Search Results - (( developing solving delay algorithm ) OR ( java simulation optimization algorithm ))

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  1. 1

    One-step block methods for solving ordinary and delay differential equations by Mohd Radzi, Hazwani

    Published 2011
    “…A new modified algorithm from the existing program for solving ODEs was developed. …”
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    Thesis
  2. 2

    Block multistep methods for solving first order retarded and neutral delay differential equations by Abdul Aziz, Nurul Huda

    Published 2015
    “…A new subroutine function has been added in the developed algorithm with the capabilities to approximate the neutral delay term using the interpolation of function evaluation. …”
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    Thesis
  3. 3

    Predictor-corrector scheme in modified block method for solving delay differential equations with constant lag by Abdul Aziz, Nurul Huda, Abdul Majid, Zanariah, Ismail, Fudziah

    Published 2014
    “…In this developed algorithm, each coefficient in the predictor and corrector formula are recalculated when the step size changing. …”
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    Article
  4. 4

    Predictor-corrector scheme in modified block method for solving delay differential equations with constant lag by Nurul Huda Abdul Aziz, Zanariah Abdul Majid, Fudziah Ismail

    Published 2014
    “…In this developed algorithm, each coefficient in the predictor and corrector formula are recalculated when the step size changing. …”
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    Article
  5. 5

    Development of a two-level trade credit model with shortage for deteriorating products using hybrid metaheuristic algorithm by Molamohamadi, Zohreh

    Published 2015
    “…This proves the capability of the developed hybrid algorithm in solving the formulated model.…”
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    Thesis
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    Solving delay differential equations (DDEs) using nakashima's 2 stages 4th order Pseudo-Runge-Kutta method by Ayunni Sarbi N.A., Bin Mamat M.B.

    Published 2013
    “…This paper is investigate numerically the problem on solving Delay Differential Equations (DDEs) using Nakashima’s 2 Stages 4th Order Pseudo-Runge-Kutta Method and also developed the algorithm of Nakashima’s 2 Stages 4th Order Pseudo-Runge-Kutta Method incorporates with Hermite Interpolation. …”
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    Non-Indexed Article
  8. 8

    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. …”
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    Thesis
  9. 9

    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). …”
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    Monograph
  10. 10

    Multistep block methods for solving higher order delay differential equations by Hoo, Yann Seong

    Published 2016
    “…This thesis describes the development of numerical algorithms for solving higher order DDEs. …”
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    Thesis
  11. 11

    Adam’s type block methods for solving neutral delay differential equation with constant and panthograph delay by Ismail, Nur Inshirah Naqiah

    Published 2019
    “…The block methods have also produced less computational time in solving NDDE with con- stant and pantograph delay types.…”
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    Thesis
  12. 12

    Numerical solution of delay differential equation using two-derivative Runge-Kutta type method with Newton interpolation by Senu, N., Lee, K. C., Ahmadian, A., Ibrahim, S. N. I.

    Published 2022
    “…Numerical approach of two-derivative Runge-Kutta type method with three-stage fifth-order (TDRKT3(5)) is developed and proposed for solving a special type of third-order delay differential equations (DDEs) with constant delay. …”
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    Article
  13. 13

    Diagonally multistep block method for solving Volterra integro-differential equation with delay by Baharum, Nur Auni, Abdul Majid, Zanariah, Senu, Norazak, Rosali, Haliza

    Published 2023
    “…Volterra integro-differential equation with delay (VIDED) is solved using a diagonally multistep block method (DMB). …”
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    Article
  14. 14

    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
  15. 15

    An enhanced mobile internet protocol version 6 (IPv6) with multicast function and hierarchical design. by Khatun, Sabira

    Published 2006
    “…Mobile IPv6 mechanism requires some handover algorithm when it changes its point of attachment in the Internet.An enhanced micro mobility handover algorithm is developed on top of mobile IPv6. …”
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    Patent
  16. 16

    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. …”
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    Thesis
  17. 17

    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. …”
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    Thesis
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    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.…”
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    Monograph
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