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  1. 1
    The Determination of Pile Capacity Using Artificial Neural-net: An Optimization Approach

    The Determination of Pile Capacity Using Artificial Neural-net: An Optimization Approach by Ab. Malik, Rosely, Jamil S., Mohamed

    Published 2001
    “…Using the developed algorithm, the safety measures involved are such as reliability index and the probability of failure; instead of only factor of safety if conventional deterministic approach is used. …”
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  2. 2
    Enhanced cell-based algorithm with dynamic radius in solving capacitated multi-source weber problem

    Enhanced cell-based algorithm with dynamic radius in solving capacitated multi-source weber problem by Nurhazwani, Ahmad Razak

    Published 2021
    “…This method was derived from previous study that divides the distribution of customers into smaller cells of promising locations. …”
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  3. 3
    A Novel Method for Detecting Breast Cancer Location Based on Growing GA-FCM Approach

    A Novel Method for Detecting Breast Cancer Location Based on Growing GA-FCM Approach by Milad Abaspoor, Saeed Meshgini, Tohid Yousefi Rezaii, Ali Farzamnia

    Published 2020
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  4. 4
    An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction

    An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction by Pauline Ong, Pauline Ong, Zainuddin, Zarita

    Published 2023
    “…Performance assessment demonstrates its superior approximation capability than the existing methods used for WNNs initialization.…”
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  5. 5
    An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction

    An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction by Pauline Ong, Pauline Ong, Zainuddin, Zarita

    Published 2023
    “…Performance assessment demonstrates its superior approximation capability than the existing methods used for WNNs initialization.…”
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  6. 6
    An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction

    An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction by Pauline Ong, Pauline Ong, Zainuddin, Zarita

    Published 2023
    “…Performance assessment demonstrates its superior approximation capability than the existing methods used for WNNs initialization.…”
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  7. 7
    An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction

    An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction by Pauline Ong, Pauline Ong, Zainuddin, Zarita

    Published 2023
    “…Performance assessment demonstrates its superior approximation capability than the existing methods used for WNNs initialization.…”
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  8. 8
    An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction

    An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction by Pauline Ong, Pauline Ong, Zainuddin, Zarita

    Published 2023
    “…Performance assessment demonstrates its superior approximation capability than the existing methods used for WNNs initialization.…”
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  9. 9
    An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction

    An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction by Pauline Ong, Pauline Ong, Zainuddin, Zarita

    Published 2023
    “…Performance assessment demonstrates its superior approximation capability than the existing methods used for WNNs initialization.…”
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  10. 10
    Optimization of image mapping & camera coverage efficiency for continuous location and tracking

    Optimization of image mapping & camera coverage efficiency for continuous location and tracking by Avinash A.R., Chandan K.C.

    Published 2023
    “…Thus by knowing the rotation angle of the 2nd camera to locate the first camera, the 2nd camera can be localized .This same method is used for the other cameras to localize itself. …”
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  11. 11
    Comparison between Newton’s Method and a new Scaling Newton Method / Ramizah Baharuddin

    Comparison between Newton’s Method and a new Scaling Newton Method / Ramizah Baharuddin by Baharuddin, Ramizah

    Published 2021
    “…Newton's Method also called the Newton-Raphson method is a recursive algorithm for approximating the root of a differentiable function. …”
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  12. 12
    A large neighbourhood search to solve capacitated planar location-allocation problem

    A large neighbourhood search to solve capacitated planar location-allocation problem by Luis, Martino, Lamsali, Hendrik, Surya Saputra, Ruswiati

    Published 2014
    “…The experiments are conducted to assess the performance of the proposed method using benchmark data sets taken from the facility location literature. …”
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  13. 13
    Modelling of optimal placement and sizing of battery energy storage system using hybrid whale optimization algorithm and artificial immune system for total system losses reduction.

    Modelling of optimal placement and sizing of battery energy storage system using hybrid whale optimization algorithm and artificial immune system for total system losses reduct... by Wong Ling Ai

    Published 2023
    “…Upon comparing with other optimisation algorithms, WOA and WOA-AIS displayed satisfactory performance in obtaining optimal BESS locations and sizing in distribution network. …”
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  14. 14
    Optimizing wavelet neural networks using modified cuckoo search for multi-step ahead chaotic time series prediction

    Optimizing wavelet neural networks using modified cuckoo search for multi-step ahead chaotic time series prediction by Ong, Pauline, Zainuddin, Zarita

    Published 2019
    “…Determining the optimal number of hidden nodes and their proper initial locations are essentially crucial before the wavelet neural networks (WNNs) start their learning process. …”
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  15. 15
    Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar

    Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar by Seyed Alireza, Ravanfar

    Published 2017
    “…Results indicate that the wavelet-based damage detection method precisely identified the location and severity of damages even without reference data. …”
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  16. 16
    Using artificial intelligence search in solving the camera placement problem

    Using artificial intelligence search in solving the camera placement problem by Altahir, A.A., Asirvadam, V.S., Hamid, N.H.B., Sebastian, P.

    Published 2022
    “…Following the coverage modeling, an optimization method needs to be used to locate the optimal poses and/or camera positions. …”
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  17. 17
    A Modified Particle Swarm Optimization for Efficient Maximum Power Point Tracking Under Partial Shading Condition

    A Modified Particle Swarm Optimization for Efficient Maximum Power Point Tracking Under Partial Shading Condition by Koh J.S., Tan R.H.G., Lim W.H., Tan N.M.L.

    Published 2024
    “…A modified global search method with fewer parameters is devised to rapidly identify approximated location of GMPP. …”
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  18. 18
    Fault diagnosis in unbalanced radial distribution networks using generalised regression neural network

    Fault diagnosis in unbalanced radial distribution networks using generalised regression neural network by Mirzaei, Maryam

    Published 2011
    “…Fault location includes the determination of the physical location of the fault. …”
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  19. 19
    Development an accurate and stable range-free localization scheme for anisotropic wireless sensor networks

    Development an accurate and stable range-free localization scheme for anisotropic wireless sensor networks by Han, Fengrong

    Published 2022
    “…The localization accuracy and robustness of comparison indicated that the developed DWGWO-DV-Hop algorithm super outperforms the other classical range-free methods. …”
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  20. 20
    Combination of Minimum-Maximum (M-M) Attribute and Zero-INTENS-Difference (Z-I-D) Attribute for Estimating Seismically Thin-Bed Thickness

    Combination of Minimum-Maximum (M-M) Attribute and Zero-INTENS-Difference (Z-I-D) Attribute for Estimating Seismically Thin-Bed Thickness by Purnomo, Eko Widi, Harith, Zuhar Zahir Tuan

    Published 2011
    “…Bad thickness estimation is resulted for 20% noise seismic. The method algorithm is extended for similar dipole polarity model and multilayer model to bring the method to real seismic data nearer. …”
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