Search Results - (( using optimization mead algorithm ) OR ( variable affecting efficient algorithm ))
Search alternatives:
- affecting efficient »
- variable affecting »
- optimization mead »
- mead algorithm »
-
1
A Novel Polytope Algorithm based on Nelder-mead method for localization in wireless sensor network
Published 2024“…This work proposes a novel and rigorous efficiency localization algorithm utilizing a simplex optimization approach for node localization. …”
Get full text
Get full text
Get full text
Get full text
Article -
2
-
3
-
4
Single and Multiple variables control using Tree Physiology Optimization
Published 2017“…This paper presents the tuning of single-input single-output (SISO), and multiple-input multiple-output (MIMO) control system using Tree Physiology Optimization (TPO). TPO is a metaheuristic optimization algorithm that has a clustered diversification search strategy inspired from plant shoots growth. …”
Get full text
Get full text
Article -
5
Optimized PID controller of DC-DC buck converter based on archimedes optimization algorithm
Published 2023“…The proposed PID controller, optimized using AOA, is contrasted with PID controllers tuned via alternative algorithms including the hybrid Nelder-Mead method (AEONM), artificial ecosystem-based optimization (AEO), differential evolution (DE), and particle swarm optimizer (PSO). …”
Get full text
Get full text
Get full text
Article -
6
Variable order variable stepsize algorithm for solving nonlinear Duffing oscillator
Published 2024journal::journal article -
7
Variable order variable stepsize algorithm for solving nonlinear Duffing oscillator
Published 2017“…By selecting the appropriate restrictions, the VOS algorithm provides a cost efficient computational code without affecting its accuracy. …”
Get full text
Get full text
Get full text
Article -
8
Modelling transmission dynamics of covid-19 during Pre-vaccination period in Malaysia: a predictive guiseird model using streamlit
Published 2023“…The time-varying coefficients of SEIRD model that best fit the real data of COVID-19 cases are obtained using the Nelder-Mead optimization algorithm. This an extended SIRD model with exposed (E) compartment becoming SEIRD, leads to a robust model. …”
Get full text
Get full text
Proceeding Paper -
9
Robust diagnostics and variable selection procedure based on modified reweighted fast consistent and high breakdown estimator for high dimensional data
Published 2022“…However, it cannot be applied when the sample size is less than the number of predictor variables. In addressing this problem, some robust procedures for high dimensional dataset via the RFCH algorithm are developed. …”
Get full text
Get full text
Thesis -
10
-
11
A Hybrid Adaptive Leadership GWO Optimization with Category Gradient Boosting on Decision Trees Algorithm for Credit Risk Control Classification
Published 2024“…However, compared with the traditional risk control algorithm (logistic regression algorithm), CatBoost algorithm also needs to have the advantages of high efficiency, low algorithm complexity and strong interpretable ability. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
12
Variable order variable stepsize algorithm for solving nonlinear Duffing oscillator
Published 2024“…By selecting the appropriate restrictions, the VOS algorithm provides a cost efficient computational code without affecting its accuracy. …”
Article -
13
A review of crossover methods and problem representation of genetic algorithm in recent engineering applications
Published 2020“…GA has many variations such as real coded and binary coded depending on the problem representation and so affects the forms of genetic operators. When optimizing process variables, the efficiency of crossover method is crucial. …”
Get full text
Get full text
Get full text
Article -
14
Hybrid dynamic scheduling model for flexible manufacturing system with machine availability and new job arrivals
Published 2015“…The BBO-VNS match-up algorithm manipulates the idle times on machines within the time horizon for assigning the affected operations by breakdown and/or newly arrived orders. …”
Get full text
Get full text
Thesis -
15
Solving large-scale problems using multi-swarm particle swarm approach
Published 2018“…The proposed approach strived to scale up the application of the (PSO) algorithm towards solving large-scale optimization tasks of up to 1000 real-valued variables. …”
Get full text
Get full text
Get full text
Article -
16
Robust Estimation Methods And Outlier Detection In Mediation Models
Published 2010“…Mediation models refer to the relationships among three variables: an independent variables (IV), a potential mediating variable (M), and a dependent variable (DV). …”
Get full text
Get full text
Thesis -
17
An improvised SIMPLS estimator based on MRCD-PCA weighting function and its application to real data
Published 2021“…The statistically inspired modification of the partial least squares (SIMPLS) is a very popular technique for solving a partial least squares regression problem due to its efficiency, speed, and ease of understanding. The execution of SIMPLS is based on the empirical covariance matrix of explanatory variables and response variables. …”
Get full text
Get full text
Article -
18
Price prediction model of green building based on machine learning algorithms / Nur Syafiqah Jamil
Published 2021“…Meanwhile, experiments using five common algorithms, Random Forest Regressor Model outperforms four (4) other algorithms in predicting the price of green building condominium, by training and validating the data-set using Split approach. …”
Get full text
Get full text
Thesis -
19
A proactive fuzzy-guided link labeling algorithm based on MIH framework in heterogeneous wireless networks
Published 2023“…It can provide the information about the parameters that affect on the events generation. An efficient system that generates links trigger mechanism will extensively impact the handover performance. …”
Article -
20
Development of sorting system for oil palm in vitro shoots using machine vision approach
Published 2014“…Close results between the performance of the developed sorting algorithm and SVM algorithm demonstrate that it is satisfactory and efficient. …”
Get full text
Get full text
Thesis
