Search Results - (( pattern operating cost algorithm ) OR ( java simulation optimization algorithm ))

Refine Results
  1. 1
  2. 2

    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing by Husna, Jamal Abdul Nasir

    Published 2011
    “…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
    Get full text
    Get full text
    Get full text
    Thesis
  3. 3

    Ant colony optimization algorithm for load balancing in grid computing by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2012
    “…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
    Get full text
    Get full text
    Get full text
    Monograph
  4. 4

    Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari by Mohammed , Heydari

    Published 2017
    “…To estimate and predict the cost of the different stages of farming, and the cost of fertilizers needed for agricultural products, the obtained results of cultivation pattern per acre multiplied to cost breakdown values in tables taken from the ministry of agriculture. …”
    Get full text
    Get full text
    Get full text
    Thesis
  5. 5

    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT by Murad S.S., Badeel R., Alsandi N.S.A., Alshaaya R.F., Ahmed R.A., Muhammed A., Derahman M.

    Published 2023
    “…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
    Review
  6. 6

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
    Get full text
    Get full text
    Thesis
  7. 7

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
    Get full text
    Get full text
    Thesis
  8. 8

    Resource management in grid computing using ant colony optimization by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2011
    “…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
    Get full text
    Get full text
    Get full text
    Get full text
    Monograph
  9. 9

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

    Published 2019
    “…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
    Get full text
    Get full text
    Thesis
  10. 10

    Development of a new robust hybrid automata algorithm based on surface electromyography (SEMG) signal for instrumented wheelchair control by Mohd Hanafi, Muhammad Sidik

    Published 2020
    “…Addition of hybrid automata algorithm to run pattern and non-pattern recognition based control methods is an advantage to increase accuracy in differentiating forward stroke or hand return activity. …”
    Get full text
    Get full text
    Thesis
  11. 11

    Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism by Alomari M.F., Mahmoud M.A., Gharaei N., Rasool S.M., Hasan R.A.

    Published 2025
    “…Innovative cloud computing system offers cutting-edge storage models that prioritize the importance of data, adaptive algorithms for controlling data flow, and cost-effective computational procedures. …”
    Conference paper
  12. 12

    CORROSION DAMAGE ANALYSIS USING IMAGE PROCESSING by DEMPI, CHRISTIE BANGI

    Published 2018
    “…The corrosion of the pipelines or storage tanks are the potential failures for the power plant operation causing in the low efficiency and costly maintenance. …”
    Get full text
    Get full text
    Final Year Project
  13. 13

    Compact structure representation in discovering frequent patterns for association rules by Mustapha, N., Sulaiman, M.N., Othman, M., Selamat, M.H.

    Published 2002
    “…Structure used in typical algorithms for solving this problem operate in several database scans and a large number of candidate generation. …”
    Get full text
    Get full text
    Get full text
    Article
  14. 14

    Compact structure representation in discovering frequent patterns for association rules by Mustapha, Norwati, Sulaiman, Md. Nasir, Othman, Mohamed, Selamat, Mohd Hasan

    Published 2002
    “…Structure used in typical algorithms for solving this problem operate in several database scans and a large number of candidate generation. …”
    Get full text
    Get full text
    Get full text
    Article
  15. 15

    Techno-economic optimization and modelling of grid-connected photovoltaic and battery energy storage system by Gopinath Subramani

    Published 2023
    “…These costs affect their business and for some businesses, it can severely affect their ability to operate profitably. …”
    text::Thesis
  16. 16

    Development of high speed booth multiplier with optimized stuck-at fault implementation by Mohammed Khalid, Muhammad Nazir, Wan Hasan, Wan Zuha, Sulaiman, Nasri, Wagiran, Rahman

    Published 2002
    “…A part from that, time to market elcaupare very consuming to them, thus failure design can increase production operation and also total costing. So applied DFT is needed due to reduce the production time and total costing. …”
    Get full text
    Get full text
    Conference or Workshop Item
  17. 17

    Programmable Spatially Variant Single Pixel Imaging Based On Compressive Sensing by Shin, Zhen Yong

    Published 2021
    “…However, acquiring more measurements in practice increases the cost and operating time which hinder the practicality of single-pixel imaging. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  18. 18

    Optimal short term load forecasting using LSSVM and improved BFOA considering Malaysia pandemic disrupted situation by Zaini, Farah Anishah

    Published 2024
    “…These sudden and dramatic shifts in consumption patterns posed a significant challenge for power system operations, which rely heavily on accurate short-term load forecasting (STLF) for efficient and cost-effective operation. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  19. 19

    Enhancing campus mobility: simulated multi-objective optimization of electric vehicle sharing systems within an intelligent transportation system frameworks by Aba Hussen, Omar S., Hashim, Shaiful J., Sulaiman Member, Nasri, Alhaddad, S.A.R., Ribbfors, Bassam Y., Umeda, Masanobu, Katamine, Keiichi

    Published 2025
    “…The main objectives are to reduce the number of unserved demands and operational costs. A simulation model was developed in MATLAB, utilizing the Non-dominated Sorting Genetic Algorithm (NSGA-II), a powerful multi-objective optimization technique that balances conflicting objectives to achieve the best trade-offs for operational efficiency. …”
    Get full text
    Get full text
    Get full text
    Article
  20. 20