Search Results - (( web application means algorithms ) OR ( _ application ((based algorithm) OR (bat algorithm)) ))
Search alternatives:
- application means »
- means algorithms »
- web application »
- bat algorithm »
-
1
-
2
Bats echolocation-inspired algorithms for global optimisation problems
Published 2016“…The aim of the research is to introduce novel form of swarm intelligence algorithms based on real echolocation behaviour of bats. …”
Get full text
Get full text
Thesis -
3
A web-based implementation of k-means algorithms
Published 2022“…The K-means algorithm has been around for over a century. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
4
-
5
A Preliminary Study on Camera Auto Calibration Problem Using Bat Algorithm
Published 2013“…Each bat in Bat Algorithm represents a candidate solution for the problem and each dimension in the search space of the Bat Algorithm represents a parameter of intrinsic parameters: skew, focal length, and magnification factor. …”
Get full text
Get full text
Conference or Workshop Item -
6
Performance evaluation of PID controller optimisation for wheel mobile robot using Bat based optimisation algorithm
Published 2022“…Three different optimization algorithms which are Bat Algorithm (BA), Bat Algorithm with Mutation (BAM) and Extended Bat Algorithm (EBA) are implemented to optimize the value of PID controller gain for wheel mobile robot. …”
Get full text
Get full text
Book Chapter -
7
-
8
New random approaches of modified adaptive bats sonar algorithm for reservoir operation optimization problems
Published 2024“…The Modified Adaptive Bats Sonar Algorithm (MABSA), initially designed for single objective optimization and inspired by colony bats' echolocation, has demonstrated efficiency with its simple structure and reduced computation time. …”
Get full text
Get full text
Thesis -
9
HEURISTIC OPTIMIZATION OF BAT ALGORITHM FOR HETEROGENEOUS SWARMS USING PERCEPTION
Published 2023“…Swarm Intelligence is inspired by naturally occurring swarm systems suchas Ant Colony, Bees Hive, or Bats. The Bat Algorithm is a population-based meta-heuristic algorithm for solving continuous optimization problems. …”
Get full text
Get full text
Article -
10
Web based clustering tool using K-MEAN++ algorithm / Muhammad Nur Syazwanie Aznan
Published 2019“…Which is why this project objective is to develop a web based clustering tool using K-MEAN++ algorithm. …”
Get full text
Get full text
Thesis -
11
A Hybrid Approach For Web Search Result Clustering Based On Genetic Algorithm With K-means
Published 2024Get full text
journal::journal article -
12
Bat Algorithm for Complex Event Pattern Detection in Sentiment Analysis
Published 2021“…This algorithm mainly based on the echolocation behavior of bats. …”
Get full text
Get full text
Monograph -
13
Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
Get full text
Get full text
Thesis -
14
A hybrid bat–swarm algorithm for optimizing dam and reservoir operation
Published 2019Get full text
Get full text
Article -
15
An Interaction Strategy for Testing Software Product Lines using the Bat-inspired Algorithm
Published 2015Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
16
TBat: A Novel Strategy for Minimization of T-Way Interaction Test Suite Based on the Particle Swarm Optimization and the Bat Algorithm
Published 2016Get full text
Get full text
Conference or Workshop Item -
17
A Bat-inspired Strategy for Pairwise Testing
Published 2015Get full text
Get full text
Get full text
Article -
18
-
19
A Bat-inspired Strategy for T-Way Interaction Testing
Published 2015Get full text
Get full text
Get full text
Article -
20
Big Data Mining Using K-Means and DBSCAN Clustering Techniques
Published 2022“…Results obtained after pre-processing phase showed that the data quality will improve when the number of records reduced by (51.45). The density-based spatial clustering of applications with noise (DBSCAN) and the K-means algorithm were used to develop clustering algorithms. …”
Get full text
Get full text
Article
