Search Results - (( code application ((bayes algorithm) OR (ant algorithm)) ) OR ( _ location modified algorithm ))*

Refine Results
  1. 1
  2. 2
  3. 3
  4. 4

    Modified damage location indices in beam-like structure: Analytical study by Fayyadh, M.M., Razak, H.A.

    Published 2011
    “…The modified algorithms are able to detect the damage wherever its location, applying even to cases of multi damage locations. …”
    Get full text
    Get full text
    Article
  5. 5

    Modified harmony search algorithm for location-inventory-routing problem in supply chain network design with product returns by Misni, F., Lee, L. S.

    Published 2021
    “…This problem is solved by a proposed Modified Harmony Search (MHS) algorithm with dynamic parameter setting and multi-local neighbourhood search techniques. …”
    Get full text
    Get full text
    Get full text
    Article
  6. 6

    Recent advances of whale optimization algorithm, its versions and applications by Alyasseri Z.A.A., Ali N.S., Al-Betar M.A., Makhadmeh S.N., Jamil N., Awadallah M.A., Braik M., Mirjalili S.

    Published 2024
    “…The main idea behind the SI is to transfer the interactions between living organisms into a mathematical model that can find the optimal solution for real-world problems based on biological behavior such as ants, birds, and fish. One of the SI algorithms is called the whale optimization algorithm (WOA). …”
    Book chapter
  7. 7

    Task scheduling in cloud computing using hybrid genetic algorithm and bald eagle search (GA-BES) by Kamal Khairi Supaprhman

    Published 2022
    “…As for the running method the compilation of the code will be run by using cmd and Ant Apache and the total average result of 30 simulation will be view on the web base application will be run using xampp.…”
    Get full text
    Get full text
    Get full text
    Academic Exercise
  8. 8

    Classifying good and bad websites by Koo, Ee Woon

    Published 2015
    “…The classification process is made easy by using set of features generated from HTML codes. The performance ofthe 21 features were evaluated by using three machine learning techniques: support vector machine (SVM), naIve bayes, and nearest neighbor classifiers. …”
    Get full text
    Get full text
    Get full text
    Final Year Project Report / IMRAD
  9. 9
  10. 10

    Wind farm layout design using modified particle swarm optimization algorithm by Rehman, S., Ali, S.S.A.

    Published 2015
    “…The proposed algorithm, termed as the modified particle swarm optimization algorithm (MPSO), is compared with previous results generated by another optimization algorithm, namely, genetic algorithm. …”
    Get full text
    Get full text
    Conference or Workshop Item
  11. 11

    A modified crow search algorithm with niching technique for numerical optimization by Islam, J., Vasant, P.M., Negash, B.M., Watada, J.

    Published 2019
    “…This paper proposes a modified crow search algorithm with local search and niching technique. …”
    Get full text
    Get full text
    Conference or Workshop Item
  12. 12

    A modified crow search algorithm with niching technique for numerical optimization by Islam, J., Vasant, P.M., Negash, B.M., Watada, J.

    Published 2019
    “…This paper proposes a modified crow search algorithm with local search and niching technique. …”
    Get full text
    Get full text
    Conference or Workshop Item
  13. 13

    A Modified Hopfield Neural Network Algorithm (MHNNA) Using ALOS Image for Water Quality Mapping by Ahmed Asal Kzar, Ahmed Asal Kzar, M Jafri, Mohd Zubir, Mutter, Kussay N., Anwar, Saumi Syahreza

    Published 2016
    “…Coastal health of ecosystems can be affected by high concentrations of suspended sediment. In this work, a Modified Hopfield Neural Network Algorithm (MHNNA) was used with remote sensing imagery to classify the total suspended solids (TSS) concentrations in the waters of coastal Langkawi Island, Malaysia. …”
    Get full text
    Get full text
    Get full text
    Article
  14. 14
  15. 15

    Hybridization of modified sine cosine algorithm with tabu search for solving quadratic assignment problem by Nurdiyana, Jamil

    Published 2022
    “…Firstly, the modified SCA (MSCA) model with cost-based local search strategy is developed. …”
    Get full text
    Get full text
    Thesis
  16. 16

    Enhanced Quality of Service of Cell-Edge User by Extending Modified Largest Weighted Delay First Algorithm in LTE Networks by Chayon, H.R., Dimyati, K., Ramiah, H., Reza, A.W.

    Published 2017
    “…However, users in the cell-edge area are receiving comparatively low QoS due to the distance from eNodeB (eNB) and bad channel conditions. The Conventional Modified Largest Weighted Delay First (MLWDF) algorithm is unable to resolve this issue, as it does not consider the location of the user. …”
    Get full text
    Get full text
    Article
  17. 17
  18. 18

    An Improved Wavelet Neural Network For Classification And Function Approximation by Ong , Pauline

    Published 2011
    “…Second, the proposed enhanced fuzzy c-means clustering algorithm—specifically, the modified point symmetry-based fuzzy c-means (MPSDFCM) algorithm—was employed in selecting the locations of the translation vectors of the WNN. …”
    Get full text
    Get full text
    Thesis
  19. 19

    A modified reweighted fast consistent and high-breakdown estimator for high-dimensional datasets by A. Baba, Ishaq, Midi, Habshah, June, Leong W., Ibragimov, Gafurjan

    Published 2024
    “…The basic idea of our proposed method is to modify the Mahalanobis distance so that it uses only the diagonal elements of the scatter matrix in the computation of the RFCH algorithm. …”
    Get full text
    Get full text
    Get full text
    Article
  20. 20

    Optimum MV Feeder Routing and Substation siting and rating in Distribution Network by Hasan, Ihsan Jabbar, Ab Ghani, Mohd Ruddin, Gan, Chin Kim

    Published 2014
    “…The main objective of the distribution system planning is to find the optimum number of substation, location, size and feeders routing. This paper proposes an evolutionary algorithm to determine the optimum distribution substation placement and sizing by using the particle swarm optimization algorithm and optimum feeder routing using modified minimum spanning tree algorithm. …”
    Get full text
    Get full text
    Conference or Workshop Item