Search Results - (( developing effective inspired algorithm ) OR ( java implication based algorithm ))

Refine Results
  1. 1

    Review on bio-inspired algorithms approach to solve assembly line balancing problem by Noorazliza, Sulaiman, Junita, Mohamad Saleh, Nor Rokiah Hanum, Md. Haron, Z. A., Kamaruzzaman

    Published 2019
    “…Bio-inspired algorithms that have been developed by mimicking the biological phenomenon of nature have been widely applied to solve many real-world problems. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  2. 2

    An artificial immune system model as talent performance predictor / Siti ‘Aisyah Sa’dan, Hamidah Jantan and Mohd Hanapi Abdul Latif by Sa’dan, Siti ‘Aisyah, Jantan, Hamidah, Abdul Latif, Mohd Hanapi

    Published 2016
    “…Immune based algorithm is part of bio-inspired algorithms elicits theories which can act as an inspiration for computer-based solutions. …”
    Get full text
    Get full text
    Research Reports
  3. 3

    A Bat-inspired Strategy for Pairwise Testing by Alsariera, Yazan A., Mazlina, Abdul Majid, Kamal Z., Zamli

    Published 2015
    “…BPTS serves as our research vehicle to investigate the effectiveness of Bat-inspired algorithm for pairwise test generation, which is going to be helpful to reduce the time and cost of software testing by reducing the number of test cases.…”
    Get full text
    Get full text
    Get full text
    Article
  4. 4

    Sentiment mining using immune network algorithm /Raja Muhammad Hafiz Raja Kamarudin by Raja Kamarudin, Raja Muhammad Hafiz

    Published 2012
    “…However, this is a step stone towards developing a biological-inspired Sentiment Mining algorithm…”
    Get full text
    Get full text
    Thesis
  5. 5

    Bio-inspired for Features Optimization and Malware Detection by Mohd Faizal, Ab Razak, Nor Badrul, Anuar, Fazidah, Othman, Ahmad, Firdaus, Firdaus, Afifi, Rosli, Salleh

    Published 2018
    “…The features were optimized from 378 to 11 by using bio-inspired algorithm: particle swarm optimization (PSO). …”
    Get full text
    Get full text
    Get full text
    Article
  6. 6

    Locust- inspired meta-heuristic algorithm for optimising cloud computing performance by Fadhil, Mohammed Alaa

    Published 2023
    “…The third part addresses the limitations of LACE algorithms, leading to the proposition of a novel meta-heuristic algorithm called the Locust-Inspired Algorithm (LIA) that can effectively map virtual machines (VMs) for efficient server consolidation. …”
    Get full text
    Get full text
    Thesis
  7. 7
  8. 8

    Application of Moth-Flame Optimizer and Ant Lion Optimizer to Solve Optimal Reactive Power Dispatch Problems by Rebecca Ng, Shin Mei, M. H., Sulaiman, Hamdan, Daniyal, Zuriani, Mustaffa

    Published 2018
    “…MFO is developed by the inspiration of the natural navigation method of moths during night time while ALO is inspired by the natural foraging technique of antlions in hunting ants. …”
    Get full text
    Article
  9. 9

    Bio-inspired for Features Optimization and Malware Detection by Razak, Mohd Faizal Ab, Anuar, Nor Badrul, Othman, Fazidah, Firdaus, Ahmad, Afifi, Firdaus, Salleh, Rosli

    Published 2018
    “…The features were optimized from 378 to 11 by using bio-inspired algorithm: particle swarm optimization (PSO). …”
    Get full text
    Get full text
    Article
  10. 10

    Study of nature inspired computing (NIC) technique for optimal reactive power dispatch problems by Sulaiman, Mohd Herwan

    Published 2017
    “…The results from each case study were compared with the best results of other optimization algorithms that reported in the recent literatures in order to test the effectiveness of proposed MFO. …”
    Get full text
    Get full text
    Research Report
  11. 11

    Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter by Azhar, Nur Huwaina

    Published 2019
    “…A decentralized Locust-inspired scheduling algorithm (LACE) is one way to minimize the level of energy consumption in cloud datacenters. …”
    Get full text
    Get full text
    Thesis
  12. 12

    Quantum-inspired associative memories for incorporating emotion in a humanoid / Naoki Masuyama by Naoki, Masuyama

    Published 2016
    “…In regards to the ability improvements in terms of memory capacity and noise tolerance, the quantum-inspired hetero-association models with batch/incremental learning algorithm are developed based on QHAM. …”
    Get full text
    Get full text
    Thesis
  13. 13
  14. 14

    The effect of GA parameters on the performance of GA-based QoS routing algorithm by Yussof S., See O.H.

    Published 2023
    “…Genetic algorithm (GA) is a powerful search and optimization algorithm inspired by the theory of genetics and natural selection. …”
    Conference paper
  15. 15

    New bio-inspired barnacle optimizers based least-square support vector machine for time-series prediction of pandemic outbreaks by Marzia, Ahmed

    Published 2024
    “…Secondly, this thesis invents the new bio-inspired Gooseneck Barnacle Optimization Algorithm (GBO), drawing inspiration from gooseneck barnacle mating behaviors, to address the limitations of the original BMO and its variants, aiming for more realistic and robust optimization. …”
    Get full text
    Get full text
    Thesis
  16. 16

    Nature-Inspired cognitive evolution to play Ms. Pac-Man by Tse, Guan Tan, Jason Teo, Patricia Anthony

    Published 2011
    “…Recent developments in nature-inspired computation have heightened the need for research into the three main areas of scientific, engineering and industrial applications. …”
    Get full text
    Get full text
    Get full text
    Article
  17. 17
  18. 18
  19. 19

    Formulation of metaheuristic algorithms based on artificial bee colony for engineering problems by Lee, Wei Wen

    Published 2024
    “…The Artificial Bee Colony (ABC) algorithm is a powerful metaheuristic optimization technique inspired by the honeybee foraging behaviour. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  20. 20