Genetic Algorithms in Application to the Geometry Optimization of Nanoparticles
Applications of genetic algorithms to the global geometry optimization problem of nanoparticles are reviewed. Genetic operations are investigated and importance of phenotype genetic operations, considering the geometry of nanoparticles, are mentioned. Other efficiency improving developments such as...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2009-03-01
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| Series: | Algorithms |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1999-4893/2/1/410/ |
| _version_ | 1818919102999166976 |
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| author | Nazım Dugan Şakir Erkoç |
| author_facet | Nazım Dugan Şakir Erkoç |
| author_sort | Nazım Dugan |
| collection | DOAJ |
| description | Applications of genetic algorithms to the global geometry optimization problem of nanoparticles are reviewed. Genetic operations are investigated and importance of phenotype genetic operations, considering the geometry of nanoparticles, are mentioned. Other efficiency improving developments such as floating point representation and local relaxation are described broadly. Parallelization issues are also considered and a recent parallel working single parent Lamarckian genetic algorithm is reviewed with applications on carbon clusters and SiGe core-shell structures. |
| first_indexed | 2024-12-20T01:00:32Z |
| format | Article |
| id | doaj.art-611c4d4a11e94b78a3ff2dc743653dc0 |
| institution | Directory Open Access Journal |
| issn | 1999-4893 |
| language | English |
| last_indexed | 2024-12-20T01:00:32Z |
| publishDate | 2009-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj.art-611c4d4a11e94b78a3ff2dc743653dc02022-12-21T19:58:59ZengMDPI AGAlgorithms1999-48932009-03-012141042810.3390/a2010410Genetic Algorithms in Application to the Geometry Optimization of NanoparticlesNazım DuganŞakir ErkoçApplications of genetic algorithms to the global geometry optimization problem of nanoparticles are reviewed. Genetic operations are investigated and importance of phenotype genetic operations, considering the geometry of nanoparticles, are mentioned. Other efficiency improving developments such as floating point representation and local relaxation are described broadly. Parallelization issues are also considered and a recent parallel working single parent Lamarckian genetic algorithm is reviewed with applications on carbon clusters and SiGe core-shell structures.http://www.mdpi.com/1999-4893/2/1/410/Genetic algorithmsNanoparticlesAtomic clusters |
| spellingShingle | Nazım Dugan Şakir Erkoç Genetic Algorithms in Application to the Geometry Optimization of Nanoparticles Algorithms Genetic algorithms Nanoparticles Atomic clusters |
| title | Genetic Algorithms in Application to the Geometry Optimization of Nanoparticles |
| title_full | Genetic Algorithms in Application to the Geometry Optimization of Nanoparticles |
| title_fullStr | Genetic Algorithms in Application to the Geometry Optimization of Nanoparticles |
| title_full_unstemmed | Genetic Algorithms in Application to the Geometry Optimization of Nanoparticles |
| title_short | Genetic Algorithms in Application to the Geometry Optimization of Nanoparticles |
| title_sort | genetic algorithms in application to the geometry optimization of nanoparticles |
| topic | Genetic algorithms Nanoparticles Atomic clusters |
| url | http://www.mdpi.com/1999-4893/2/1/410/ |
| work_keys_str_mv | AT nazımdugan geneticalgorithmsinapplicationtothegeometryoptimizationofnanoparticles AT sakirerkoc geneticalgorithmsinapplicationtothegeometryoptimizationofnanoparticles |