A parallel evolutionary algorithm applied to the minimum interference frequency assignment problem
This article presents the application of a Parallel Evolutionary Algorithm to solve the Minimum Interference Frequency Assignment Problem (MI-FAP). This is a capital problem in the mobile telecommunication field, which proposes to find an assignation of a set of frequencies to minimize the communica...
| Autores principales: | , , , |
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| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2006
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| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/22625 |
| Aporte de: |
| id |
I19-R120-10915-22625 |
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| record_format |
dspace |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Inglés |
| topic |
Ciencias Informáticas minimum interference frequency assignment problem Parallel algorithms Cellular architecture (e.g., mobile) |
| spellingShingle |
Ciencias Informáticas minimum interference frequency assignment problem Parallel algorithms Cellular architecture (e.g., mobile) Mora, Gerardo Perfumo, Cristian Rojas, Lucas Nesmachnow, Sergio A parallel evolutionary algorithm applied to the minimum interference frequency assignment problem |
| topic_facet |
Ciencias Informáticas minimum interference frequency assignment problem Parallel algorithms Cellular architecture (e.g., mobile) |
| description |
This article presents the application of a Parallel Evolutionary Algorithm to solve the Minimum Interference Frequency Assignment Problem (MI-FAP). This is a capital problem in the mobile telecommunication field, which proposes to find an assignation of a set of frequencies to minimize the communication interference. MI-FAP is a NP-Complete optimization problem; so traditional exact algorithms are useless for solving real-life problem instances in reasonable execution times.
This work proposes to use a metaheuristic approach to find good quality solutions for real-life MIFAP instances never faced before using Evolutionary Algorithms. Evaluation experiments performed on those real-life instances report promising numerical results for both serial and parallel models of the algorithm proposed. In addition, the parallel version shows high levels of computational efficiency, demonstrating a superlinear speedup behavior for the instances studied |
| format |
Objeto de conferencia Objeto de conferencia |
| author |
Mora, Gerardo Perfumo, Cristian Rojas, Lucas Nesmachnow, Sergio |
| author_facet |
Mora, Gerardo Perfumo, Cristian Rojas, Lucas Nesmachnow, Sergio |
| author_sort |
Mora, Gerardo |
| title |
A parallel evolutionary algorithm applied to the minimum interference frequency assignment problem |
| title_short |
A parallel evolutionary algorithm applied to the minimum interference frequency assignment problem |
| title_full |
A parallel evolutionary algorithm applied to the minimum interference frequency assignment problem |
| title_fullStr |
A parallel evolutionary algorithm applied to the minimum interference frequency assignment problem |
| title_full_unstemmed |
A parallel evolutionary algorithm applied to the minimum interference frequency assignment problem |
| title_sort |
parallel evolutionary algorithm applied to the minimum interference frequency assignment problem |
| publishDate |
2006 |
| url |
http://sedici.unlp.edu.ar/handle/10915/22625 |
| work_keys_str_mv |
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Repositorios |
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