Archivo:PRESENTACION SOCO2013 Eloy Irigoyen.pdf

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.

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actual08:55 17 oct 2013 (1,49 MB)Eloy.irigoyen (Discusión | contribuciones)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
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