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Showing 41 - 60 results of 1,191 for search '(( elements method algorithm ) OR ((( a modeling algorithm ) OR ( problem using algorithm ))))', query time: 0.17s Refine Results
  1. 41
  2. 42

    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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  3. 43

    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
  4. 44

    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
  5. 45

    A GLOBAL ALGORITHM FOR THE FUZZY CLUSTERING PROBLEM by Selim, S.Z.

    Published 2020
    “…The global minimum solution of the problem is found using a simulated annealing-based algorithm. …”
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    article
  6. 46

    Scalable parallel algorithms for difficult combinatorial problems by Abu-Khzam, Faisal N.

    Published 2004
    “…These complementary tools and technologies are used to launch systematic attacks on combinatorial problems of significance. …”
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    conferenceObject
  7. 47

    A Parallel Genetic Algorithm for the Open-Shop Scheduling Problem Using Deterministic and Random Moves by Harmanani, Haidar M.

    Published 2016
    “…This paper investigates the use of parallel genetic algorithms in order to solve the open-shop scheduling problem. …”
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    article
  8. 48

    Improvement Algorithm for Limited Space Scheduling by Zouein, Pierrette

    Published 2001
    “…This paper addresses the combined problem termed “space scheduling” and presents an algorithmic time-space trade-off model for adjusting activity durations and start dates to decrease the need for space over congested time periods. …”
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    article
  9. 49

    Evolutionary algorithm for protein structure prediction by Mansour, Nashat

    Published 2010
    “…In this paper, we present an improved genetic algorithm (GA) for predicting 3D structures of proteins based on the hydrophobic polar model. …”
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    conferenceObject
  10. 50
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    An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling by ALKETBI, SAIF

    Published 2016
    “…The work presented in thesis add to the existing literature in a proposing the use of a genetic algorithm uncertain approach to resource- scheduling in projects. …”
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  12. 52

    An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications by Abu Zitar, Raed

    Published 2021
    “…The various applications tackled using relevant versions of JAYA algorithm are also discussed and summarized based on several problem domains. …”
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  13. 53

    A kernelization algorithm for d-Hitting Set by Abu-Khzam, Faisal N.

    Published 2010
    “…Our method is used also to obtain quadratic kernels for several other problems. …”
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    article
  14. 54

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

    Published 2005
    “…This paper presents an evolutionary algorithm to solve the datapath allocation problem in high-level synthesis. …”
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    article
  15. 55

    Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems by Abualigah, Laith

    Published 2023
    “…The proposed method is based on enhancing the search process of the Prairie Dog Optimization Algorithm (PDOA) by using the primary updating mechanism of the Dwarf Mongoose Optimization Algorithm (DMOA). …”
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  16. 56
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  18. 58

    An L2 Gap Metric Identification Algorithm by Al-Amer, Samir Hasan

    Published 2020
    “…In this paper, an L2-gap metric identification algorithm is proposed. The algorithm uses a set of frequency response samples to come up with rational models so that the L2-gap between the observations and the identified model is minimized. …”
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    article
  19. 59

    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
  20. 60