A Genetic Algorithm Based Clustering Optimization A Survey
Genetic algorithm has an important role in improving clustering methods. When it comes to getting into a dataset, one of the most common methods used is clustering. Recent years have seen a rise in the number of articles interested in clustering, which may be attributed to the development of variou...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Faculty of Computer Science and Mathematics, University of Kufa
2023-03-01
|
| Series: | Journal of Kufa for Mathematics and Computer |
| Subjects: | |
| Online Access: | https://journal.uokufa.edu.iq/index.php/jkmc/article/view/11909 |
| _version_ | 1797756483814817792 |
|---|---|
| author | Rawaa Nadhum Saeed Mahdi Abed Salman Muhammed Abaid Mahdi |
| author_facet | Rawaa Nadhum Saeed Mahdi Abed Salman Muhammed Abaid Mahdi |
| author_sort | Rawaa Nadhum Saeed |
| collection | DOAJ |
| description |
Genetic algorithm has an important role in improving clustering methods. When it comes to getting into a dataset, one of the most common methods used is clustering. Recent years have seen a rise in the number of articles interested in clustering, which may be attributed to the development of various new fields of application. Most clustering method's performance depends on initial values of parameters or the preprocessing of a dataset, so clustering needs to optimize. The improvement of clustering in two directions, either we improve the parameters or improve the input data. Ga is an evolutionary technique well-known in optimization. This survey deals with the methods that use a genetic algorithm to choose parameter values and input data. This study shows many important performance metrics used to get the optimal result in each research.
|
| first_indexed | 2024-03-12T18:02:07Z |
| format | Article |
| id | doaj.art-1b3b2424d3c748ddb8b7728fc8c7ada3 |
| institution | Directory Open Access Journal |
| issn | 2076-1171 2518-0010 |
| language | English |
| last_indexed | 2024-03-12T18:02:07Z |
| publishDate | 2023-03-01 |
| publisher | Faculty of Computer Science and Mathematics, University of Kufa |
| record_format | Article |
| series | Journal of Kufa for Mathematics and Computer |
| spelling | doaj.art-1b3b2424d3c748ddb8b7728fc8c7ada32023-08-02T09:35:42ZengFaculty of Computer Science and Mathematics, University of KufaJournal of Kufa for Mathematics and Computer2076-11712518-00102023-03-0110110.31642/JoKMC/2018/100105A Genetic Algorithm Based Clustering Optimization A Survey Rawaa Nadhum Saeed0Mahdi Abed Salman1Muhammed Abaid Mahdi2university babylonUniversity of BabylonUniversity of Babylon Genetic algorithm has an important role in improving clustering methods. When it comes to getting into a dataset, one of the most common methods used is clustering. Recent years have seen a rise in the number of articles interested in clustering, which may be attributed to the development of various new fields of application. Most clustering method's performance depends on initial values of parameters or the preprocessing of a dataset, so clustering needs to optimize. The improvement of clustering in two directions, either we improve the parameters or improve the input data. Ga is an evolutionary technique well-known in optimization. This survey deals with the methods that use a genetic algorithm to choose parameter values and input data. This study shows many important performance metrics used to get the optimal result in each research. https://journal.uokufa.edu.iq/index.php/jkmc/article/view/11909Parallel computingDestributed networkGenetic algorithmOptimization method |
| spellingShingle | Rawaa Nadhum Saeed Mahdi Abed Salman Muhammed Abaid Mahdi A Genetic Algorithm Based Clustering Optimization A Survey Journal of Kufa for Mathematics and Computer Parallel computing Destributed network Genetic algorithm Optimization method |
| title | A Genetic Algorithm Based Clustering Optimization A Survey |
| title_full | A Genetic Algorithm Based Clustering Optimization A Survey |
| title_fullStr | A Genetic Algorithm Based Clustering Optimization A Survey |
| title_full_unstemmed | A Genetic Algorithm Based Clustering Optimization A Survey |
| title_short | A Genetic Algorithm Based Clustering Optimization A Survey |
| title_sort | genetic algorithm based clustering optimization a survey |
| topic | Parallel computing Destributed network Genetic algorithm Optimization method |
| url | https://journal.uokufa.edu.iq/index.php/jkmc/article/view/11909 |
| work_keys_str_mv | AT rawaanadhumsaeed ageneticalgorithmbasedclusteringoptimizationasurvey AT mahdiabedsalman ageneticalgorithmbasedclusteringoptimizationasurvey AT muhammedabaidmahdi ageneticalgorithmbasedclusteringoptimizationasurvey AT rawaanadhumsaeed geneticalgorithmbasedclusteringoptimizationasurvey AT mahdiabedsalman geneticalgorithmbasedclusteringoptimizationasurvey AT muhammedabaidmahdi geneticalgorithmbasedclusteringoptimizationasurvey |