Search Results - (( development program optimisation algorithm ) OR ( java data control algorithm ))

Refine Results
  1. 1
  2. 2

    Modelling and optimisation of blood glucose control for type 1 diabetes using multi-parametric programming and model-based predictive control (mp-MPC) / Associate Professor Dr Ayub... by Md. Som, Ayub

    Published 2014
    “…In doing so, Multi-Parametric Programming technique is used to develop the computer algorithm; whereas Model-Based Predictive Control (MPC) is adopted for the design of the controller. …”
    Get full text
    Get full text
    Monograph
  3. 3

    Optimal water supply reservoir operation by leveraging the meta-heuristic Harris Hawks algorithms and opposite based learning technique by Lai V., Huang Y.F., Koo C.H., Ahmed A.N., Sherif M., El-Shafie A.

    Published 2024
    “…To ease water scarcity, dynamic programming, stochastic dynamic programming, and heuristic algorithms have been applied to solve problem matters related to water resources. …”
    Article
  4. 4

    The application of hybrid artificial intelligence techniques in the optimisation of crude palm oil production by ., Lily Amelia, Wahab, Dzuraidah, Hassan, Azmi

    Published 2008
    “…The proposed optimisation model is an integration between fuzzy expert system and multi objective programming model. …”
    Get full text
    Get full text
    Get full text
    Proceeding Paper
  5. 5

    Design Of Robot Motion Planning Algorithm For Wall Following Robot by Ali Hassan, Muhamad Khairul

    Published 2006
    “…Computer A will be sent the data to computer B through the internet/LAN using JAVA program. …”
    Get full text
    Get full text
    Monograph
  6. 6

    Methods of aircraft trajectory optimisation in air combat by Nusyirwan, Istas Fahrurrazi, Bil, Cees

    Published 2007
    “…The evader must find the trajectory that avoids or maximises the time to interception, while the pursuer must find a trajectory that achieves or minimises the time to intercept the evader. An algorithm has been developed and implemented using Evolutionary Programming. …”
    Get full text
    Get full text
    Article
  7. 7

    Café Web Based System Using Priority Scheduling Approach by Fatimah, Ghazali, Rohana, Ismail, Mohamad Hariz, Hasni

    Published 2017
    “…The priority scheduling algorithm is based on Control Processing Unit scheduling algorithm where it has a priority to execute tasks. …”
    Get full text
    Get full text
    Conference or Workshop Item
  8. 8

    Hybrid evolutionarybarnacles mating optimisation-artificial neural network based technique for solving economic power dispatch planning and operation / Nor Laili Ismail by Ismail, Nor Laili

    Published 2024
    “…In this study, a new optimisation algorithm termed Hybrid Evolutionary-Barnacles Mating Optimisation (HEBMO) was initially formulated to solve optimisation problems. …”
    Get full text
    Get full text
    Thesis
  9. 9

    Solving Unit Commitment Problem Using Multi-agent Evolutionary Programming Incorporating Priority List by Othman M.N.C., Rahman T.K.A., Mokhlis H., Aman M.M.

    Published 2023
    “…This paper presents an approach to solve the unit commitment problem using a newly developed Multi-agent Evolutionary Programming incorporating Priority List optimisation technique (MAEP-PL). …”
    Article
  10. 10

    Unit commitment in power system using multi-agent evolutionary programming incorporating priority listing optimisation technique / Muhammad Nazree Che Othman by Che Othman, Muhammad Nazree

    Published 2013
    “…This research presents an approach to solve the UC problem using a newly developed Multi-agent Evolutionary Programming incorporating Priority Listing optimisation technique (MAEP-PL). …”
    Get full text
    Get full text
    Thesis
  11. 11
  12. 12
  13. 13

    Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a L�vy flight and distribution enhancement technique by Lai V., Huang Y.F., Koo C.H., Ahmed A.N., El-Shafie A.

    Published 2023
    “…Optimisation studies were done at the Klang Gate Dam (KGD) utilising standard optimisation and dynamic programming; according to the technology then. …”
    Article
  14. 14
  15. 15

    Automated time series forecasting by Ismail, Suzilah, Zakaria, Rohaiza, Tuan Muda, Tuan Zalizam

    Published 2011
    “…Moving Average, Decomposition, Exponential Smoothing, Time Series Regressions and ARIMA) were used.The algorithm was developed in JAVA using up to date forecasting process such as data partition, several error measures and rolling process.Successfully, the results of the algorithm tally with the results of SPSS and Excel.This automatic forecasting will not just benefit forecaster but also end users who do not have in depth knowledge about forecasting techniques.…”
    Get full text
    Get full text
    Get full text
    Monograph
  16. 16

    Development of multi-objective Chaotic Immune Symbiotic Organisms Search (CISOS) algorithm for facts device installation in voltage security control / Mohamad Khairuzzaman Mohamad... by Mohamad Zamani, Mohamad Khairuzzaman

    Published 2019
    “…Comparative studies were also conducted with respect to other existing optimisation techniques namely Symbiotic Organisms Search (SOS), Particle Swarm Optimization (PSO) and Evolutionary Programming (EP). …”
    Get full text
    Get full text
    Thesis
  17. 17

    A cluster-based hybrid replica control protocol for high availability in data grid by Mabni, Zulaile

    Published 2019
    “…Therefore, a replica control protocol must consider the dynamic aspects of the Data Grid. …”
    Get full text
    Get full text
    Thesis
  18. 18

    A decomposition/aggregation method for solving electrical power dispatch problems by Mansor M.H., Irving M.R., Taylor G.A.

    Published 2023
    “…This paper presents a new approach to solving the Economic Dispatch (ED) Problem for a large number of generators using a decomposition / aggregation method. A program has been developed to demonstrate the algorithm using the MATLAB programming language. …”
    Conference paper
  19. 19
  20. 20

    Performance improvement through optimal location and sizing of distributed generation / Zuhaila Mat Yasin by Mat Yasin, Zuhaila

    Published 2014
    “…Next, a novel hybrid Artificial Neural Network - Quantum-Inspired Evolutionary Programming (QIEP-ANN) is developed for comparison. …”
    Get full text
    Get full text
    Thesis