Search Results - (( developing reduction ant algorithm ) OR ( java implication based algorithm ))

  • Showing 1 - 16 results of 16
Refine Results
  1. 1

    Optimizing capacitated electric vehicle route in logistic operations by Tiong, Samuel Fu Wei

    Published 2024
    “…This project aims to develop an efficient route optimization algorithm for Capacitated Electric Vehicles (CEVs) in logistics, focusing on minimizing travel distance while adhering to vehicle capacity and battery limitations. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  2. 2

    Proportional integral derivative controller based on ant colony optimization for vibration cancellation of horizontal flexible plate structure by Muhammad Izzuddin Akmal, Zamri, Muhamad Sukri, Hadi, Aida Nur Syafiqah, Shaari, Nadzirah, Mohd Mokhtar

    Published 2022
    “…This study introduces the modelling of a flexible plate structure based on a system identification technique known as ant colony optimization (ACO) algorithm for vibration control. …”
    Get full text
    Get full text
    Get full text
    Article
  3. 3

    Efficient Sequential and Parallel Routing Algorithms in Optical Multistage Interconnection Network by Abduh Kaid, Monir Abdullah

    Published 2005
    “…Reduction of the execution time of the algorithm in sequential platform, led to a massive improvement of the algorithm speed. …”
    Get full text
    Get full text
    Thesis
  4. 4

    Fruit-Fly Based Searching Algorithm For Cooperative Swarming Robotic System by Abidin, Zulkifli Zainal

    Published 2013
    “…In this thesis, a simple framework and methodology in developing a bio-inspired algorithm for cooperative swarming robotic application has been developed. …”
    Get full text
    Get full text
    Thesis
  5. 5

    Hybridization of nonlinear sine cosine and safe experimentation dynamics algorithms for solving control engineering optimization problems by Mohd Helmi, Suid

    Published 2024
    “…The empirical assessment of these proposed methods encompasses a diverse set of 23 benchmark functions, demonstrating their efficacy comparable to well-established metaheuristic algorithms such as as the Grey Wolf Optimizer (GWO), Multi-Verse Optimization (MVO), Sine Cosine Algorithm (SCA), Ant Lion Optimizer (ALO), Moth-Flame Optimization Algorithm (MFO), and Grasshopper Optimization Algorithm (GOA). …”
    Get full text
    Get full text
    Thesis
  6. 6

    Optimization in active vibration control: virtual experimentation using COMSOL multiphysics - MATLAB integration by Md Nor, Khairul Affendy, Abdul Muthalif, Asan Gani, Wahid, Azni N.

    Published 2014
    “…This paper demonstrates optimization of collocated sensor-actuator location and the controller gains of active vibration control system. Ant colony optimization algorithm is employed for this purpose. …”
    Get full text
    Get full text
    Get full text
    Proceeding Paper
  7. 7
  8. 8
  9. 9

    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
  10. 10

    Sequence and sequence-less t-way test suite generation strategy based on the elitist flower pollination algorithm by Mohammed Abdullah, Abdullah Nasser

    Published 2018
    “…In line with the emerging field called Search based Software Engineering, many recently developed t-way strategies have adopted meta-heuristic algorithms as the basis of their implementations such as Simulated Annealing, Genetic Algorithm, Ant Colony Optimization Algorithm, Particle Swarm Optimization, Harmony Search and Cuckoo Search, owing their superior performance in term of test size reduction as compared to general computational based strategies, such as General t-way, Test Vector Generator, In Parameter Order General, Jenny, and Automatic Efficient Test Generator. …”
    Get full text
    Get full text
    Thesis
  11. 11
  12. 12

    Minimization of tool path length of drilling process using particle swarm optimization (PSO) by Abdullah, Haslina, Zaman, Nizam Nurehsan, Talib, Norfazillah, Lee, Woon Kiow, Saleh, Aslinda, Zakaria, Mohamad Shukri

    Published 2020
    “…Therefore, in this study, the Particle Swarm Optimization (PSO) algorithm was develop in order to minimizing the tool path length in the drilling process which can produce the better results for the required machining time process. …”
    Get full text
    Get full text
    Book Section
  13. 13

    Optimization And Execution Of Multiple Holes-Drilling Operations Based On STEP-NC by Yusof, Yusri, Latif, Kamran, Hatem, Noor, A. Kadir, Aini Zuhra, Abedlhafd, Mohammed M.

    Published 2021
    “…Optimization of tool path operation can lead to a significant reduction in non-productive machining time. The newly developed system combines between open CNC control system and ant colony optimization (ACO) algorithm by using LabVIEW software. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  14. 14

    Effect of contour interval on minimization of tool path length in pocket milling process by Abdullah, Haslina, Ramli, Rizauddin, Abd Wahab, Dzuraidaqh

    Published 2020
    “…There were three different values of tool path interval chosen and set to study the consequence of cutting tool path interval on tool path length, which were 5.6 μm, 5.7 μm, and 5.9 μm. Ant colony algorithm was developed to minimise the additional path length. …”
    Get full text
    Get full text
    Article
  15. 15

    Scheduling dynamic cellular manufacturing systems in the presence of cost uncertainty using heuristic method by Delgoshaei, Aidin

    Published 2016
    “…Since the proposed models (like similar models in the literature) are likely to fall into local optimum points, a Branch and Bound based heuristic, a hybrid Simulated Annealing and Genetic algorithm, a hybrid Tabu search and Simulated Annealing, a hybrid Genetic algorithm and Simulated Annealing, a hybrid Ant Colony Optimization and Simulated Annealing and a hybrid Multi-layer Perceptron and Simulated Annealing algorithms are developed. …”
    Get full text
    Get full text
    Thesis
  16. 16