Search Results - (( parameter adoption based algorithm ) OR ( using function method algorithm ))
Search alternatives:
- parameter adoption »
- method algorithm »
- function method »
- adoption based »
- using function »
-
1
-
2
Long term energy demand forecasting based on hybrid, optimization: Comparative study
Published 2012“…The objective of this research is to develop a long term energy demand forecasting model that used hybrid optimization.To accomplish this goal, a hybrid algorithm that combined a genetic algorithm and a local search algorithm method has been developed to overcome premature convergence.Model performances of hybrid algorithm were compared with former single algorithm model in estimating parameter values of an objective function to measure the goodness-of-fit between the observed data and simulated results.Averages error between two models was adopt to select the proper model for future projection of energy demand.…”
Get full text
Get full text
Get full text
Article -
3
A hyper-heuristic based strategy for image segmentation using multilevel thresholding
Published 2025“…EMCQ uses four low-level heuristic sets adopted from the teaching learning-based optimisation (TLBO) algorithm, flower pollination algorithm (FPA), genetic algorithm (GA), and Jaya algorithm. …”
Get full text
Get full text
Get full text
Article -
4
-
5
Super-opposition spiral dynamic-based fuzzy control for an inverted pendulum system
Published 2022“…An improvement on the spiral dynamic algorithm (SDA), this method uses a concept centered on opposition-based learning, which is used to evaluate the fitness of agents at the opposite location to the current solution. …”
Get full text
Get full text
Get full text
Article -
6
A hyper-heuristic based strategy for image segmentation using multilevel thresholding
Published 2025“…EMCQ uses four low-level heuristic sets adopted from the teaching learning-based optimisation (TLBO) algorithm, flower pollination algorithm (FPA), genetic algorithm (GA), and Jaya algorithm. …”
Get full text
Get full text
Get full text
Article -
7
-
8
Improved smoothed functional algorithmsoptimized pid controller for efficient speed regulation of wind turbines
Published 2025“…This study introduces a novel approach for PID controller tuning in wind turbine systems using single-agent optimization methods, specifically the memory smoothed functional algorithm (MSFA) and norm-limited smoothed functional algorithm (NL-SFA). …”
Get full text
Get full text
Get full text
Article -
9
Improved opposition-based particle swarm optimization algorithm for global optimization
Published 2021“…PSO also becomes trapped into local optima similarly to other nature-inspired algorithms. The literature depicts that in order to solve pre-mature convergence for PSO algorithms, researchers have adopted various parameters such as population initialization and inertia weight that can provide excellent results with respect to real world problems. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
10
-
11
Personalized human emotion classification using genetic algorithm
Published 2010Get full text
Working Paper -
12
-
13
Establishment of spectral subtraction-based algorithm for experimental modal analysis under operating condition
Published 2022“…Therefore, output response from the measurement requires a filtering process to suppress the response from operating forces and retain only the response from the artificially induced force. A new filtering algorithm adopted from a spectral subtraction filter was developed to preserve the impact response in impact-based EMA. …”
Get full text
Get full text
Thesis -
14
A comparative study of clonal selection algorithm for effluent removal forecasting in septic sludge treatment plant
Published 2015“…In this paper, we adopt the clonal selection algorithm (CSA) to set up a prediction model, with a wellestablished method – namely the least-square support vector machine (LS-SVM) as a baseline model. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
15
Identification of Continuous-Time Hammerstein Systems by Simultaneous Perturbation Stochastic Approximation
Published 2016“…The results demonstrate that the proposed algorithm is useful to obtain accurate models, even for high-dimensional parameter identification.…”
Get full text
Get full text
Get full text
Article -
16
Parameter estimation of Kumaraswamy Burr type X models based on cure models with or without covariates
Published 2017“…In this thesis, we considered two methods via the classical maximum likelihood estimation (MLE) and the Bayes estimation using the Gibbs sampling (G-S) algorithm to estimate the parameters of BKBX, KBX and Beta-Weibull (BWB) models. …”
Get full text
Get full text
Thesis -
17
Development of a multi-objective optimization model for transport and environment in a closed-loop automotive supply chain
Published 2014“…The Multiobjective GSA (MOGSA) algorithm is adopted and then programmed using MATLAB software particularly to the MOACLSC. …”
Get full text
Get full text
Thesis -
18
Improving Attentive Sequence-to-Sequence Generative-Based Chatbot Model Using Deep Neural Network Approach
Published 2022“…Through the years, a chatbot application has seen some improvement, from generating hard-generic responses to more flexible response. The adoption of DNN method into chatbot application produces a new generation chatbot that called as Generative-Based Chatbot. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
19
Multi-criteria acces selection mechanism based on user preferences in heterogeneous wireless networks
Published 2023“…FAHP is implemented to determine user preference values, and MADM method is used to establish the comprehensive candidate networks scores. …”
Get full text
Get full text
Get full text
Thesis -
20
Enhancing riverine load prediction of anthropogenic pollutants: Harnessing the potential of feed-forward backpropagation (FFBP) artificial neural network (ANN) models
Published 2025“…Among the mathematical modelling methods employed are artificial neural networks with feed-forward backpropagation algorithms and radial basis functions. …”
Article
