Search Results - optimal acs algorithm*

Refine Results
  1. 1

    Optimized scheduling for an airconditioning system based on indoor thermal comfort using the multiobjective improved global particle swarm optimization by Haniff, Mohamad Fadzli, Selamat, Hazlina, Khamis, Nuraqilla, Alimin, Ahmad Jais

    Published 2018
    “…The main contribution of this paper is a new optimized AC scheduling approach that focuses on indoor thermal comfort using a new multi-objective optimization algorithm, called the improved global particle swarm optimization (IGPSO), which able to find better optimal solutions faster than its original version, the global particle swarm optimization (GPSO) algorithm. …”
    Get full text
    Get full text
    Article
  2. 2

    Ant colony optimization in dynamic environments by Chen, Fei Huang

    Published 2010
    “…Apart from the size of the optimization problem, how the swapping interval affects the dynamic optimization by the ant algorithms is also investigated. …”
    Get full text
    Get full text
    Get full text
    Thesis
  3. 3

    Forecasting of photovoltaic output using hybrid particle swarm optimization-artificial neural network model / Muhamad Faizol Adli Abdullah by Abdullah, Muhamad Faizol Adli

    Published 2010
    “…In this study, the optimization algorithm, PSO is chosen and applied in feedforward neural network to enhance the learning process. …”
    Get full text
    Get full text
    Thesis
  4. 4
  5. 5
  6. 6

    A New Near Optimal Harmonics Elimination PWM Algorithm For AC Traction Drives by Salam, Zainal, Chew, Tit Lynn

    Published 2002
    “…The paper presents an algorithm to calculate near optimal switching angles, which will permit a fast and efficient realization using a microprocessor. …”
    Get full text
    Get full text
    Get full text
    Article
  7. 7

    Embedding Malaysian House Red Ant Behavior into an Ant Colony System by Ali Othman, Zulaiha, Md Rais, Helmi, Hamdan, Abdul Razak

    Published 2008
    “…For dataset 57, DACS has reached 4.6% differences whilst ACS has reached 2.5% differences. Conclusion: Embedding a simple behavior of a single ant into ACS influences an achievement to reach an optimal distance and also can perform considerably faster compare to other ACO’s algorithms.…”
    Get full text
    Get full text
    Citation Index Journal
  8. 8
  9. 9

    Path Optimization For Cooperative Multi-Head 3d Printing by Cheong, Kah Jun

    Published 2020
    “…Therefore, to solve the LPOP, two algorithms are proposed, the modified AS algorithm and the modified ACS algorithm. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  10. 10

    Analysis of the stagnation behavior of the interacted multiple ant colonies optimization framework by Aljanaby, Alaa, Ku-Mahamud, Ku Ruhana

    Published 2011
    “…Search Stagnation is a common problem that all Ant Colony Optimization (ACO) algorithms suffer from regardless of their application domain. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  11. 11

    PI controller based genetic algorithm for PV inverter using SPWM technique / Muhammad Hafiz Dzikri Mohammad Salihhuddin by Mohammad Salihhuddin, Muhammad Hafiz Dzikri

    Published 2025
    “…This study focuses on optimizing a three-phase photovoltaic (PV) inverter system using Sinusoidal Pulse Width Modulation (SPWM) with Genetic Algorithm (GA)-optimized Proportional-Integral (PI) controllers. …”
    Get full text
    Get full text
    Thesis
  12. 12

    Interacted multiple ant colonies optimization framework: An experimental study of the evaluation and the exploration techniques to control the search stagnation by Aljanaby, Alaa, Ku-Mahamud, Ku Ruhana, Md. Norwawi, Norita

    Published 2010
    “…Search stagnation is a serius prblem that all Ant Colony Optimization (ACO) algorithms suffer from regardless of their application domain. …”
    Get full text
    Get full text
    Get full text
    Article
  13. 13

    Ant Colony Optimization for Solving Solid Waste Collection Scheduling Problems by Ismail, Zuhaimy, Loh, Ser Lee

    Published 2009
    “…But the percentage deviations of averages from the associated best cost are 0.1322 and 0.7064 for ACS and SA. The results indicated that for all demand ranges, proposed ACO algorithm showed better performance than SA algorithm. …”
    Get full text
    Get full text
    Get full text
    Article
  14. 14

    Firefly algorithm-based neural network for GCPV system output prediction: article / Nor Syakila Mohd Zainol Abidin by Mohd Zainol Abidin, Nor Syakila

    Published 2014
    “…In the proposed MLFNN, Firefly Algorithm (FA) was employed as the optimizer and search tools of the MLFNN training parameters. …”
    Get full text
    Get full text
    Article
  15. 15

    Balancing exploration and exploitation in ACS algorithms for data clustering by Jabbar, Ayad Mohammed, Sagban, Rafid, Ku-Mahamud, Ku Ruhana

    Published 2019
    “…Ant colony optimization (ACO) is a swarm algorithm inspired by different behaviors of ants. …”
    Get full text
    Get full text
    Get full text
    Article
  16. 16

    Optimal location and sizing of thyristor controlled series capacitor using particle swarm optimization technique: article / Mohd Firdaus Yasin by Yasin, Mohd Firdaus

    Published 2014
    “…The power loss in Power System could be decreased by installing Flexible AC Transmission System (FACTS) devices. This paper described the application of Particle Swarm Optimization (PSO) for optimal placement and sizing of Thyristor Controlled Series Capacitor (TCSC) to minimize the power loss in the system. …”
    Get full text
    Get full text
    Article
  17. 17

    Applying DACS3 in the Capacitated Vehicle Routing Problem by Md Rais, Helmi, Ali Othman, Zulaiha, Hamdan, Abdul Razak

    Published 2010
    “…Ant Colony System (ACS) is a well known optimization algorithm to find a good route solution for logistics and transportation industries such as Traveling Salesman Problem (TSP) or Vehicle Routing Problem (VRP), for the company maximize the efficiency and resource. …”
    Get full text
    Get full text
    Conference or Workshop Item
  18. 18

    Optimal location and sizing of thyristor controlled series capacitor using Particle Swarm Optimization technique / Mohd Firdaus Yasin by Yasin, Mohd Firdaus

    Published 2014
    “…The power loss in Power System could be decreased by installing Flexible AC Transmission System (FACTS) devices. This thesis described the application of Particle Swarm Optimization (PSO) for optimal placement and sizing of Thyristor Controlled Series Capacitor (TCSC) to minimize the power loss in the system. …”
    Get full text
    Get full text
    Thesis
  19. 19

    Parameter adaptation for ant colony system in wireless sensor network by Abdul Nasir, Husna Jamal, Ku-Mahamud, Ku Ruhana, Kamioka, Eiji

    Published 2019
    “…The Ant Colony System (ACS) algorithm has been applied in solving packet routing problems in Wireless Sensor Networks (WSNs). …”
    Get full text
    Get full text
    Get full text
    Article
  20. 20

    Determine the Optimal Diameter of Carbon Steel Pipes Around Undersea Power Cable by Lau, Alvin Kouk Shenn

    Published 2021
    “…The conclusion of this research shows that using DC and high voltage are the optimal mode of power transmission because power loss through heat energy is minimal compared to AC. …”
    Get full text
    Get full text
    Get full text
    Thesis