Search Results - (( using estimation method algorithm ) OR ( software optimisation based algorithm ))

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  1. 1

    Genetic algorithm for control and optimisation of exothermic batch process by Tan, Min Keng

    Published 2013
    “…In general, most of the studies use predictive approach to estimate the process behaviour and a slave controller, usually proportional-integral-derivative (PID), is employed to control the process based on the estimated plant behaviour. …”
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    Thesis
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    Development of a particle swarm optimisation model for estimating the homogeneity of a mixture inside a newly designed CNG-H2-AIR mixer for a dual fuel engine: an experimental and... by Mahmood, Hussein Adel, Adam, Nor Mariah, Sahari, Barkawi, Masuri, Siti Ujila

    Published 2018
    “…The basis of the proposal model (empirical equation) is from the best values determined for the unknown constant F so that the equation for UI estimation could be formulated. The particle swarm optimisation (PSO) algorithm was used to solve an optimisation problem and achieve this outcome. …”
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    Article
  3. 3

    Modelling methods and structure topology of the switched reluctance synchronous motor type machine: A review by Abdul Shukor, Fairul Azhar, Abdulah, Norrimah, Raja Othman, Raja Nor Firdaus Kashfi, Che Ahmad, Suhairi Rizuan, Mohd Nasir, Nur Ashikin

    Published 2023
    “…Although the numerical method can accurately estimate motor performance, the significant drawback is quite complicated, time-consuming, and difficult to implement the control algorithm with FEA software. …”
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    Article
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    Pembangunan dimensi baru bagi model regresi eksponen (kreb): aplikasi dalam sains kesihatan by Rohim, Rabi'atul 'Adawiyah Abdul

    Published 2020
    “…The main focus of this study is to establish a standard procedure for integrated exponential function algorithm, the KREB Model, with emphasis on the modelling techniques based on the scientific computational statistical method and the advanced statistical method by utilising the SAS software. …”
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    Thesis
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    An elitist-flower pollination-based strategy for constructing sequence and sequence-less t-way test suite by Abdullah, Nasser, Kamal Z., Zamli, Alsewari, Abdulrahman A., Ahmed, Bestoun S.

    Published 2018
    “…In line with the upcoming of a new field called search-based software engineering (SBSE), many newly developed t-way strategies adopting meta-heuristic algorithms can be seen in the literature for constructing interaction test suite (such as simulated annealing (SA), genetic algorithm (GA), ant colony optimisation algorithm (ACO), particle swarm optimisation (PSO), harmony search (HS) and cuckoo search (CS). …”
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    Article
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    Beam steering of four dipoles antenna array using genetic algorithm by Abdul Malek, Norun, Seager, Rob, Flint, James

    Published 2014
    “…A combination of genetic algorithm and array analysis based on the Induced EMF method optimised the input excitation of each dipole to maximise the main lobe to any azimuth direction. …”
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    Proceeding Paper
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    A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm by Ba-Quttayyan, Bakr Salim Abdullah

    Published 2024
    “…The developed framework, grounded in fault-based testing theory, comprises three key components: inputs, prioritization factors, and a prioritization algorithm. …”
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    Thesis
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    A Spectral Proximal Methodforsparse Optimisation On Underdetermined Linear Systems by Woo, Gillian Yi Han

    Published 2022
    “…Using the Lagrangian method, this problem is transformed into an unconstrained optimisation problem. However, it cannot be solved by using the standard optimisation algorithm since l0-norm is nonconvex and non-smooth. …”
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    Final Year Project / Dissertation / Thesis
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    Particle swarm optimization and spiral dynamic algorithm-based interval type-2 fuzzy logic control of triple-link inverted pendulum system : a comparative assessment by M. F., Masrom, N. M. A., Ghani, M. O., Tokhi

    Published 2021
    “…It is shown that the particle swarm optimization-based control mechanism performs better than the spiral dynamic algorithm-based control in terms of system stability, disturbance rejection and reduce noise. …”
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    Article
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