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http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/1897| A structure-based coarse-fine approach for diversity tuning in cellular GAs | |
| ALICIA MORALES REYES Ahmet Erdogan | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| Evolutionary computation Genetic algorithms Parallel algorithms Optimization Adaptive algorithm | |
| 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. | |
| Advances in Electrical and Computer Engineering | |
| 2012 | |
| Artículo | |
| Inglés | |
| Estudiantes Investigadores Público en general | |
| Morales-Reyes, A. & 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 | |
| CIENCIA DE LOS ORDENADORES | |
| Versión aceptada | |
| acceptedVersion - Versión aceptada | |
| Aparece en las colecciones: | Artículos de Ciencias Computacionales |
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