Using Genetic Algorithms for Building Metrics of Collaborative Systems
he paper objective is to reveal the importance of genetic algorithms in building robust metrics of collaborative systems. The main types of collaborative systems in economy are presented and some characteristics of genetic algorithms are described. A genetic algorithm was implemented in order to det...
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| Format: | Article |
| Language: | English |
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Inforec Association
2011-01-01
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| Series: | Informatică economică |
| Subjects: | |
| Online Access: | http://www.revistaie.ase.ro/content/57/07%20-%20Ciurea.pdf |
| _version_ | 1818472947060310016 |
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| author | Cristian CIUREA |
| author_facet | Cristian CIUREA |
| author_sort | Cristian CIUREA |
| collection | DOAJ |
| description | he paper objective is to reveal the importance of genetic algorithms in building robust metrics of collaborative systems. The main types of collaborative systems in economy are presented and some characteristics of genetic algorithms are described. A genetic algorithm was implemented in order to determine the local maximum and minimum points of the relative complexity function associated to a collaborative banking system. The intelligent collaborative systems based on genetic algorithms, representing the new generation of collaborative systems, are analyzed and the implementation of auto-adaptive interfaces in a banking application is described. |
| first_indexed | 2024-04-14T04:14:49Z |
| format | Article |
| id | doaj.art-02cdb18bf6b64f5eae31a2e35f97477c |
| institution | Directory Open Access Journal |
| issn | 1453-1305 1842-8088 |
| language | English |
| last_indexed | 2024-04-14T04:14:49Z |
| publishDate | 2011-01-01 |
| publisher | Inforec Association |
| record_format | Article |
| series | Informatică economică |
| spelling | doaj.art-02cdb18bf6b64f5eae31a2e35f97477c2022-12-22T02:12:55ZengInforec AssociationInformatică economică1453-13051842-80882011-01-011518091Using Genetic Algorithms for Building Metrics of Collaborative SystemsCristian CIUREAhe paper objective is to reveal the importance of genetic algorithms in building robust metrics of collaborative systems. The main types of collaborative systems in economy are presented and some characteristics of genetic algorithms are described. A genetic algorithm was implemented in order to determine the local maximum and minimum points of the relative complexity function associated to a collaborative banking system. The intelligent collaborative systems based on genetic algorithms, representing the new generation of collaborative systems, are analyzed and the implementation of auto-adaptive interfaces in a banking application is described.http://www.revistaie.ase.ro/content/57/07%20-%20Ciurea.pdfCollaborative SystemsGenetic AlgorithmsMetricsBankingAuto-Adaptive Interfaces |
| spellingShingle | Cristian CIUREA Using Genetic Algorithms for Building Metrics of Collaborative Systems Informatică economică Collaborative Systems Genetic Algorithms Metrics Banking Auto-Adaptive Interfaces |
| title | Using Genetic Algorithms for Building Metrics of Collaborative Systems |
| title_full | Using Genetic Algorithms for Building Metrics of Collaborative Systems |
| title_fullStr | Using Genetic Algorithms for Building Metrics of Collaborative Systems |
| title_full_unstemmed | Using Genetic Algorithms for Building Metrics of Collaborative Systems |
| title_short | Using Genetic Algorithms for Building Metrics of Collaborative Systems |
| title_sort | using genetic algorithms for building metrics of collaborative systems |
| topic | Collaborative Systems Genetic Algorithms Metrics Banking Auto-Adaptive Interfaces |
| url | http://www.revistaie.ase.ro/content/57/07%20-%20Ciurea.pdf |
| work_keys_str_mv | AT cristianciurea usinggeneticalgorithmsforbuildingmetricsofcollaborativesystems |