Search Results - (( solution construction method algorithm ) OR ( problem implementation using algorithm ))

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  1. 1

    Enhancement of Ant System Algorithm for Course Timetabling Problem by Djamarus, Djasli

    Published 2009
    “…For this kind of problem, researchers believe that it will be better to find an approximate solution that can be delivered by a stochastic algorithm than waiting for an exact solution from the deterministic algorithm. …”
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    Thesis
  2. 2

    Fast Finite Difference Time Domain Algorithms for Solving Antenna Application Problem by Hasan, Mohammad Khatim

    Published 2008
    “…Complexity reduction approach concept is used to develop these algorithms. This approach split the solution domain into 1 3 and 2 3 compartments in 1D case and 1 9 and 8 9 compartments in 2D cases. …”
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    Thesis
  3. 3

    Optimizing boarding school schedule using graph coloring: case study of Sekolah Menengah Sultan Abdul Halim / Nur Farhana Mohd Asri by Mohd Asri, Nur Farhana

    Published 2022
    “…Greedy Algorithm is used to solve the Vertex Coloring approach meanwhile Graph Coloring Algorithm is used to solve the Edge Coloring approach. …”
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    Research Reports
  4. 4

    Solving Examination Timetabling Problem using Partial Exam Assignment with Great Deluge Algorithm by Ashis Kumar, Mandal, M. N. M., Kahar

    Published 2015
    “…Constructing a quality solution for the examination timetable problem is a difficult task. …”
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  7. 7

    Ideal combination feature selection model for classification problem based on bio-inspired approach by Basir, Mohammad Aizat, Hussin, Mohamed Saifullah, Yusof, Yuhanis

    Published 2020
    “…Such a finding indicates that the exploitation of bio-inspired algorithms with ideal combination of wrapper/filtered method can contribute in finding the optimal features to be used in data mining model construction.…”
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  8. 8

    Feedforward neural network for solving particular fractional differential equations by Admon, Mohd Rashid

    Published 2024
    “…This research aims to develop a scheme based on a feedforward neural network (FNN) with a vectorized algorithm (FNNVA) for solving FDEs in the Caputo sense (FDEsC) using selected first-order optimization techniques: simple gradient descent (GD), momentum method (MM), and adaptive moment estimation method (Adam). …”
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    Thesis
  9. 9

    A study of examination timetable problem in UMP by Mohd Nizam, Mohmad Kahar, Ku Saimah, Ibrahim, Suryanti, Awang, Zalili, Musa, Rohani, Abu Bakar, Tuty Asmawaty, Abdul Kadir

    “…The proposed algorithms start with constructing the initial timetable using the graph heuristic methods. …”
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    Research Report
  10. 10

    Block Multistep Methods for Solving Ordinary Differential Equations by Ibrahim, Zarina Bibi

    Published 2006
    “…Finally, this thesis deals with parallel numerical algorithms for the solution of systems of ODEs. The constructed BBDF methods are then tested and parallelism is obtained by using a Message Passing Insterface (MPI) library run on High Performance Computer (HPC). …”
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    Thesis
  11. 11

    Family of singly diagonally implicit block backward differentiation formulas for solving stiff ordinary differential equations by Saufianim, Jana Aksah

    Published 2021
    “…Since absolute stability is a crucial characteristic for a method to be useful therefore, stability graphs of the methods derived are constructed by MAPLE programming. …”
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    Thesis
  12. 12

    Global Algorithms for Nonlinear Discrete Optimization and Discrete-Valued Optimal Control Problems by Woon, Siew Fang

    Published 2009
    “…Most practical discrete-valued optimal control problems have multiple local minima and thus require global optimization methods to generate practically useful solutions. …”
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    Thesis
  13. 13

    Gauss-Newton and L-BFGS Methods in Full Waveform Inversion (FWI) by Abdul Karim, S.A., Iqbal, M., Shafie, A., Izzatullah, M.

    Published 2021
    “…The predicted data are computed as the solution of a wave-propagation problem. In this study, we investigate two algorithms Gauss-Newton and L-BFGS for solving FWI problems. …”
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    Conference or Workshop Item
  14. 14

    Gauss-Newton and L-BFGS Methods in Full Waveform Inversion (FWI) by Abdul Karim, S.A., Iqbal, M., Shafie, A., Izzatullah, M.

    Published 2021
    “…The predicted data are computed as the solution of a wave-propagation problem. In this study, we investigate two algorithms Gauss-Newton and L-BFGS for solving FWI problems. …”
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  15. 15

    Solving ordinary differential equations using block multistep method by Mehrkanoon, Siamak

    Published 2011
    “…Unlike previous methods, the Gauss-Seidel approach is used for the implementation of the proposed method instead of Jacobi iteration. …”
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    Thesis
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    Parallel Block Methods for Solving Ordinary Differential Equations by Abdul Majid, Zanariah

    Published 2004
    “…The new codes were then used for the parallel implementation in solving large systems of first and higher order ODEs. …”
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    Thesis
  18. 18

    Fuzzy methodologies for automated University timetabling solution construction and evaluation by Asmuni, Hishammuddin

    Published 2008
    “…In response to that demand, the second area of investigation of this thesis is concerned with a new evaluation function for examination timetabling problems. A novel approach, in which fuzzy methods are used to evaluate the end solution quality, separate from the objective functions used in solution generation, represents a significant addition to the literature. …”
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    Thesis
  19. 19

    Optimal overcurrent relay coordination in wind farm using genetic algorithm by Razaei, Nima

    Published 2015
    “…Many suggestions have been made and approaches implemented, however one of the most prominent methods is the use of Genetic Algorithm (GA) to improve the function and coordination of OCRs. …”
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    Thesis
  20. 20

    Multiobjective optimization of solar-powered irrigation system with fuzzy type-2 noise modelling by Ganesan, T., Vasant, P., Elamvazuthi, I.

    Published 2016
    “…This method was then used to construct the approximate Pareto frontier as well as to identify the best solution option in a fuzzy setting. …”
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