Título inglés |
The use of fuzzy connectives to design real-coded genetic algorithms. |
Título español |
El uso de conectivos difusos en el diseño de algoritmos genéticos con codificación real. |
Autor/es |
Herrera, Francisco ; Lozano, Manuel ; Verdegay, José Luis |
Organización |
Dep. Cienc. Comput. Int. Artif. Fac. Cienc. Secc. Mat. Univ. Granada, Granada, España |
Revista |
1134-5632 |
Publicación |
1994, 1 (3): 239-251, 17 Ref. |
Tipo de documento |
articulo |
Idioma |
Inglés |
Resumen inglés |
Genetic algorithms are adaptive methods that use principles inspired by natural population genetics to evolve solutions to search and optimization problems. Genetic algorithms process a population of search space solutions with three operations: selection, crossover and mutation. A great problem in the use of genetic algorithms is premature convergence; the search becomes trapped in a local optimum before the global optimum is found. Fuzzy logic techniques may be used for solving this problem. This paper presents one of them: the design of crossover operators for real-coded genetic algorithms using fuzzy connectives and its extension based on the use of parameterized fuzzy connectives as tools for tackling the premature convergence problem. |
Clasificación UNESCO |
120904 |
Palabras clave español |
Algoritmos genéticos ; Lógica difusa ; Código genético ; Procesos de decisión |
Código Z-Math |
Zbl 0833.68054 |
Acceso al artículo completo |