Search Results - (( using function method algorithm ) OR ( combining simulation approach algorithm ))
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1
Cognitive map approach for mobility path optimization using multiple objectives genetic algorithm
Published 2023“…The Cognitive Map method is combined with genetic algorithm to derive the mobile robot optimal moving path towards its goal functions. …”
Conference Paper -
2
Application of shuffled frog leaping algorithm for economic dispatch with multiple fuel options / Muhammad Akif Abu Bakar
Published 2016“…The proposed method in solving economic dispatch problem combines the evolutionary algorithm with analytical approach is capable in performing much better in directing the search towards the optimal region. …”
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3
Optimizing BOINC scheduling using genetic algorithm based on thermal profile
Published 2014“…We use genetic algorithm to find the best combination of clients and jobs based on clients order and least execution time. …”
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4
Hierarchical Bayesian estimation for stationary autoregressive models using reversible jump MCMC algorithm
Published 2018“…The performance of the algorithm is tested by using simulated data. The test results show that the algorithm can estimate the order and coefficients of the autoregressive model very well. …”
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5
Neural Network Model and Finite Element Simulation of Spring back in Plane-Strain Metallic Beam Bending
Published 2006“…Two metamodeling techniques namely the neural network and the response surface methodology are used and compared to approximate two multidimensional functions. …”
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6
Combining Recursive Least Square and Principal Component Analysis for Assisted History Matching
Published 2014“…This project will study the applicability of the combined algorithm for history matching problem. The study conducted on PCA and RLS method shows high chances of success in applying these methods for history matching problem. …”
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Final Year Project -
7
Improved Transportation Model with Internet of Things Using Artificial Intelligence Algorithm
Published 2023“…Furthermore, a route management technique is combined with Artificial Intelligence (AI) algorithm to transmit the data to appropriate central servers. …”
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8
Hybrid optimization approach to estimate random demand
Published 2012“…The main objective of this study is to develop a demand forecasting model that should reflect the characteristics of random demand patterns.To accomplish this goal, a hybrid algorithm combining a genetic algorithm and a local search algorithm method was developed to overcome premature convergence in local optima problems.The performance of the hybrid algorithm was compared with a single algorithm model in estimating parameter values that minimize objective function which was used to measure the goodness-of-fit between the observed data and simulated results.However, two problems had to be overcome in the forecasting random demand model. …”
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9
Fuzzy clustering method and evaluation based on multi criteria decision making technique
Published 2018“…The proposed algorithm is used as a pre-processing method for data followed by Gustafson-Kessel (GK) algorithm to classify credit scoring data. …”
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10
An Optimized PID Parameters for LFC in Interconnected Power Systems Using MLSL Optimization Algorithm
Published 2016“…The combination algorithms set of MLSL_PID_ISE and GA_PID_ISE are coded and simulated using MATLAB. …”
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11
Smart fall detection by enhanced SVM with fuzzy logic membership function
Published 2023“…Because combining these two algorithms is not an easy task, we leverage SVM with a kernel comprised of a fuzzy membership function and thus build a new model known as FSVM. …”
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12
Solving the optimal power flow problems using the superiority of feasible solutions-moth flame optimizer
Published 2024“…Thus, the researchers trying to solve the OPF using metaheuristic approaches. Numerous algorithms have been put forth in the literature to address the aforementioned OPF challenges. …”
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13
Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani
Published 2016“…The algorithm simulates two important tasks that are frequently used by the human experts to identify summarizing strategies used to produce the summary sentences: 1) sentences relevance identification; and 2) summarizing strategies identification. …”
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14
Optimization of coded signals based on wavelet neural network
Published 2015“…Each hidden layer uses Morlet function as activation function. WNN is a new class of network that combines the classic sigmoid neural network and wavelet analysis. …”
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15
On some methods of feature engineering useful for craniodental morphometrics of rats, shrews and kangaroos / Aneesha Pillay Balachandran Pillay
Published 2024“…Machine learning approaches were also performed using predicted PC scores obtained from both methods (combination of all three craniodental views and individual views). …”
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16
Parameter estimation of multicomponent transient signals using deconvolution and ARMA modelling techniques
Published 2003“…In this method of analysis the exponential signal is converted to a convolution model whose input is a train of weighted delta function that contains the signal parameters to be determined.The resolution of the estimated decay rates is poor if the conventional fast Fourier transform (FFT) algorithm is used to analyse the resulting deconvolved data. …”
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17
Distributed generation installation using particle swarm optimization
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Working Paper -
18
An efficacious multi-objective fuzzy linear programming approach for optimal power flow considering distributed generation
Published 2016“…Moreover, the results indicate that using the optimal DG location with the MFLP algorithm provides the solution with the highest quality.…”
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19
Long-term optimal planning for renewable based distributed generators and battery energy storage systems toward enhancement of green energy penetration
Published 2025“…To solve the optimization planning model, a hybrid optimization algorithm is proposed, combining the non-dominating sorting genetic algorithm (NSGAII) and multi-objective particle swarm optimization (MOPSO). …”
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20
Nomadic people optimizer (NPO) for large-scale optimization problems
Published 2019“…The NPO is inspired by the lifestyle of the nomads. The proposed algorithm simulates the behavior of the nomads when they are searching for life sources (water or grazing fields). …”
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