Search Results - a distribution ((factor algorithm) OR (((function algorithm) OR (connection algorithm))))*

Refine Results
  1. 1
  2. 2

    Electricity distribution network for low and medium voltages based on evolutionary approach optimization by Hasan, Ihsan Jabbar

    Published 2015
    “…The results indicate that proposed algorithm has succeeded in finding a reasonable placement and sizing of distributed generation with adequate feeder path. …”
    Get full text
    Get full text
    Get full text
    Thesis
  3. 3

    Selection of access network using cost function method in heterogeneous wireless network by Mohamad Tahir, Hatim, Al-Ghushami, Abdullah Hussein, Yahya, Zainor Ridzuan

    Published 2014
    “…This method covers the weight distribution and cost factor techniques.The weight distribution is used to measure different weights for existing wireless network based on the user's preference and mobile terminal power.The cost factor technique is also used to identify the cost for performing handover target by considering every network parameters and its weight.Results obtained showed that the algorithm has the ability to increase user's satisfaction compared to other algorithms, which consistently choose one accessible network.…”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  4. 4

    Metaheuristic optimization techniques for localization in outdoor wireless sensor networks: a comprehensive review by Gumaida, Bassam, Ibrahim, Adamu Abubakar

    Published 2025
    “…This paper provides an overview of localization algorithms, including centralized and distributed algorithms. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  5. 5

    A firefly algorithm based hybrid method for structural topology optimization by Gebremedhen, H.S., Woldemichael, D.E., Hashim, F.M.

    Published 2020
    “…Since the direct application of the firefly algorithm cannot generate connected topologies, outputs from the firefly algorithm were used as an initial input material distribution for the OC method. …”
    Get full text
    Get full text
    Article
  6. 6

    Bayesian logistic regression model on risk factors of type 2 diabetes mellitus by Chiaka, Emenyonu Sandra

    Published 2016
    “…The Bayesian logistic regression methods made use of the metropolis hasting (Random walk algorithm) and the Gibbs sampler with the incorporation of non-informative flat prior and non-informative non-flat prior distributions to obtain the posterior distribution for each coefficient of the variables. …”
    Get full text
    Get full text
    Thesis
  7. 7

    Conjunctions in biological neural architectures for visual pose estimation / Tom´As Maul by Tom´As, Maul

    Published 2006
    “…Four levels of analysis are traversed in order of decreasing abstraction: computational, algorithmic, implementational and formational. As each level is traversed, a biological plausibility argument is gradually strengthened. …”
    Get full text
    Get full text
    Thesis
  8. 8

    Profit-based optimal generation scheduling of a microgrid by Muhamad Razali N.M., Hashim A.H.

    Published 2023
    “…A case study on the difference between grid-connected and islanded operation is presented. …”
    Conference paper
  9. 9
  10. 10

    Firefly analytical hierarchy algorithm for optimal allocation and sizing of distributed generation in radial distribution network by Bujal, Noor Ropidah

    Published 2022
    “…As for multi-objective functions associated with the optimisation problem, a weight-sum method is typically used to determine each objective function's coefficient factors (CF). …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  11. 11
  12. 12

    Optimal network reconfiguration and intelligent service restoration prediction technique based on Cuckoo search spring algorithm / Mohamad Izwan Zainal by Zainal, Mohamad Izwan

    Published 2022
    “…In addition, objective function using the same CSSA algorithm were applied i.e., Vmin and Ploss as the objective function, and multi-objective involves Vmin and Ploss as the objective function. …”
    Get full text
    Get full text
    Thesis
  13. 13

    Multi-objective Binary Clonal Selection Algorithm In The Retrieval Phase Of Discrete Hopfield Neural Network With Weighted Systematic Satisfiability by Romli, Nurul Atiqah

    Published 2024
    “…A Binary Clonal Selection Algorithm is being proposed to ensure optimal generation of the superior final neuron states. …”
    Get full text
    Get full text
    Thesis
  14. 14

    Determination of dengue hemorrhagic fever disease factors using neural network and genetic algorithms / Yuliant Sibaroni, Sri Suryani Prasetiyowati and Iqbal Bahari Sudrajat by Yuliant, Sibaroni, Sri Suryani, Prasetiyowati, Iqbal Bahari, Sudrajat

    Published 2020
    “…In this study, the problem of determination dengue disease factors was modeled using a neural network. The activation function in this neural network model then estimated using genetic algorithms. …”
    Get full text
    Get full text
    Get full text
    Article
  15. 15

    A study on regional GDP forecasting analysis based on radial basis function neural network with genetic algorithm (RBFNN-GA) for Shandong economy by Qing, Zhang, Abdullah, Abdul Rashid, Choo, Wei Chong, Ali, Mass Hareeza

    Published 2022
    “…The center of radial basis function neural network and smoothing factor to take a uniform distribution of the random radial basis function artificial neural network will be the focus of this study. …”
    Get full text
    Get full text
    Article
  16. 16

    Energy management and performance evaluation of grid connected PV-battery hybrid system with inherent control scheme by Guichi, Amar, Talha, Abdelaziz, Berkouk, El Madjid, Mekhilef, Saad

    Published 2018
    “…For this purpose, a new management algorithm is proposed to optimize the generated power and allows the system to act as a distributed source inside the utility grid. …”
    Get full text
    Get full text
    Article
  17. 17

    Enhanced marking process (EMP) for constructing dominating set in mobile ad-hoc networks with unidirectional links by Waheed, Bassam M. S., Mohd Ali, Borhanuddin, Khatun, Sabira, Mohd Sidek, Roslina

    Published 2014
    “…The proposed algorithm is integrated with AODV routing protocol to generate a connected dominating set that will be responsible on flooding activity. …”
    Get full text
    Get full text
    Get full text
    Article
  18. 18

    Impatient task mapping in elastic cloud using genetic algorithm by Mehdi, Nawfal A., Mamat, Ali, Ibrahim, Hamidah, K. Subramaniam, Shamala

    Published 2011
    “…Results: The results show an improvement in the proposed system compared to MCT algorithm as illustrated throughout the study. Conclusion: Batch mapping via genetic algorithms with throughput as a fitness function can be used to map jobs to cloud resources.…”
    Get full text
    Get full text
    Get full text
    Article
  19. 19

    Firefly analytical hierarchy algorithm for optimal allocation and sizing of DG in distribution network by Noor Ropidah, Bujal, Aida Fazliana, Abdul Kadir, Marizan, Sulaiman, Sulastri, Abdul Manap, Mohamad Fani, Sulaima

    Published 2022
    “…Hence, this study proposes a multi-objective firefly analytical hierarchy algorithm (FAHA) for determining the optimal allocation and sizing of DG. …”
    Get full text
    Get full text
    Get full text
    Article
  20. 20

    Innovative crossover and mutation in a genetic algorithm based approach to a campus bus driver scheduling problem with break consideration and embedded overtime by Ramli, Razamin, Ibrahim, Haslinda, Lim, Tze Shung

    Published 2013
    “…The unfairness of job distribution and the ineffectiveness of break-time assignment among bus drivers are factors identified as problem issues in the bus driver management in a university campus environment.The issues affect the quality of the bus service which then pointed to the efficiency or inefficiency of the bus driver scheduling system.Thus, this study investigates the problem and constraints connected to bus driver scheduling activities as a case in a campus environment.Therefore, we developed an efficient bus driver scheduling model based on the Genetic Algorithm (GA) approach. …”
    Get full text
    Get full text
    Get full text
    Article