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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actual | 09:55 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 |
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