Search Results - (( program navigation using algorithm ) OR ( parameter optimization approach algorithm ))

Refine Results
  1. 1

    Implementation of Autonomous Vehicle Navigation Algorithms Using Event-Driven Programming by Saman, Abu Bakar Sayuti, Sebastian , Patrick, Malek, Nadhira, Hasidin, Nurul Zahidah

    Published 2012
    “…By using FSM to describe the behaviour of a navigating mobile robot, an equivalent algorithm can be developed. …”
    Get full text
    Get full text
    Conference or Workshop Item
  2. 2

    MAZE ROBOT: APPLYING AUTONOMOUS VEHICLE NAVIGATION ALGORITHM WITH EVENT-DRIVEN PROGRAMMING by ABDUL MALEK, NADHIRA

    Published 2011
    “…Event-driven programming method was applied in producing the maze navigation algorithm for the robot.…”
    Get full text
    Get full text
    Final Year Project
  3. 3

    Implementation of autonomous vehicle navigation algorithms using event-driven programming by Saman, Abu Bakar Sayuti, Sebastian , Patrick, Malek, Nadhira, Hasidin, Nurul Zahidah

    Published 2012
    “…By using FSM to describe the behaviour of a navigating mobile robot, an equivalent algorithm can be developed. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  4. 4

    Vision-based robot indoor navigation by Teo, Zhin Hang

    Published 2022
    “…This project aims to develop a vision-based navigation robot using OpenCV and C++ programming language in an indoor environment. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  5. 5

    Implementation of an autonomous mobile robot navigation algorithm using C language by Subra Mullisi, Shafeq Marwan

    Published 2009
    “…After that, implement the navigation algorithm on the mobile robot and without using the external sensor for navigation of the mobile robot to reach the specified point. …”
    Get full text
    Get full text
    Final Year Project
  6. 6
  7. 7

    PROPOSED METHODOLOGY FOR OPTIMIZING THE TRAINING PARAMETERS OF A MULTILAYER FEED-FORWARD ARTIFICIAL NEURAL NETWORKS USING A GENETIC ALGORITHM by ABDALLA, OSMAN AHMED

    Published 2011
    “…To overcome these limitations, there have been attempts to use genetic algorithm (GA) to optimize some of these parameters. …”
    Get full text
    Get full text
    Thesis
  8. 8

    Design Of Robot Motion Planning Algorithm For Wall Following Robot by Ali Hassan, Muhamad Khairul

    Published 2006
    “…Algorithms are developed for a simulated mobile robot that uses an array of range finders for navigation. …”
    Get full text
    Get full text
    Monograph
  9. 9

    Indoor Navigation Algorithm For Mobile Robot by Y.M. Alkasim, Osman Mudthir Elfadil, Abass, Esra Bashir

    Published 2016
    “…Set of experiments presented to validate our system using MATLAB program. Testing verified that good accuracy, sufficient for navigation, was achieved. …”
    Get full text
    Get full text
    Book Section
  10. 10

    Application of conjugate gradient approach for nonlinear optimal control problem with model-reality differences by Leong, Wah June, Sie, Long Kek, Teo, Kok Lay, Sim, Sy Yi

    Published 2018
    “…In our approach, the linear quadratic optimal control model, which is adding the adjusted parameters into the model used, is employed. …”
    Get full text
    Get full text
    Get full text
    Article
  11. 11

    Application of conjugate gradient approach for nonlinear optimal control problem with model-reality difference by Sie, Long Kek, Wah, June Leong, Sy, Yi Sim, Kok, Lay Teo

    Published 2018
    “…In our approach, the linear quadratic optimal control model, which is adding the adjusted parameters into the model used, is employed. …”
    Get full text
    Get full text
    Get full text
    Article
  12. 12

    Machining optimization using Firefly Algorithm / Farhan Md Jasni by Md Jasni, Farhan

    Published 2020
    “…Based on the previous research on the success of Firefly Algorithm, this approach will be able to optimize the machining parameter of milling operation. …”
    Get full text
    Get full text
    Student Project
  13. 13

    Hybrid ACO and SVM algorithm for pattern classification by Alwan, Hiba Basim

    Published 2013
    “…Ant Colony Optimization (ACO) is a metaheuristic algorithm that can be used to solve a variety of combinatorial optimization problems. …”
    Get full text
    Get full text
    Get full text
    Thesis
  14. 14

    Characterization of PV panel and global optimization of its model parameters using genetic algorithm by Ismail M.S., Moghavvemi M., Mahlia T.M.I.

    Published 2023
    “…This paper details an improved modeling technique for a photovoltaic (PV) module; utilizing the optimization ability of a genetic algorithm, with different parameters of the PV module being computed via this approach. …”
    Article
  15. 15

    Comparative analysis of three approaches of antecedent part generation for an IT2 TSK FLS by Hassan, S., Khanesar, M.A., Jaafar, J., Khosravi, A.

    Published 2017
    “…In this paper, heuristic optimization approaches such as genetic algorithm and artificial bee colony are used to optimize the parameters of the antecedent part of interval type-2 fuzzy logic systems. …”
    Get full text
    Get full text
    Article
  16. 16
  17. 17

    Enhanced segment particle swarm optimization for large-scale kinetic parameter estimation of escherichia coli network model by Mohammed Adam, Kunna Azrag

    Published 2021
    “…However, the large-scale kinetic parameters estimation using optimization algorithms is still not applied to the main metabolic pathway of the E. coli model, and they’re a lack of accuracy result been reported for current parameters estimation using this approach. …”
    Get full text
    Get full text
    Thesis
  18. 18
  19. 19

    Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems by Kek, Sie Long

    Published 2011
    “…The values of these adjustable parameters are updated repeatedly. In this way, the optimal solution of the model will approach to the true optimum of the original optimal control problem. …”
    Get full text
    Get full text
    Thesis
  20. 20