Search Results - (( parameter optimization model algorithm ) OR ( data distribution function algorithm ))*

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  1. 1
    An Optimal Scheduling Controller for Virtual Power Plant and Microgrid Integration Using the Binary Backtracking Search Algorithm

    An Optimal Scheduling Controller for Virtual Power Plant and Microgrid Integration Using the Binary Backtracking Search Algorithm by Abdolrasol M.G.M., Hannan M.A., Mohamed A., Amiruldin U.A.U., Abidin I.B.Z., Uddin M.N.

    Published 2023
    Conference Paper
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  2. 2
    Some families of count distributions for modelling zero-inflation and dispersion / Low Yeh Ching

    Some families of count distributions for modelling zero-inflation and dispersion / Low Yeh Ching by Low, Yeh Ching

    Published 2016
    “…A popular distribution for the modelling of discrete count data is the Poisson distribution. …”
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    Thesis
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  3. 3
    Reliability Analysis and Prediction of Time to Failure Distribution of an Automobile Crankshaft

    Reliability Analysis and Prediction of Time to Failure Distribution of an Automobile Crankshaft by Salvinder Singh, Karam Singh, Shahrum, Abdullah, Nik Abdullah, Nik Mohamed

    Published 2015
    “…T, the algorithm has the capability to statistically validate the algorithm to obtain the optimal parametric model to represent the failure of the component against the actual time to failure data from the local automobile industry. …”
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  4. 4
    New learning algorithm based on Hidden Markov Model (HMM) as stochastic modelling for pattern calssification

    New learning algorithm based on Hidden Markov Model (HMM) as stochastic modelling for pattern calssification by Balakrishnan, Malarvili, Ting, Chee Ming, Shaikh Salleh, Sheikh Hussain

    Published 2009
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    Monograph
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  5. 5
    PSO modelling and PID controlled of automatic fish feeder system

    PSO modelling and PID controlled of automatic fish feeder system by W Mahmud, Wan Muhammad Azlan

    Published 2020
    “…The main objective of this study is to improve the performance of fish feeding system by using PID controller through ARX modelling. In this study, raw data at distribution part with speed of 130 rpm, 160 rpm, 190 rpm, 220 rpm and 250 rpm were extracted and used to determine ARX equation parameters as transfer function by using PSO algorithm to optimize ARX model parameter. …”
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  6. 6
    Variational Bayesian inference for exponentiated Weibull right censored survival data

    Variational Bayesian inference for exponentiated Weibull right censored survival data by Jibril Abubakar, Jibril Abubakar, Mohd Asrul Affendi Abdullah, Mohd Asrul Affendi Abdullah, Oyebayo Ridwan Olaniran, Oyebayo Ridwan Olaniran

    Published 2023
    “…The exponential, Weibull, log-logistic and lognormal distributions represent the class of light and heavy-tailed distributions that are often used in modelling time-to-event data. …”
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  7. 7
    Rate limiting algorithm on video traffic with Pareto traffic model in broadband network / Rafidah Samsuri

    Rate limiting algorithm on video traffic with Pareto traffic model in broadband network / Rafidah Samsuri by Samsuri, Rafidah

    Published 2016
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  8. 8
    Rank regression for modeling bus dwell time in the presence of censored observations

    Rank regression for modeling bus dwell time in the presence of censored observations by Karimi, Mostafa, Ibrahim, Noor Akma

    Published 2019
    “…An iterative algorithm is introduced that involves a monotone estimating function of the model parameter, and its minimization is a computationally simple optimization problem. …”
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  9. 9
    Distributed joint power control, beamforming and spectrum leasing for cognitive two-way relay networks

    Distributed joint power control, beamforming and spectrum leasing for cognitive two-way relay networks by Iranpanah, Havzhin

    Published 2017
    “…A search method with numerous advantages over conventional algorithms, has been designed to solve the optimization problems with an enhanced global optimality and convergence speed. …”
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  10. 10
    Hybrid meta-heuristic algorithm for solving multi-objective aggregate production planning in fuzzy environment

    Hybrid meta-heuristic algorithm for solving multi-objective aggregate production planning in fuzzy environment by Kalaf, Kalaf, Bayda Atiya

    Published 2017
    “…In actual APP problems, input data or parameter values, including resource, demand, cost, and objective functions, may be inaccurate. …”
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  11. 11
    Reactive power tracing in pool-based power system utilising the hybrid genetic algorithm and least squares support vector machine

    Reactive power tracing in pool-based power system utilising the hybrid genetic algorithm and least squares support vector machine by Mohd Wazir, Mustafa, Prof. Dr., Mohd Herwan, Sulaiman, Hussain, Shareef, Dr., Siti Nur Hidayah, Abd Khalid

    Published 2013
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  12. 12
    Optimization of hydropower reservoir system using genetic algorithm for various climatic scenarios

    Optimization of hydropower reservoir system using genetic algorithm for various climatic scenarios by Tayebiyan, Aida

    Published 2015
    “…In order to increase the system efficiency and maximize the power generation, constructed operation models were optimized. To determine the optimum solution in each policy, real coded genetic algorithm is used as an optimization technique. …”
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  13. 13
    Power prediction using the wind turbine power curve and data-driven approaches / Ehsan Taslimi Renani

    Power prediction using the wind turbine power curve and data-driven approaches / Ehsan Taslimi Renani by Ehsan Taslimi , Renani

    Published 2018
    “…To obtain the unknown vector of parameters of the MHTan, three heuristic optimization algorithms are employed to minimize the sum of squared residuals. …”
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  14. 14
    Development of cost reduction mathematical model for natural gas transmission network system

    Development of cost reduction mathematical model for natural gas transmission network system by Mehrdad, Nikbakht Eliaderany

    Published 2012
    “…To achieve this, other objectives were targeted such as, to design a multi-echelon supply chain for the NGTSCs, to develop Extended Genetic Algorithms (EGAs), for solving the model, and to validate the mathematical model with a real world case study in natural gas industry. …”
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  15. 15
    Development of an artificial neural network algorithm for predicting the cutting force in end milling of Inconel 718 alloy

    Development of an artificial neural network algorithm for predicting the cutting force in end milling of Inconel 718 alloy by Hossain, Ishtiaq, Amin, A. K. M. Nurul, Patwari, Muhammed Anayet Ullah

    Published 2011
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  16. 16
    A novel fuzzy – backward/forward sweep power flow for uncertainty management in radial distribution network with photovoltaic generation

    A novel fuzzy – backward/forward sweep power flow for uncertainty management in radial distribution network with photovoltaic generation by Mohd Saad, Norhafidzah, Mat Yusuf, Muhammad Alif, Abas, Mohammad Fadhil, Pebrianti, Dwi, Jaalam, Norazila, Ab. Ghani, Suliana

    Published 2025
    “…This research presented a novel framework of fuzzy backward/forward sweep (F-BFS) power flow to address uncertainties in radial distribution networks with photovoltaic generation. The F-BFS framework integrated fuzzified values to model uncertainty parameters in radial distribution network power flow analysis, whereas the Grey Wolf Optimizer (GWO) was employed to optimize PVDG placement and sizing, aiming to minimize power losses and improve voltage deviations. …”
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  17. 17
    Reservoir Inflow Forecasting Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Techniques

    Reservoir Inflow Forecasting Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Techniques by Googhari, Shahram Karimi

    Published 2007
    “…The model was trained based on the Leven-berg Marquardt algorithm with sigmoid activation functions. …”
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  18. 18
    Bio-inspired snake robot locomotion: a CPG-based control approach

    Bio-inspired snake robot locomotion: a CPG-based control approach by Billah, Md. Masum, Khan, Md. Raisuddin

    Published 2015
    “…To optimize the CPG parameters, for the optimum output signals, particle swarm optimization (PSO) is applied in this paper. …”
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  19. 19
    Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems

    Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems by Kek, Sie Long

    Published 2011
    “…The main idea is the integration of optimal control and parameter estimation. In this work, a simplified model-based optimal control model with adjustable parameters is constructed. …”
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  20. 20
    Enhanced segment particle swarm optimization for large-scale kinetic parameter estimation of escherichia coli network model

    Enhanced segment particle swarm optimization for large-scale kinetic parameter estimation of escherichia coli network model by Mohammed Adam, Kunna Azrag

    Published 2021
    “…However, the large-scale kinetic parameters estimation using optimization algorithms is still not applied to the main metabolic pathway of the E. coli model, and they’re a lack of accuracy result been reported for current parameters estimation using this approach. …”
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