Search Results - (( parallel optimization sensor algorithm ) OR ( parametric optimization _ algorithm ))

Search alternatives:

Refine Results
  1. 1
    Optimized topology control in mobile IP networks using a new parametric routing algorithm

    Optimized topology control in mobile IP networks using a new parametric routing algorithm by Gholizadeh, Somayyeh, Abdullah, Azizol, Othman, Mohamed, Mohd Hanapi, Zurina

    Published 2018
    “…For this purpose, an Optimal Parametric Topology Control Routing (OPTCR) algorithm is introduced based on parametric linear programming formulation (LPF). …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  2. 2
    Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system

    Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system by Nurnajmin Qasrina Ann, Ayop Azmi

    Published 2018
    “…Stereo vision sensor consists of two stereo cameras, mounted parallel in stationary position. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  3. 3
    Quality of service in mobile IP networks with parametric multi-channel routing algorithms based on linear programming approach

    Quality of service in mobile IP networks with parametric multi-channel routing algorithms based on linear programming approach by Gholizadeh, Somayyeh

    Published 2018
    “…Furthermore, Optimized Parametric Topology Control Routing algorithm performs significantly better than Triangular Routing Method and Change Foreign Agent Algorithm. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  4. 4
    Parametric Optimization of End Milling Process Under Minimum Quantity Lubrication With Nanofluid as Cutting Medium Using Pareto Optimality Approach

    Parametric Optimization of End Milling Process Under Minimum Quantity Lubrication With Nanofluid as Cutting Medium Using Pareto Optimality Approach by Najiha, M. S., M. M., Rahman, K., Kadirgama

    Published 2016
    “…The optimization is carried out employing a parametric model (in terms of input cutting parameters, i.e., cutting speed, feed rate, depth of cut, MQL flow rate and % volume concentration of nanofluid) and exploiting the capabilities of the MOGA-II algorithm applied to the constrained machining problem. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  5. 5
    OPTIMIZATION OF A CRUDE DISTILLATION UNIT USING PARAMETRIC DESIGN OF TAGUCHI AND RESPONSE SURFACE METHODS

    OPTIMIZATION OF A CRUDE DISTILLATION UNIT USING PARAMETRIC DESIGN OF TAGUCHI AND RESPONSE SURFACE METHODS by ALI, SYED FAIZAN

    Published 2014
    “…A sequential quadratic programming (SQP) algorithm is then employed to optimize a profit function based onthereduced number of decision variables.…”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  6. 6
    Single-objective and multi-objective optimization algorithms based on sperm fertilization procedure / Hisham Ahmad Theeb Shehadeh

    Single-objective and multi-objective optimization algorithms based on sperm fertilization procedure / Hisham Ahmad Theeb Shehadeh by Hisham Ahmad, Theeb Shehadeh

    Published 2018
    “…The obtained results are compared with the results of four algorithms. These algorithms are Genetic Algorithms (GA), Parallel Genetic Algorithm (PGA), Particle Swarm Optimization (PSO) and Accelerated Particle Swarm Optimization (APSO). …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  7. 7
    Performance monitoring algorithm for optimizing electrical power generated by using photovoltaic system

    Performance monitoring algorithm for optimizing electrical power generated by using photovoltaic system by Pradeep, M.V.K., Balbir, S.M.S., Norani, M.M.

    Published 2016
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  8. 8
    Parametric Optimization for the Maximization of Hydrogen Production by Enterobacter Cloacae

    Parametric Optimization for the Maximization of Hydrogen Production by Enterobacter Cloacae by Saidin, Mohamad Shakir Amri

    Published 2015
    Get full text
    Get full text
    Final Year Project
    Save to List
    Saved in:
  9. 9
    Intelligently tuned weights based robust H∞ controller design for pneumatic servo actuator system with parametric uncertainty

    Intelligently tuned weights based robust H∞ controller design for pneumatic servo actuator system with parametric uncertainty by Ali, Hazem Ibrahim, Mohd Noor, Samsul Bahari, Bashi, Sinan Mahmod, Marhaban, Mohammad Hamiruce

    Published 2011
    “…Based on a particle swarm optimization (PSO) algorithm the, weighting functions are tuned. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    Normal-boundary intersection based parametric multi-objective optimization of green sand mould system

    Normal-boundary intersection based parametric multi-objective optimization of green sand mould system by Ganesan, T., Vasant, P., Elamvazuthi, I.

    Published 2013
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    Parametric modelling of a TRMS using dynamic spread factor particle swarm optimisation

    Parametric modelling of a TRMS using dynamic spread factor particle swarm optimisation by Toha, Siti Fauziah, Abd Latiff, I., Mohamad, M., Tokhi, M Osman

    Published 2009
    “…In this paper, a sound approach for a Twin Rotor Multi-input Multi-Output System (TRMS) parametric modeling is proposed based on dynamic spread factor particle swarm optimization. …”
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  12. 12
    Evaluating enhanced predictive modeling of foam concrete compressive strength using artificial intelligence algorithms

    Evaluating enhanced predictive modeling of foam concrete compressive strength using artificial intelligence algorithms by Abdellatief M., Wong L.S., Din N.M., Mo K.H., Ahmed A.N., El-Shafie A.

    Published 2025
    “…Additionally, parametric and sensitivity analyses were used to assess the performance of the GPR and LR algorithms. …”
    Article
    Save to List
    Saved in:
  13. 13
    An intelligent framework for modelling and active vibration control of flexible structures

    An intelligent framework for modelling and active vibration control of flexible structures by Mohd. Hashim, Siti Zaiton

    Published 2004
    “…Parametric approaches include linear parametric modelling of the system using recursive least squares (RLS) and genetic algorithms (GAS); and non-parametric approaches include multi-layered perceptron neural networks (MLP-NNs) and adaptive neuro-fuzzy inference systems (ANFIS) are employed. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  14. 14
    Experimental dataset to develop a parametric model based of DC geared motor in feeder machine

    Experimental dataset to develop a parametric model based of DC geared motor in feeder machine by Azlan, W. M, Salleh, S. M, Mahzan, S, Sadikin, A, Ahmad, S

    Published 2019
    “…The actual data is used to be optimized using PSO algorithm. The parameter emphasized is time, mean square error (mse) and average time. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  15. 15
    Prediction of CO2 emission for the central European countries through five metaheuristic optimization techniques helping multilayer perceptron

    Prediction of CO2 emission for the central European countries through five metaheuristic optimization techniques helping multilayer perceptron by Moayedi H., Mukhtar A., Alshammari S., Boujelbene M., Elbadawi I., Thi Q.T., Mirzaei M.

    Published 2025
    “…To develop a reliable predictive network considering the problem complexity, multilayer perceptron (MLP) is combined with several nature-inspired optimization algorithms, namely, black hole algorithm (BHA), future search algorithm (FSA), backtracking search algorithm (BSA), biogeography-based optimization (BBO), and shuffled complex evolution (SCE). …”
    Article
    Save to List
    Saved in:
  16. 16
    Comparison between four non-classical conjugate gradient method for solving unconstrained optimization problem / Nik Nurshahfini Daud and Farah Ellyna Mohamad Fadzal

    Comparison between four non-classical conjugate gradient method for solving unconstrained optimization problem / Nik Nurshahfini Daud and Farah Ellyna Mohamad Fadzal by Daud, Nik Nurshahfini, Mohamad Fadzal, Farah Ellyna

    Published 2019
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  17. 17
    Optimizing Adaptive Neuro Fuzzy Inference System (Anfis) With Dragonfly Algorithm For Cardiovascular Disease

    Optimizing Adaptive Neuro Fuzzy Inference System (Anfis) With Dragonfly Algorithm For Cardiovascular Disease by Jinjiri, Wada Mohammed

    Published 2023
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  18. 18
    A MODIFIED PARTICLE SWARM OPTIMIZATION ALGORITHM FOR WELLBORE TRAJECTORY DESIGN

    A MODIFIED PARTICLE SWARM OPTIMIZATION ALGORITHM FOR WELLBORE TRAJECTORY DESIGN by BISWAS, KALLOL

    Published 2021
    “…Exploitation capability is the target hitting capability of an algorithm. Any algorithm with less exploitation capability or unbalanced capability missed many significant optima during optimization. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  19. 19
    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. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  20. 20
    Parametric modelling application to a twin rotor system using recursive least squares, genetic, and swarm optimization techniques

    Parametric modelling application to a twin rotor system using recursive least squares, genetic, and swarm optimization techniques by Toha, Siti Fauziah, Tokhi, M. O.

    Published 2010
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:

Search Tools: