Título
A structure-based coarse-fine approach for diversity tuning in cellular GAs
Autor
ALICIA MORALES REYES
Ahmet Erdogan
Nivel de Acceso
Acceso Abierto
Materias
Evolutionary computation - (EVOLUTIONARY COMPUTATION) Genetic algorithms - (GENETIC ALGORITHMS) Parallel algorithms - (PARALLEL ALGORITHMS) Optimization - (OPTIMIZATION) Adaptive algorithm - (ADAPTIVE ALGORITHM) CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA - (CTI) MATEMÁTICAS - (CTI) CIENCIA DE LOS ORDENADORES - (CTI) CIENCIA DE LOS ORDENADORES - (CTI)
Resumen o descripción
This article empirically assesses a coarse-fine approach for diversity tuning in cellular Genetic Algorithms (cGAs). The coarse tuning is performed through the constant reconfiguration of the grid while the fine tuning is locally achieved through dynamic anisotropic selection which considers individuals' locations in the local neighborhood. Benchmark problems including continuous, real-world and combinatorial problems are evaluated. The experimental results show an improvement in cGAs performance when compared to having a fixed topology configuration or to independently applying dynamic lattice reconfiguration or dynamic anisotropic.
Editor
Advances in Electrical and Computer Engineering
Fecha de publicación
2012
Tipo de publicación
Artículo
Versión de la publicación
Versión aceptada
Recurso de información
Formato
application/pdf
Idioma
Inglés
Relación
&
Erdogan-Ahmet,T. (2012). A structure-based coarse-fine approach for diversity tuning in cellular GAs, Advances in Electrical and Computer Engineering, Vol. 12 (3): 39-46
Audiencia
Estudiantes
Investigadores
Público en general
Sugerencia de citación
Morales-Reyes, A.
Repositorio Orígen
Repositorio Institucional del INAOE
Descargas
260