Search Results - "Mohamed, Ali Khater"

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  1. 1

    Differential Evolution Mutations: Taxonomy, Comparison and Convergence Analysis by Mohamed, Ali Wagdy, Hadi, Anas A., Mohamed, Ali Khater

    Published in IEEE access (01-01-2021)
    “…During last two decades, Differential Evolution (DE) proved to be one of the most popular and successful evolutionary algorithms for solving global…”
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    Journal Article
  2. 2

    Gaining-Sharing Knowledge Based Algorithm With Adaptive Parameters for Engineering Optimization by Mohamed, Ali Wagdy, Abutarboush, Hattan F., Hadi, Anas A., Mohamed, Ali Khater

    Published in IEEE access (2021)
    “…As optimization algorithms have a great power to solve nonlinear, complex, and hard optimization problems, nature-inspired algorithms have been applied…”
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    Journal Article
  3. 3

    Adaptive guided differential evolution algorithm with novel mutation for numerical optimization by Mohamed, Ali Wagdy, Mohamed, Ali Khater

    “…This paper presents adaptive guided differential evolution algorithm (AGDE) for solving global numerical optimization problems over continuous space. In order…”
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    Journal Article
  4. 4

    Gaining-sharing knowledge based algorithm for solving optimization problems: a novel nature-inspired algorithm by Mohamed, Ali Wagdy, Hadi, Anas A., Mohamed, Ali Khater

    “…This paper proposes a novel nature-inspired algorithm called Gaining Sharing Knowledge based Algorithm (GSK) for solving optimization problems over continuous…”
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    Journal Article
  5. 5

    A Comparative Study of Weight Initialization Techniques for Convolutional Neural Networks in COVID-19 Classification from X-ray Images by Nagib, Abdelrahman Ezzeldin, Saeed, Mostafa, El-Feky, Shereen Fathy, Mohamed, Ali Khater

    “…The rapid spread of the COVID-19 pandemic has created a pressing urgent need for accurate and efficient diagnostic tools. Recently, Convolutional neural…”
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    Conference Proceeding
  6. 6

    Evaluating the performance of meta-heuristic algorithms on CEC 2021 benchmark problems by Mohamed, Ali Wagdy, Sallam, Karam M., Agrawal, Prachi, Hadi, Anas A., Mohamed, Ali Khater

    Published in Neural computing & applications (2023)
    “…To develop new meta-heuristic algorithms and evaluate on the benchmark functions is the most challenging task. In this paper, performance of the various…”
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    Journal Article
  7. 7

    Evaluating the Performance of Adaptive GainingSharing Knowledge Based Algorithm on CEC 2020 Benchmark Problems by Mohamed, Ali Wagdy, Hadi, Anas A., Mohamed, Ali Khater, Awad, Noor H.

    “…This paper introduces an enhancement of the recent developed Gaining Sharing Knowledge based algorithm, dubbed as GSK. This algorithm is an excellent example…”
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    Conference Proceeding
  8. 8

    Gaining-Sharing Knowledge Based Algorithm with Adaptive Parameters Hybrid with IMODE Algorithm for Solving CEC 2021 Benchmark Problems by Mohamed, Ali Wagdy, Hadi, Anas A., Agrawal, Prachi, Sallam, Karam M., Mohamed, Ali Khater

    “…The initiative to introduce new benchmark problems has drawn attention to the development of new optimization algorithms. Recently, a set of constrained…”
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    Conference Proceeding
  9. 9

    EncodKNN: Augmenting KNN with Autoencoder for Computational Cost Reduction by El-Feky, Shereen Fathy, Mohamed, Ali Khater, Ammar, Ammar Mohammed

    “…The K Nearest Neighbor (kNN) is a classification method that's easy to understand a nd commonly used in statistical data mining. Typically, kNN operates by…”
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    Conference Proceeding
  10. 10

    Generalized Adaptive Differential Evolution algorithm for Solving CEC 2020 Benchmark Problems by Mohamed, Ali Khater, Hadi, Anas A., Mohamed, Ali Wagdy

    “…The effort devoted in introducing new numerical optimization benchmarks has attracted the attention to develop new optimization algorithms to solve them. Very…”
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    Conference Proceeding
  11. 11

    Neural Network with Adaptive Learning Rate by Nagib, Abdelrahman Ezzeldin, Mohamed Saeed, Mostafa, El-Feky, Shereen Fathy, Khater Mohamed, Ali

    “…Over the last two decades, the neural network has surprisingly arisen as an efficient tool for dealing with numerous real-life applications. Optimization of…”
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    Conference Proceeding