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| Format: | Artículo científico |
| Language: | en |
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Instituto Politécnico Nacional
2011
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| Online Access: | https://www.redalyc.org/articulo.oa?id=402640456015 |
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| _version_ | 1866814984602779648 |
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| author | Juan Carlos Herrera-Lozada |
| author_facet | Juan Carlos Herrera-Lozada |
| contents | A Micro Artificial Immune System Juan Carlos Herrera-Lozada Hiram Calvo Hind Taud Computación micro algorithm numerical optimization Clonal selection theory Artificial immune system In this paper, we present a new algorithm, namely, a micro artificial immune system (Micro-AIS) based on the Clonal Selection Theory for solving numerical optimization problems. For our study, we consider the algorithm CLONALG, a widely used artificial immune system. During the process of cloning, CLONALG greatly increases the size of its population. We propose a version with reduced population. Our hypothesis is that reducing the number of individuals in a population will decrease the number of evaluations of the objective function, increasing the speed of convergence and reducing the use of data memory. Our proposal uses a population of 5 individuals (antibodies), from which only 15 clones are obtained. In the maturation stage of the clones, two simple and fast mutation operators are used in a nominal convergence that works together with a reinitialization process to preserve the diversity. To validate our algorithm, we use a set of test functions taken from the specialized literature to compare our approach with the standard version of CLONALG. The same method can be applied in many other problems, for example, in text processing. 2011 artículo científico 1870-9044 https://www.redalyc.org/articulo.oa?id=402640456015 en http://www.redalyc.org/revista.oa?id=4026 Polibits application/pdf Instituto Politécnico Nacional Polibits (México) Vol.43 |
| format | Artículo científico |
| id | redalyc_402640456015 |
| language | en |
| publishDate | 2011 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | A Micro Artificial Immune System Juan Carlos Herrera-Lozada Computación micro algorithm numerical optimization Clonal selection theory Artificial immune system A Micro Artificial Immune System Juan Carlos Herrera-Lozada Hiram Calvo Hind Taud Computación micro algorithm numerical optimization Clonal selection theory Artificial immune system In this paper, we present a new algorithm, namely, a micro artificial immune system (Micro-AIS) based on the Clonal Selection Theory for solving numerical optimization problems. For our study, we consider the algorithm CLONALG, a widely used artificial immune system. During the process of cloning, CLONALG greatly increases the size of its population. We propose a version with reduced population. Our hypothesis is that reducing the number of individuals in a population will decrease the number of evaluations of the objective function, increasing the speed of convergence and reducing the use of data memory. Our proposal uses a population of 5 individuals (antibodies), from which only 15 clones are obtained. In the maturation stage of the clones, two simple and fast mutation operators are used in a nominal convergence that works together with a reinitialization process to preserve the diversity. To validate our algorithm, we use a set of test functions taken from the specialized literature to compare our approach with the standard version of CLONALG. The same method can be applied in many other problems, for example, in text processing. 2011 artículo científico 1870-9044 https://www.redalyc.org/articulo.oa?id=402640456015 en http://www.redalyc.org/revista.oa?id=4026 Polibits application/pdf Instituto Politécnico Nacional Polibits (México) Vol.43 |
| title | A Micro Artificial Immune System |
| topic | Computación micro algorithm numerical optimization Clonal selection theory Artificial immune system |
| url | https://www.redalyc.org/articulo.oa?id=402640456015 |