| Journal: | Journal of applied research and technology |
| Database: | PERIÓDICA |
| System number: | 000395110 |
| ISSN: | 1665-6423 |
| Authors: | Miralvand, M1 Rasoolzadeh, S1 Majidi, M1 |
| Institutions: | 1Islamic Azad University, Department of Computer Engineering, Malayer. Irán |
| Year: | 2015 |
| Season: | Ago |
| Volumen: | 13 |
| Number: | 4 |
| Pages: | 477-481 |
| Country: | México |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Aplicado, descriptivo |
| English abstract | Artificial immune systems that have been inspired from organic immune systems, have drawn many attentions in recent years (and have been considered) as an evolutionary algorithm, and have been applied in different papers. This algorithm can be used in two different areas of optimization and classification. In this paper, an artificial immune algorithm has been applied in optimization problem. In particular, artificial immune systems have been used for computing the mapping matrices and improving features. Comparison of results of proposed method with other preprocessing methods shows the superiority of the proposed method so that in 90% of cases it has the best performance based on different measures. Evaluation measures are including classification rate, variance and compression measure |
| Disciplines: | Ciencias de la computación |
| Keyword: | Procesamiento de datos, Sistemas inmunes artificiales, Problemas de optimización, Algoritmos evolutivos |
| Keyword: | Computer science, Data processing, Artificial immune systems, Optimization problems, Evolutionary algorithms |
| Full text: | Texto completo (Ver HTML) |
