Search Results - (( program implementation plan algorithm ) OR ( using optimization method algorithm ))

Refine Results
  1. 1

    Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms by Koh, Johnny Siaw Paw

    Published 2008
    “…Also, this research involves in developing a machine-learning system and program via genetic algorithm that is capable of performing independent learning capability and optimization for scanning sequence using novel GA operators. …”
    Get full text
    Get full text
    Thesis
  2. 2

    Design, development and performance optimization of a new artificial intelligent controlled multiple-beam optical scanning module by Koh J.S.P., Aris I.B., Ramachandaramurthy V.K., Bashi S.M., Marhaban M.H.

    Published 2023
    “…The representation approach has been implemented via a computer program in order to achieve optimized marking performance. …”
    Article
  3. 3

    Design, development and performance optimization of a new artificial intelligent controlled multiple-beam optical scanning module by Koh J.S.P., Aris I.B., Ramachandaramurthy V.K., Bashi S.M., Marhaban M.H.

    Published 2023
    “…The representation approach has been implemented via a computer program in order to achieve optimized marking performance. …”
    Article
  4. 4

    Comprehensive power restoration approach using rule-based method for 11kV distribution network by Khalid A.R., Ahmad S.M.S., Shakil A., Pa N.N., Shafie R.M.

    Published 2023
    “…The algorithm is computationally programmed to provide multiple solutions and to recommend the best option of switching for a dispatcher. …”
    Conference Paper
  5. 5

    Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems by Uvaraja, Vikneswary

    Published 2018
    “…This thesis studies multiobjective UTSP consisting of frequency setting, timetabling, simultaneous bus and driver scheduling by applying Multiple Tabu Search (MTS) algorithm. Metaheuristic methods have been widely applied to solve UTSP which is a NP-hard problem. …”
    Get full text
    Get full text
    Thesis
  6. 6
  7. 7

    A comprehensive power restoration approach using rule-based method for 11kV distribution network by Khalid, Abd Rahman, Syed Ahmad Abdul Rahman, Sharifah Mumtazah, Shakil, Asma, Nik Pa, Nawar, Mohd Shafie, Roslin

    Published 2008
    “…The algorithm is computationally programmed to provide multiple solutions and to recommend the best option of switching for a dispatcher. …”
    Get full text
    Get full text
    Conference or Workshop Item
  8. 8

    Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game by Chang, Kee Tong

    Published 2015
    “…After that, a bi-objectives algorithm is tested for comparing purposes and this contributed for the next two sub-objectives that is 3) to test the feasibility for implementing the PDE hybrid FFNN. 4) to compare single objective and multi-objective optimization algorithms performances. …”
    Get full text
    Get full text
    Get full text
    Thesis
  9. 9

    Petroleum Refinery Planning Under Uncertainty: A Multiobjective Optimization Approach with Economic and Operational Risk Management by Van Fu Shen, Fu Shen

    Published 2009
    “…In this work, we have attempted to solve model formulation concerning the petroleum refinery planning under uncertainty. We use stochastic programming optimization incorporating the weighted sum method as well as the epsilon constraint method to solve the model formulation of the petroleum refinery planning under uncertainty. …”
    Get full text
    Get full text
    Final Year Project
  10. 10

    Petroleum Refinery Planning Under Uncertainty: A Multiobjective Optimization Approach with Economic and Operational Risk Management by Van, Fu Shen

    Published 2009
    “…In this work, we have attempted to solve model formulation concerning the petroleum refinery planning under uncertainty. We use stochastic programming optimization incorporating the weighted sum method as well as the epsilon constraint method to solve the model formulation ofthe petroleum refinery planning under uncertainty. …”
    Get full text
    Get full text
    Final Year Project
  11. 11

    Restoration planning strategy of transmission system based on optimal energizing time of sectionalizing islands / Dian Najihah Abu Talib by Dian Najihah , Abu Talib

    Published 2019
    “…There are two discrete optimization techniques used in this work, which are the Artificial Bee Colony algorithm and Evolutionary Programming. …”
    Get full text
    Get full text
    Get full text
    Thesis
  12. 12

    Using genetic algorithms to optimise land use suitability by Pormanafi, Saeid

    Published 2012
    “…The third objective is to optimize the land use map using economic benefits. …”
    Get full text
    Get full text
    Thesis
  13. 13
  14. 14

    Environmentally constraint economic dispatch and reactive power planning for ensuring secure operation in power system / Elia Erwani Hassan by Hassan, Elia Erwani

    Published 2015
    “…The comprehensive analyses were also conducted between two other familiar optimization methods known as original Bacterial Foraging Optimization (BFO) algorithm and Meta heuristic Evolutionary Programming (Meta-EP). …”
    Get full text
    Get full text
    Thesis
  15. 15

    Modelling knowledge transfer of nursing students during clinical placement / Nor Azairiah Fatimah Othman by Othman, Nor Azairiah Fatimah

    Published 2017
    “…The application of the proposed algorithm has been justified as the most accurate with lower computation time as compared to other optimization techniques such as evolutionary programming (EP) and artificial immune system (AIS). …”
    Get full text
    Get full text
    Book Section
  16. 16

    Dynamic investment model for the restructed power market in the presence of wind source by Esfahani, Mohammad Tolou Askari Sedehi

    Published 2014
    “…In the third step, the long term optimal investment strategies of the hybrid wind-thermal investor are determined based on the dynamic programming algorithm by considering the long term states of demand growth and fuel price uncertainties. …”
    Get full text
    Get full text
    Thesis
  17. 17

    Vision-based robot indoor navigation by Teo, Zhin Hang

    Published 2022
    “…An algorithm is developed in the computer to achieve image processing, user input, path planning, simulation, and writing of output files. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  18. 18

    Development of dynamic programming algorithm for maintenance scheduling problem by Zafira Adlia, Mohd Fauzi

    Published 2020
    “…Then, the data of the maintenance team from one of the utilities provider company in Malaysia was collected to be implemented in the development of a dynamic programming algorithm. …”
    Get full text
    Get full text
    Thesis
  19. 19

    MOTION PLANNING ALGORITHM FOR VEHICLE PARKING SIMULATION by Mohd Hilmi, Amirul Ehsan

    Published 2008
    “…This project focuses on creation of the motion planning algorithm of the system and developing a simulation to simulate the vehicle movements. …”
    Get full text
    Get full text
    Final Year Project
  20. 20

    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. …”
    Get full text
    Get full text
    Undergraduates Project Papers