Search Results - (( programming problem function algorithm ) OR ( based application optimisation algorithm ))

Refine Results
  1. 1

    Hybrid evolutionarybarnacles mating optimisation-artificial neural network based technique for solving economic power dispatch planning and operation / Nor Laili Ismail by Ismail, Nor Laili

    Published 2024
    “…In this study, a new optimisation algorithm termed Hybrid Evolutionary-Barnacles Mating Optimisation (HEBMO) was initially formulated to solve optimisation problems. …”
    Get full text
    Get full text
    Thesis
  2. 2

    Investigating The Performance Of Metaheuristics To Optimize The Revenue Of Semiconductor Supply Chain by Roslee, Muhammad Sharifuddin

    Published 2022
    “…Below is the comparison of the fitness value among 20 metaheuristics algorithms run through Python programming.…”
    Get full text
    Get full text
    Monograph
  3. 3

    Implementing Station-to-Station protocol using Multi Prime RSA Cryptosystem / Muhammad Arif Musa Abdullah by Abdullah, Muhammad Arif Musa

    Published 2023
    “…The study recommends to use another type of digital signature algorithm to be used in the proposed method. Another recommendation is to modify and optimise the python coding in the study to be more robust and suitable for real world application.…”
    Get full text
    Get full text
    Student Project
  4. 4
  5. 5
  6. 6

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

    Published 2016
    “…The works related to swarm intelligence algorithms include the development of the algorithm itself, its modification and improvisation as well as its application in solving global optimisation problems. …”
    Get full text
    Get full text
    Thesis
  7. 7
  8. 8
  9. 9
  10. 10
  11. 11
  12. 12
  13. 13

    Analytical Approach for Linear Programming Using Barrier and Penalty Function Methods by Moengin, Parwadi

    Published 2003
    “…None of these methods used Lagrangian function as a tool to solve the problem. This raises a question why are we not using this to solve the linear programming problems. …”
    Get full text
    Get full text
    Thesis
  14. 14

    Some metaheuristic algorithms for solving multiple cross-functional team selection problems by Ngo, S.T., Jaafar, J., Izzatdin, A.A., Tong, G.T., Bui, A.N.

    Published 2022
    “…We introduced a method that combines a compromise programming (CP) approach and metaheuristic algorithms, including the genetic algorithm (GA) and ant colony optimization (ACO), to solve the proposed optimization problem. …”
    Get full text
    Get full text
    Article
  15. 15

    On network flow problems with convex cost by Nguyen, V.A., Tan, Y. P.

    Published 2004
    “…To address this problem, we derive the optimality conditions for minimising convex and differentiable cost functions, and devise an algorithm based on the primal-dual algorithm commonly used in linear programming. …”
    Get full text
    Get full text
    Get full text
    Article
  16. 16

    System program management environment in cloud computing using hybrid Genetic Algorithm and Moth Flame Optimization (GA-MFO) by Mohd Erwan Mazalan

    Published 2022
    “…The minimization of system execution and transfer time in the proposed algorithm are considered as objective functions. The experimental testing of the proposed algorithm are considered as objective functions. …”
    Get full text
    Get full text
    Get full text
    Academic Exercise
  17. 17
  18. 18
  19. 19

    A combined filter line search and trust region method for nonlinear programming by Chin, Choong Ming, Halim, Abdul, Rashid, A. H. A., Nor, K. M.

    Published 2006
    “…A framework for solving a class of nonlinear programming problems via the filter method is presented. …”
    Get full text
    Article
  20. 20