Archivo:PRESENTACION SOCO2013 Eloy Irigoyen.pdf

De Grupo de Inteligencia Computacional (GIC)
Revisión del 08:55 17 oct 2013 de Eloy.irigoyen (discusión | contribs.) (This paper presents an approach to merge three elements that are usually not thought to be combined together in one application: evolutionary computing running on reasonably priced microcontrollers for real-time fast control systems. A Multi Objective Gen)
(difs.) ← Revisión anterior | Revisión actual (difs.) | Revisión siguiente → (difs.)

PRESENTACION_SOCO2013_Eloy_Irigoyen.pdf(tamaño de archivo: 1,49 MB; tipo MIME: application/pdf)

This paper presents an approach to merge three elements that are usually not thought to be combined together in one application: evolutionary computing running on reasonably priced microcontrollers for real-time fast control systems. A Multi Objective Genetic Algorithm (MOGA) is implemented on a 180 MHz microcontroller. Performance and the influence of a variety of factors are discussed. The results open a whole new spectrum of applications with great potential to benefit from multivariable and multiobjective intelligent control methods in which the hybridization of different soft-computing techniques could be present. The main contribution of this paper is to prove that advanced soft-computing techniques are a feasible solution to be implemented on reasonably priced microcontroller based embedded platforms and to propose application concepts which can take advantage of this possibility.

Historial del archivo

Haz clic sobre una fecha y hora para ver el archivo tal como apareció en ese momento.

Fecha y horaDimensionesUsuarioComentario
actual08:55 17 oct 2013 (1,49 MB)Eloy.irigoyen (discusión | contribs.)This paper presents an approach to merge three elements that are usually not thought to be combined together in one application: evolutionary computing running on reasonably priced microcontrollers for real-time fast control systems. A Multi Objective Gen

No hay páginas que enlacen a este archivo.