Search Results - (( module integration types algorithm ) OR ( java simulation optimization algorithm ))

Refine Results
  1. 1
  2. 2

    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing by Husna, Jamal Abdul Nasir

    Published 2011
    “…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
    Get full text
    Get full text
    Get full text
    Thesis
  3. 3

    Ant colony optimization algorithm for load balancing in grid computing by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2012
    “…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
    Get full text
    Get full text
    Get full text
    Monograph
  4. 4

    Integral-derivative (I-D) and modulation-index-curve prediction control techniques for three-phase AC-DC buck-type converter with simplified voltage-based SPWM /Azrita Alias by Azrita, Alias

    Published 2015
    “…The algorithm of the modulation-index-curve prediction technique is obtained through I-D control model by determining closed-loop dominant poles. …”
    Get full text
    Get full text
    Thesis
  5. 5

    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT by Murad S.S., Badeel R., Alsandi N.S.A., Alshaaya R.F., Ahmed R.A., Muhammed A., Derahman M.

    Published 2023
    “…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
    Review
  6. 6

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
    Get full text
    Get full text
    Thesis
  7. 7

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
    Get full text
    Get full text
    Thesis
  8. 8

    Separable Recursive Training Algorithms with Switching Module by Asirvadam , Vijanth Sagayan

    Published 2009
    “…A novel hybrid or separable recursive training strategies are de rived for the training of feedforward neural networks which incoporates a switching module. This new technique for updating weights combines non linear recursive training algorithms for the optimization of nonlinear weights with recursive least square type algorithms for the training of linear weights in one integrated routine. …”
    Get full text
    Get full text
    Book Section
  9. 9
  10. 10

    Resource management in grid computing using ant colony optimization by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2011
    “…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
    Get full text
    Get full text
    Get full text
    Get full text
    Monograph
  11. 11

    Railway shortest path planner application using ant colony optimization algorithm / Muhammad Hassan Firdaus Ruslan by Ruslan, Muhammad Hassan Firdaus

    Published 2017
    “…For the process module, Ant Colony Optimization (ACO) algorithm was used to find the shortest path. …”
    Get full text
    Get full text
    Thesis
  12. 12

    Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter by Azhar, Nur Huwaina

    Published 2019
    “…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
    Get full text
    Get full text
    Thesis
  13. 13

    SENSORY EXPERT: DEVICE FOR SENSORY TEST by MOHD ADZMI, MOHD DANIAL AIMAN

    Published 2018
    “…In the study, the concept of creating heating element is by varying the current flows into the peltier module by using Force Sensitive resistive (FSR) sensor but it is find that the amount of current flows into the peltier module is very low which causes circuit switching method is implemented by using three poles four throw switch with different type of resistors in the circuit. …”
    Get full text
    Get full text
    Final Year Project
  14. 14

    Virtual force field algorithm for a behaviour-based autonomous robot in unknown environments by Nakhaeinia, Danial, Tang, Sai Hong, Karasfi, Babak, Motlagh, Omid Reza Esmaeili, Kit, A. C.

    Published 2011
    “…Other improvements concern functional and computational aspects of the design and integration of the modules. The robot shows robust performance in complex situations and local minimum scenarios. …”
    Get full text
    Get full text
    Get full text
    Article
  15. 15

    Ensemble Separable Recurs ive Techniques for MLP Networks by Asirvadam , Vijanth Sagayan, McLoone, Sean

    Published 2010
    “…Novel hybrid or separable recursive training strategies are proposed for the training of feedforward neural networks which include switching modules and ensemble between them. This new technique for updating weights combines nonlinear recursive training algorithms for the optimization of nonlinear weights with recursive least square (RLS) type algorithms for the training of linear weights in one integrated routine. …”
    Get full text
    Get full text
    Article
  16. 16
  17. 17
  18. 18
  19. 19
  20. 20

    Enhancement of bearing defect diagnosis via genetic algorithm optimized feature selection by Chia, Yee Shin

    Published 2015
    “…The developed bearing fault diagnosis system has been evaluated and assessed for various working conditions such as rotating speeds, bearing types, fault types and fault sizes. Results show that the reinforced network classifier with GA feature selection algorithm has successfully increased the classification accuracy of training process and testing process by 13.87% and 14.21% respectively compared to the conventional neural network classifier. …”
    Get full text
    Get full text
    Get full text
    Thesis