Search Results - (( ii optimization method algorithm ) OR ( using composition using algorithm ))

Optimal QoS aware multiple paths web service composition using heuristic algorithms and data mining techniques by Qtaish, Osama Kayed Taher

“…In this thesis, a smart QoS-aware service composition approach is proposed. The aim is to solve the above-mentioned problems via an optimization mechanism based upon the combination between runtime path prediction method and heuristic algorithms. …”
Get full text
Get full text
Get full text
Get full text

Optimization and control of hydro generation scheduling using hybrid firefly algorithm and particle swarm optimization techniques by Hammid, Ali Thaeer

“…To deal with these problems, this thesis introduces three approved intelligent controllers for hydropower generation. Firstly, a hybrid algorithm namely firefly particle swarm optimization (FPSO) and series division method (SDM) based on the practical swarm optimization and the firefly algorithm is proposed. …”
Get full text
Get full text

Neural network modeling and optimization for spray-drying coconut milk using genetic algorithm and particle swarm optimization by Lee, Jesee Kar Ming

“…The ANN model is further improved using GA and PSO. Each algorithm has its own parameters and is further optimized using RSM. …”
Get full text
Get full text

An experience oriented-convergence improved gravitational search algorithm for minimum variance distortionless response beamforming optimum by Darzi S., Tiong S.K., Tariqul Islam M., Rezai Soleymanpour H., Kibria S.

An integrated reservoir modelling and evolutionary algorithm for optimizing field development in a mature fractured reservoir by Sambo, C.H., Hematpour, H., Danaei, S., Herman, M., Ghosh, D.P., Abass, A., Elraies, K.A.

“…The second method is automatic optimization using Genetic Algorithm. …”
Get full text
Get full text

Enhancing CI engine performance and emission control using a hybrid RSM–Rao algorithm for ZnO-doped castor–neem biodiesel blends by Zhu, Chao-zhe, Samuel, Olusegun D., Patel G C, Manjunath, Der, Oguzhan, Abbas, Mohamed, Hussain, Fayaz, Ting, Tin Tin

“…Traditional optimization methods, like Response Surface Methodology (RSM) alone, have failed to capture the complexities of engine operation, leading to the adoption of a more efficient algorithmic approach that requires no algorithm-specific parameters. …”
Get full text
Get full text
Get full text

Enhancement of Single and Composite Images Based on Contourlet Transform Approach by Melkamu, Hunegnaw Asmare

“…Based on this investigation an optimal color space is selected for both single image and composite image enhancement approaches. …”
Get full text
Get full text

Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification by Abd Samad, Md Fahmi

“…The issue of model parsimony is also addressed, and the model is validated using correlation tests. The study reveals that, when recombination and mutation are used for different groups, equal composition of both groups produces a better result in terms of accuracy, parsimony, speed, and consistency.…”
Get full text
Get full text
Get full text
Get full text

A concentration prediction-based crop digital twin using nutrient co-existence and composition in regression algorithms by Ghazvini, Anahita, Mohd Sharef, Nurfadhlina, Balasundram, Siva Kumar, Lee, Lai Soon

“…This paper presents two approaches, namely, (i) single-nutrient concentration prediction and (ii) nutrient composition concentration prediction, which is the result of a predictive digital twin case study that employs six regression algorithms, namely, Elastic Net, Polynomial, Stepwise, Ridge, Lasso, and Linear Regression, to predict rice nutrient content efficiently, particularly considering the coexistence and composition of multiple nutrients. …”
Get full text
Get full text
Get full text

Inverse identification of elastic properties of composite materials using hybrid GA-ACO-PSO algorithm by Tam, Jun Hui, Ong, Zhi Chao, Ismail, Zubaidah, Ang, Bee Chin, Khoo, Shin Yee, Li, Wen L.

“…The proposed algorithm has been verified and applied in composite material identification with absolute percentage errors between measured and evaluated natural frequencies not more than 2%.…”
Get full text
Get full text

A concentration prediction-based crop digital twin using nutrient co-existence and composition in regression algorithms by Mohd Sharef, Nurfadhlina, Balasundram, Siva Kumar, Lai, Soon Lee, Ghazvini, Anahita

“…This pa-per presents two approaches, namely, (i) single-nutrient concentration prediction and (ii) nutrient composition concentration prediction, which is the result of a predictive digital twin case study that employs six regression algorithms, namely, Elastic Net, Polynomial, Stepwise, Ridge, Lasso, and Linear Regression, to predict rice nutrient content efficiently, particularly considering the co-existence and composition of multiple nutrients. …”
Get full text
Get full text
Get full text

Performance properties optimization of triaxial ceramic-palm oil fuel ash by employing Taguchi design and flower pollination algorithm by Zainudin, Azlan

“…The introduction of new raw material in an original composition can affect original optimal parameters. …”
Get full text
Get full text
Get full text
Get full text

Reference-free reduction of ballistocardiogram artifact from EEG data using EMD-PCA by Javed, E., Faye, I., Malik, A.S., Abdullah, J.M.

“…The proposed algorithm showed improvement in reducing the BCG artifact as well as in the preservation of brain activities, when compared with two renowned existing methods that are average artifact subtraction (AAS) and optimal basis set (OBS). …”
Get full text
Get full text

Hyperparameter tuning in deep learning using NSGA-III: a Multi-Objective perspective by Mohamad Rom, Abdul Rahman

“…The proposed Multi-Objective NSGAIII-DL framework is benchmarked against six baseline optimization strategies—manual search, grid search, random search, Bayesian optimization, particle swarm optimization, and standard genetic algorithms using MNIST and CIFAR-10 datasets. …”
Get full text
Get full text

Reference-free Reduction of Ballistocardiogram Artifact from EEG Data Using EMD-PCA by Javed, Ehtasham, Faye, Ibrahima, Malik, Aamir Saeed, Abdullah, Jafri Malin

“…The proposed algorithm showed improvement in reducing the BCG artifact as well as in the preservation of brain activities, when compared with two renowned existing methods that are average artifact subtraction (AAS) and optimal basis set (OBS).…”
Get full text
Get full text

Modeling of static and dynamic components of bio-nanorobotic systems by Gavgani, Hamidreza Khataee

“…In addition, a graph algorithm based on greedy methods is employed to compute a new set of optimal weighted electronic properties of the fullerenes via computing their Minimum Weight Spanning Trees (MWSTs). …”
Get full text
Get full text

Experimental Investigation and Optimization of Minimum Quantity Lubrication for Machining of AA6061-T6 by Najihah, Mohamed, M. M., Rahman, K., Kadirgama

“…Optimization is performed using a genetic algorithm and the optimized designs are obtained in the form of Pareto optimal designs. …”
Get full text
Get full text
Get full text

Modelling and optimization of microhardness of electroless Ni-P-TiO2composite coating based on machine learning approaches and RSM by Shozib, I.A., Ahmad, A., Rahaman, M.S.A., Abdul-Rani, A.M., Alam, M.A., Beheshti, M., Taufiqurrahman, I.

“…The microhardness of the electroless Ni-P-TiO2 coated composite was measured and predicted by various machine learning algorithms. …”
Get full text
Get full text

Composite nonlinear feedback control with multi-objective particle swarm optimization for active front steering system by Ramli L., Sam Y.M., Mohamed Z., Khairi Aripin M., Fahezal Ismail M.

Revealing the full potential of CsPbIBr2 perovskite solar cells: advancements towards enhanced performance by Hossain M.I., Shahiduzzaman M., Rafij J.H., Tamang A., Akhtaruzzaman M., Hamad A., Uddin J., Amin N., Nunzi J.-M., Taima T.

“…This approach combines finite-difference time-domain (FDTD) and finite element method (FEM) techniques with the particle swarm optimization (PSO) algorithm. …”