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  1. 1

    Application of genetic algorithm methods to optimize flowshop sequencing problem by Mohd Fadil, Md Sairi

    Published 2008
    “…Genetic algorithm method was one of the methods that were widely used in solving optimization problem. …”
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    Undergraduates Project Papers
  2. 2

    Iterative methods for solving split common fixed point problems in Hilbert spaces by Mohammed, Lawan Bulama

    Published 2016
    “…We also suggest some iterative methods for solving the split common fixed point problems for the class of total quasi asymptotically nonexpansive mappings and prove the convergence results of the proposed algorithms. …”
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    Thesis
  3. 3

    Shuffled frog leaping algorithm for solving economic load dispatch problem / Mohammad Ariffin Aizat Ezanee by Ezanee, Mohammad Ariffin Aizat

    Published 2015
    “…Shuffled Frog Leaping Algorithm (SFLA) is proposed to solve Economic Load Dispatch (ELD) problem. …”
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    Thesis
  4. 4
  5. 5

    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

    Published 2019
    “…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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    Thesis
  6. 6

    Application of ant colony optimisation algorithms in solving facility layout problems formulated as quadratic assignment problems: a review by See, Phen Chiak, Wong, Kuan Yew

    Published 2008
    “…The main reason is that, QAPs provide possibilities to solve FLPs computationally. To date, there are two common approaches used to solve FLPs formulated as QAPs, that is, exact methods and approximate methods (also known as heuristics). …”
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    Article
  7. 7

    A discrete simulated kalman filter optimizer for combinatorial optimization problems by Suhazri Amrin, Rahmad

    Published 2022
    “…Due to the practical significance of this problem in real-world issues, numerous algorithms have been proposed to solve it. …”
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    Thesis
  8. 8

    Performance evaluation of heuristic methods in solving symmetric travelling salesman problems by Lim, Yai-Fung, Hong, Pei Yee, Ramli, Razamin, Khalid, Ruzelan, Baten, Md Azizul

    Published 2016
    “…The algorithms proposed in this study should be considered in solving symmetric travelling salesman problems.…”
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    Article
  9. 9

    A Method For Solving Mult-Objective Optimization Problem: Vector Evaluated Genetic Algorithm (Vega) by Tan, Tun Tai

    Published 2009
    “…Genetic Algorithms (GAs) are a powerful stochastic search in solving optimization problems. …”
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    Final Year Project Report / IMRAD
  10. 10

    Shooting method with root finding to solve boundary value problems / Aryani Rima Matakim by Matakim, Aryani Rima

    Published 2025
    “…The shooting method is an effective numerical approach for solving boundary value problems (BVPs) by converting it into initial value problems (IVPs). …”
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    Thesis
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  12. 12

    Bats echolocation-inspired algorithms for global optimisation problems by Nafrizuan, Mat Yahya

    Published 2016
    “…An adaptive bats sonar algorithm is proposed for solving single objective optimisation problems. …”
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    Thesis
  13. 13

    Solving economic load dispatch problem using genetic algorithm method / Norliza Kamarulzaman by Kamarulzaman, Norliza

    Published 2009
    “…In this study, Genetic Algorithm method is used to overcome this problem. …”
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    Thesis
  14. 14

    Artificial bee colony algorithm for solving optimal power flow problem by Le Dinh, L., Vo Ngoc, D., Vasant, P.

    Published 2013
    “…Therefore, the proposed ABC algorithm can be a favorable method for solving the OPF problem. …”
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    Article
  15. 15

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

    Published 2008
    “…Existing method, known as FDTD needs a very long processing time to solve this problem. …”
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    Thesis
  16. 16

    Improved stochastic gradient descent algorithm with mean-gradient adaptive stepsize for solving large-scale optimization problems by Zulkifli, Munierah, Abd Rahmin, Nor Aliza, Wah, June Leong

    Published 2023
    “…Stochastic gradient descent (SGD) is one of the most common algorithms used in solving large unconstrained optimization problems. …”
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    Article
  17. 17

    Comparison of Some Numerical Methods for Solving Real-Life Nonlinear Equations by Using Python Programming / Annie Gorgey ... [et al.] by Gorgey, Annie, Zulkifly, Zul Hafiezy, Hassim, Haslinah, Azim, Farah Adilla

    Published 2024
    “…The bisection method converges quickly compared with other methods for solving Planck’s radiation law, while Algorithm 1 converges quicker than other methods for solving the beam design problem. …”
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    Article
  18. 18

    A Modified Bats Echolocation-Based Algorithm for Solving Constrained Optimisation Problems by N. M., Yahya, Tokhi, M. O.

    Published 2017
    “…The proposed algorithm is applied to solve the constrained optimisation problems coupled with penalty function method as constraint handling technique. …”
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    Article
  19. 19

    The algorithms of Broyden-CG for unconstrained optimization problems by Mustafa, Mamat, Mohd Asrul Hery, Ibrahim, Leong Wah, June

    Published 2014
    “…The conjugate gradient method plays an important role in solving large-scaled problems and the quasi-Newton method is known as the most efficient method in solving unconstrained optimization problems. …”
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    Article
  20. 20

    Application of shuffled frog leaping algorithm for economic dispatch with multiple fuel options / Muhammad Akif Abu Bakar by Abu Bakar, Muhammad Akif

    Published 2016
    “…The proposed method in solving economic dispatch problem combines the evolutionary algorithm with analytical approach is capable in performing much better in directing the search towards the optimal region. …”
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    Thesis