| Revista: | Polibits |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000358986 |
| ISSN: | 1870-9044 |
| Autores: | Moreira, Renato Simoes1 Teixeira, Otavio Noura2 Oliveira, Roberto Celio Limao de1 |
| Instituciones: | 1Universidade Federal do Para, Belem, Para. Brasil 2Centro Universitario do Para, Laboratorio de Computacao Natural, Belem, Para. Brasil |
| Año: | 2010 |
| Periodo: | Jul-Dic |
| Número: | 42 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Analítico, descriptivo |
| Resumen en inglés | This paper describes the development of a new hybrid meta–heuristic of optimization based on a viral lifecycle, specifically the retroviruses (the nature's swiftest evolvers), called Retroviral Iterative Genetic Algorithm (RIGA). This algorithm uses Genetics Algorithms (GA) structures with features of retroviral replication, providing a great genetic diversity, confirmed by better results achieved by RIGA comparing with GA applied to some Real–Valued Benchmarking Functions |
| Disciplinas: | Ciencias de la computación, Biología |
| Palabras clave: | Programación, Virus, Computación evolutiva, Replicación viral, Algoritmos genéticos, Retrovirus, Metaheurísticas |
| Keyword: | Computer science, Biology, Programming, Virus, Evolutive computing, Viral replication, Genetic algorithms, Retrovirus, Metaheuristics |
| Texto completo: | Texto completo (Ver HTML) |
