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  1. 1
    The Development Of A Robust Algorithm For Uav Path Planning In 3d Environment

    The Development Of A Robust Algorithm For Uav Path Planning In 3d Environment by Kok, Kai Yit

    Published 2016
    “…Significant research has been conducted on Unmanned Aerial Vehicle (UAV) path planning using evolutionary algorithms, such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Differential Evolution (DE), and Biogeographic-Based Optimization (BBO). …”
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  2. 2
    Development of an improved GWO algorithm for solving optimal paths in complex vertical farms with multi-robot multi-tasking

    Development of an improved GWO algorithm for solving optimal paths in complex vertical farms with multi-robot multi-tasking by Shen, Jiazheng, Hong, Tang Sai, Fan, Luxin, Zhao, Ruixin, Mohd Ariffin, Mohd Khairol Anuar, As’arry, Azizan

    Published 2024
    “…The EPDE-GWO algorithm is compared with Genetic Algorithm (GA), Simulated Annealing (SA), Dung Beetle Optimizer (DBO), and Particle Swarm Optimization (PSO). …”
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  3. 3
    Path optimization using genetic algorithm evolution

    Path optimization using genetic algorithm evolution by Low C.Y., Chong K.H., Salleh K., Johnny K.S.P.

    Published 2023
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  4. 4
    Finding minimum path by using Genetic Algorithm (GA)/ Siti Zuraifah Hashim

    Finding minimum path by using Genetic Algorithm (GA)/ Siti Zuraifah Hashim by Hashim, Siti Zuraifah

    Published 2007
    “…Roadways and telephone systems are the examples of them. Genetic Algorithms (GA), pioneered by John Holland, applies the principle of evolution found in nature to the problem of finding an optimal solution. …”
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  5. 5
    Differential evolution optimization for constrained routing in Wireless Mesh Networks

    Differential evolution optimization for constrained routing in Wireless Mesh Networks by Sanni, Mistura Laide, Hassan Abdalla Hashim, Aisha, Hassan, Wan Haslina, Ahmed, Gharib Subhi Mahmoud, Anwar, Farhat, Zakaria, Omar

    Published 2014
    “…This solution addresses efficient and optimal routing path construction for cost and quality metrics of the application. …”
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  6. 6
    Literature Review of Optimization Techniques for Chatter Suppression In Machining

    Literature Review of Optimization Techniques for Chatter Suppression In Machining by A. R., Yusoff, Mohamed Reza Zalani, Mohamed Suffian, Mohd Yusof, Taib

    Published 2011
    “…Various algorithms can be applied in the optimization of machining problems; however, Differential Evolution is the most appropriate for use in chatter suppression, being less time consuming, locally optimal, and more robust than both Genetic Algorithms, despite their wide applications, and Sequential Quadratic Programming, which is a famous conventional algorithm.…”
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  7. 7
    Comparative analysis of spiral dynamic algorithm and artificial bee colony optimization for position control of flexible link manipulators

    Comparative analysis of spiral dynamic algorithm and artificial bee colony optimization for position control of flexible link manipulators by Nor Maniha, Abdul Ghani, Nizaruddin, M. Nasir, Azrul Azim, Abdullah Hashim

    Published 2024
    “…By integrating the ABC algorithm into the manipulator's control system, the goal is to enhance its ability to plan paths and optimize trajectories. …”
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  8. 8
    Cryptographic Algorithm Using Matrix Inversion as Data Protection

    Cryptographic Algorithm Using Matrix Inversion as Data Protection by Zirra, Peter B., Wajiga, G.M.

    Published 2011
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  9. 9
    Solving transcendental equation using genetic algorithm / Masitah Hambari

    Solving transcendental equation using genetic algorithm / Masitah Hambari by Masitah , Hambari

    Published 2004
    “…Genetic Algorithm is used to find the roots or set of optimal solution that satisfy the equation. …”
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  10. 10
    Solving Large System Of Linear Equation Using Iterative Methods (Successive Over-Relaxation, Conjugate Gradient And Preconditioned Conjugate Gradient) / Nurhanani Abu Bakar

    Solving Large System Of Linear Equation Using Iterative Methods (Successive Over-Relaxation, Conjugate Gradient And Preconditioned Conjugate Gradient) / Nurhanani Abu Bakar by Abu Bakar, Nurhanani

    Published 2017
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  11. 11
    Comparative study of optimization method for solving large system of linear equation / Fatin Amani Mohd Ali

    Comparative study of optimization method for solving large system of linear equation / Fatin Amani Mohd Ali by Mohd Ali, Fatin Amani

    Published 2017
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  12. 12
    Genetic algorithm techniques for the design of nonlinear microwave circuits

    Genetic algorithm techniques for the design of nonlinear microwave circuits by Arsat, Rashidah

    Published 2004
    “…By using Sample Balance's differential of current linear and nonlinear equation as an objective function, a Genetic Algorithm routine then been constructed. …”
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  13. 13
    Solving large systems of linear equations using iterative methods (Jacobi-Davidson, Gauss-Seidel and Successive Over-Relaxation) / Fatini Dalili Mohammed

    Solving large systems of linear equations using iterative methods (Jacobi-Davidson, Gauss-Seidel and Successive Over-Relaxation) / Fatini Dalili Mohammed by Mohammed, Fatini Dalili

    Published 2017
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  14. 14
    Application of refinement successive over-relaxation (RSOR) in solving the piecewise polynomial on fredholm integral equation of the second type

    Application of refinement successive over-relaxation (RSOR) in solving the piecewise polynomial on fredholm integral equation of the second type by Nor Syahida Mohamad, Jumat Sulaiman, Azali Saudi, Nur Farah Azira Zainal

    Published 2023
    “…Accordingly, we built a system of CT linear collocation approximation equations using collocation node points over the approximation equation for linear collocation. …”
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  15. 15
    Algorithm solution for space-fractional diffusion equations

    Algorithm solution for space-fractional diffusion equations by Agus Sunarto, Jumat Sulaiman

    Published 2020
    “…By using the Caputo's finite difference approximation equation, a linear system will be generated and solved iteratively. …”
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  16. 16
    Hybrid genetic algorithm with multi-parents recombination for job shop scheduling problems / Ong Chung Sin

    Hybrid genetic algorithm with multi-parents recombination for job shop scheduling problems / Ong Chung Sin by Ong, Chung Sin

    Published 2013
    “…This mechanism is restricted to search the possible solutions in a critical path. Modification on the path by using neighborhood search significantly reduces the total length of the makespan. …”
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  17. 17
    Numerical solutions of linear fredholm integro-differential equations of the second kind using quadrature-difference methods

    Numerical solutions of linear fredholm integro-differential equations of the second kind using quadrature-difference methods by Jalius, Chriscella

    Published 2016
    “…The system of linear algebraic equation will be solved by using Gauss elimination method. …”
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  18. 18
    Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms

    Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms by Ridha, Hussein Mohammed

    Published 2020
    “…The IEM algorithm uses the attraction-repulsion mechanism to change the positions of solutions towards the optimality. …”
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  19. 19
    EMAPlus-optimized adaptive convergence prescribed performance control for high-precision steering of rack steering vehicles

    EMAPlus-optimized adaptive convergence prescribed performance control for high-precision steering of rack steering vehicles by Addie Irawan, Hashim, Norsharimie, Mat Adam, Mohd Iskandar Putra, Azahar, Mohd Zamri, Ibrahim, Mohd Herwan, Sulaiman

    Published 2026
    “…EMAPlus is employed to jointly tune the ACPPC and AW-PI parameters, enabling fast, stable, and computationally efficient optimization compared with the original Evolutionary Mating Algorithm (EMA), Ant Lion Optimizer (ALO), and Grasshopper Optimization Algorithm (GOA). …”
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  20. 20
    Weather prediction in Kota Kinabalu using linear regressions with multiple variables

    Weather prediction in Kota Kinabalu using linear regressions with multiple variables by Teong, Khan Vun, Chung, Gwo Chin, Jedol Dayou

    Published 2021
    “…This study employs machine learning algorithms, a linear regression model using statistics, and two optimization approaches, the normal equation approach, and gradient descent approach to predict the weather based on a few variables. …”
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