Heuristic for solving the multiple alignment sequence problem
In this paper we developed a new algorithm for solving the problem of multiple sequence alignment (AMS), which is a hybrid metaheuristic based on harmony search and simulated annealing. The hybrid was validated with the methodology of Julie Thompson. This is a basic algorithm and and results obtaine...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2011 |
| País: | Costa Rica |
| Institución: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| Idioma: | español |
| OAI Identifier: | oai:portal.ucr.ac.cr:article/2118 |
| Acceso en línea: | https://revistas.ucr.ac.cr/index.php/matematica/article/view/2118 |
| Access Level: | acceso abierto |
| Palabra clave: | multiple sequence alignment harmony search hybrid metaheuristic simulated annealing alineamiento múltiple de secuencias búsqueda de la armonía metaheurística híbrida recocido simulado |
| Sumario: | In this paper we developed a new algorithm for solving the problem of multiple sequence alignment (AMS), which is a hybrid metaheuristic based on harmony search and simulated annealing. The hybrid was validated with the methodology of Julie Thompson. This is a basic algorithm and and results obtained during this stage are encouraging. |
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