Search Results - (( initial solution bat algorithm ) OR ( parameter estimation method algorithm ))
Search alternatives:
- estimation method »
- initial solution »
- method algorithm »
- bat algorithm »
- solution bat »
- parameter »
-
1
An improved genetic bat algorithm for unconstrained global optimization problems
Published 2020“…Therefore, to ensure that GA converges to a global solution, this paper proposed a two-stage improved Genetic Bat algorithm (GBa) in which the GA finds the optimal solution first and then Bat starts from where the GA has converged. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
2
An improved bat algorithm with artificial neural networks for classification problems
Published 2016“…However, Bat suffers from large step lengths that sometimes make it to converge to sub-optimal solution. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
3
-
4
A hybrid bat–swarm algorithm for optimizing dam and reservoir operation
Published 2019“…This study proposes a new hybrid optimization algorithm based on a bat algorithm (BA) and particle swarm optimization algorithm (PSOA) called the hybrid bat–swarm algorithm (HB-SA). …”
Get full text
Get full text
Article -
5
Bat Algorithm Based Hybrid Filter-Wrapper Approach
Published 2023“…This paper presents a new hybrid of Bat Algorithm (BA) based on Mutual Information (MI) and Naive Bayes called BAMI. …”
Article -
6
Extended bat algorithm for PID controller tuning of wheeled mobile robot and swarm robotics target searching strategy
Published 2020“…The objectives of this research study is 1)to tune and optimize gains of Proportional-Integral-Derivative (PID) controller for wheeled mobile robot (WMR), 2)develop target searching strategy for swarm robotics system and 3)compared the performance of proposed method with the well-established methods, target searching strategy based on Particle Swarm Optimization (PSO) and Bat Algorithm (BA). Extended Bat Algorithm (EBA) has been chosen as swarm intelligent based method for this research study. …”
Get full text
Get full text
Thesis -
7
Semiparametric inference procedure for the accelarated failure time model with interval-censored data
Published 2019“…A computationally simple two-step iterative algorithm, called estimationapproximation algorithm, is introduced for estimating the parameters of the model on the basis of the rank estimators. …”
Get full text
Get full text
Get full text
Thesis -
8
An Improved Scatter Search Algorithm for Parameter Estimation in Large-Scale Kinetic Models of Biochemical Systems
Published 2019“…Methods: This paper proposes an improved scatter search algorithm to address the challenging parameter estimation problem. …”
Get full text
Get full text
Get full text
Get full text
Article -
9
Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman
Published 2019“…In this HPSO algorithm, totally seven particles positions are initialized. …”
Get full text
Get full text
Thesis -
10
An improved scatter search algorithm for parameter estimation in large-scale kinetic models of biochemical systems
Published 2019“…Methods: This paper proposes an improved scatter search algorithm to address the challenging parameter estimation problem. …”
Get full text
Get full text
Get full text
Article -
11
The development of parameter estimation method for Chinese hamster ovary model using black widow optimization algorithm
Published 2020“…Metaheuristic parameter estimation is an algorithm framework that is processed using some technique to generate a pattern or graph. …”
Get full text
Get full text
Get full text
Article -
12
Parameter Estimation Using Improved Differential Evolution And Bacterial Foraging Algorithms To Model Tyrosine Production In Mus Musculus(Mouse)
Published 2015“…The hybrid of Differential Evolution algorithm with Kalman Filtering and Bacterial Foraging algorithm is a novel global optimisation method implemented to obtain the best kinetic parameter value. …”
Get full text
Get full text
Get full text
Article -
13
Parameter estimation of tapioca starch hydrolysis process: Application of least squares and genetic algorithm
Published 2011Subjects: Get full text
Article -
14
An enhanced segment particle swarm optimization algorithm for kinetic parameters estimation of the main metabolic model of Escherichia coli
Published 2020“…In this study, an Enhanced Segment Particle Swarm Optimization algorithm (ESe-PSO) was proposed for kinetic parameters estimation. …”
Get full text
Get full text
Get full text
Article -
15
PSO and Linear LS for parameter estimation of NARMAX/NARMA/NARX models for non-linear data / Siti Muniroh Abdullah
Published 2017“…Results suggest that the PSO algorithm is viable alternative to other established algorithms for LLS parameter estimation. …”
Get full text
Get full text
Thesis -
16
Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm
Published 2005“…The performance of genetic algorithm (GA) in nonlinear kinetic parameter estimation of topiaca starch hydrolysis was studied and compared with Gauss-Newton method. …”
Get full text
Get full text
Get full text
Article -
17
Parameter estimation in double exponential smoothing using genetic algorithm / Foo Fong Yeng, Lau Gee Choon and Zuhaimy Ismail
Published 2014“…The objective of this research is to estimate the Double Exponential Smoothing by using Genetic Algorithm Mechanism. …”
Get full text
Get full text
Research Reports -
18
Estimation in spot welding parameters using genetic algorithm
Published 2007“…By using Genetic algorithm (GA) the spot welding parameters can be estimated.…”
Get full text
Get full text
Thesis -
19
Parameter estimation and outlier detection in linear functional relationship model / Adilah Abdul Ghapor
Published 2017“…This study begins by proposing a robust technique for estimating the slope parameter in LFRM. In particular, the focus is on the non-parametric estimation of the slope parameter and the robustness of this technique is compared with the maximum likelihood estimation and the Al-Nasser and Ebrahem (2005) method. …”
Get full text
Get full text
Get full text
Thesis -
20
Enhanced grey wolf optimisation algorithm for feature selection in anomaly detection
Published 2022“…The second modification develops a new position update mechanism using the Bat Algorithm movement. The third modification improves the controlled parameter of the MBGWO algorithm using indicators from the search process to refine the solution. …”
Get full text
Get full text
Thesis
