Search Results - optimal ((system algorithm) OR (growth algorithm))*

Refine Results
  1. 1

    Optimization of mycelium growth using genetic algorithm for multi-objective functions by Muhamad Faiz, Abu Bakar

    Published 2019
    “…Optimization of mycelium growth is a process that are aim to get the optimal value for growing mushroom. …”
    Get full text
    Get full text
    Get full text
    Undergraduates Project Papers
  2. 2

    Tree physiology optimization on SISO and MIMO PID control tuning by Halim, A.H., Ismail, I.

    Published 2018
    “…TPO is a metaheuristic algorithm inspired from a plant growth system derived based on the idea of plant architecture and Thornley model (TM). …”
    Get full text
    Get full text
    Article
  3. 3

    Tree physiology optimization on SISO and MIMO PID control tuning by Halim, A.H., Ismail, I.

    Published 2018
    “…TPO is a metaheuristic algorithm inspired from a plant growth system derived based on the idea of plant architecture and Thornley model (TM). …”
    Get full text
    Get full text
    Article
  4. 4

    Optimal power flow based on fuzzy linear programming and modified Jaya algorithms by Alzihaymee, Warid Sayel Warid

    Published 2017
    “…Finally, two novel hybrid optimization algorithms namely, FLP-QOJaya algorithm for single objective OPF problems and MFLP-QOMJaya algorithm for MOOPF problems are proposed. …”
    Get full text
    Get full text
    Thesis
  5. 5

    Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection by Tubishat, Mohammad, Idris, Norisma, Shuib, Liyana, Abushariah, Mohammad A.M., Mirjalili, Seyedali

    Published 2020
    “…In addition, ISSA was compared with four well-known optimization algorithms such as Genetic Algorithm, Particle Swarm Optimization, Grasshopper Optimization Algorithm, and Ant Lion Optimizer. …”
    Get full text
    Get full text
    Article
  6. 6

    Integrated Optimization Algorithm in Solving Economic Dispatch Problems by Ismail N.L., Musirin I., Dahlan N.Y., Mansor M.H., Sentilkumar A.V.

    Published 2024
    “…The proposed algorithm has been compared with the existing techniques, Multi-objective Barnacles Mating Optimizer and Multi-objective Evolutionary Programming. …”
    Conference Paper
  7. 7
  8. 8

    Optimal sizing and location of distributed generation for power loss minimization using bee colony algorithm by Mohamad Zunnurain Fauzi

    Published 2023
    “…The ABC algorithm method has been implemented into the test system of IEEE 33 bus system which is showed in 3 cases. …”
    text::Final Year Project
  9. 9

    Single and Multiple variables control using Tree Physiology Optimization by Halim, A.H., Ismail, I.

    Published 2017
    “…This paper presents the tuning of single-input single-output (SISO), and multiple-input multiple-output (MIMO) control system using Tree Physiology Optimization (TPO). TPO is a metaheuristic optimization algorithm that has a clustered diversification search strategy inspired from plant shoots growth. …”
    Get full text
    Get full text
    Article
  10. 10
  11. 11
  12. 12

    Optimization of distributed generation using mix-integer optimization by genetic algorithm (MIOGA) Considering Load Growth by Che Muhamad Asad Safwan, Che Aziz, Norhafidzah, Mohd Saad, Mohammad Fadhil, Abas, Suliana, Ab Ghani, Ali, Abid

    Published 2022
    “…The results indicate that load growth has no effect on the optimal position, and only the optimal size of the DG unit is changed. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  13. 13

    Optimal allocation and sizing of capacitor bank and distributed generation using particle swarm optimization by El Tawil, Naji Ammar Mansour

    Published 2021
    “…In order to validate the functionality of the proposed PSO algorithm, the IEEE 14–bus and 30–bus systems were used as test systems. …”
    Get full text
    Get full text
    Get full text
    Thesis
  14. 14

    A novel softsign fractional-order controller optimized by an intelligent nature-inspired algorithm for magnetic levitation control by Ahmad, Mohd Ashraf, Izci, Davut, Ekinci, Serdar, Mohd Tumari, Mohd Zaidi

    Published 2025
    “…The performance of the proposed approach was extensively benchmarked against four modern metaheuristic algorithms (greater cane rat algorithm, catch fish optimization algorithm, RIME algorithm and artificial hummingbird algorithm) under identical conditions. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  15. 15

    Optimization of Distributed Generation Using Mix-Integer Optimization by Genetic Algorithm (MIOGA) Considering Load Growth by Safwan, C.M.A., Mohd Saad, N., Abas, M.F., Ab-Ghani, S., Ali, A.

    Published 2022
    “…The results indicate that load growth has no effect on the optimal position, and only the optimal size of the DG unit is changed. …”
    Get full text
    Get full text
    Article
  16. 16

    Optimization of Distributed Generation Using Mix-Integer Optimization by Genetic Algorithm (MIOGA) Considering Load Growth by Safwan, C.M.A., Mohd Saad, N., Abas, M.F., Ab-Ghani, S., Ali, A.

    Published 2022
    “…The results indicate that load growth has no effect on the optimal position, and only the optimal size of the DG unit is changed. …”
    Get full text
    Get full text
    Article
  17. 17

    IOT-based fertigation system / Mohamad Amir Furqan Darus by Darus, Mohamad Amir Furqan

    Published 2024
    “…Decision-making algorithms consider factors such as plant type, growth stage, soil composition, and environmental conditions. …”
    Get full text
    Get full text
    Student Project
  18. 18
  19. 19

    An enhanced discrete symbiotic organism search algorithm for optimal task scheduling in the cloud by Sa’ad, Suleiman, Muhammed, Abdullah, Abdullahi, Mohammed, Abdullah, Azizol, Ayob, Fahrul Hakim

    Published 2021
    “…Therefore, in this paper, we propose a metaheuristic enhanced discrete symbiotic organism search (eDSOS) algorithm for optimal task scheduling in the cloud computing setting. …”
    Get full text
    Get full text
    Article
  20. 20