using several evolutionary-based metaheuristic algorithms. …”
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  3. 63

    An Efficient Tabu Search Algorithm For The Single-Machine Mean Tardiness Problem by Bendaya, M.

    Published 2020
    “…In this paper, an efficient tabu search algorithm is prepared ibr solving the singlemachine mean tardiness problem. …”
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    article
  4. 64
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    A parallel genetic algorithm for the geometrically constrained site layout problem by Zouein, P.

    Published 2018
    “…This paper presents a parallel genetic algorithm to solve the geometrically constrained site layout problem that involves coordinating the use of limited space to accommodate temporary facilities subject to geometric constraints. …”
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    conferenceObject
  6. 66

    Linear-time algorithms for problems on planar graphs with fixed disk dimension by Abu-Khzam, Faisal N.

    Published 2007
    “…In particular, a linear-time approximation algorithm is presented for the pathwidth problem.…”
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    article
  7. 67

    Integrating genetic algorithms, tabu search, and simulatedannealing for the unit commitment problem by Mantawy, A.H.

    Published 1999
    “…This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulated annealing methods to solve the unit commitment problem. …”
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    article
  8. 68

    A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems by Wali Khan Mashwani (14590504)

    Published 2021
    “…The test suite of benchmark function is recently designed for the special session of EAs competition in IEEE Congress on Evolutionary Computation (IEEE-CEC′13). The suggested algorithm has approximated promising solutions with good convergence and diversity maintenance for most of the used bound constrained single optimization problems. …”
  9. 69

    Efficient convex-elastic net algorithm to solve the Euclideantraveling salesman problem by Al-Mulhem, M.

    Published 1998
    “…This paper describes a hybrid algorithm that combines an adaptive-type neural network algorithm and a nondeterministic iterative algorithm to solve the Euclidean traveling salesman problem (E-TSP). …”
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    article
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    Multiclass feature selection with metaheuristic optimization algorithms: a review by Abu Zitar, Raed

    Published 2022
    “…Datasets can be classified using various methods. Nevertheless, metaheuristic algorithms attract substantial attention to solving different problems in optimization. …”
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  13. 73

    Physical optimization algorithms for mapping data to distributed-memory multiprocessors by Mansour, Nashat

    Published 1992
    “…PGA has excellent speed-ups by virtue of the natural evolution model on which it is based. PSA and PNN include communication schemes adapted to the properties of the mapping problem and of the algorithms themselves for reducing the communication overhead. …”
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    masterThesis
  14. 74

    A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units by El-Amin, I.

    Published 2020
    “…The algorithm was developed, implemented and tested on an integrated model for the MS problem. …”
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    article
  15. 75

    A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units by Duffuaa, S. O.

    Published 2020
    “…The algorithm was developed, implemented and tested on an integrated model for the MS problem. …”
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    article
  16. 76

    Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm by Nasser, Youssef

    Published 2024
    “…Various clustering methods are available, including K-means, hierarchical clustering, and density-based clustering. Among these, K-means is widely used for efficiently solving clustering problems. …”
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    masterThesis
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