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- W13291228 abstract "This paper presents an approach to merge three elements that are usually not thought to be combined in one application: evolutionary computing running on reasonably priced microcontrollers (μC) for real-time fast control systems. A Multi Objective Genetic Algorithm (MOGA) is implemented on a 180MHz μC.A fourth element, a Neural Network (NN) for supporting the evaluation function by predicting the response of the controlled system, is also implemented. Computational 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 μC -based embedded platforms." @default.
- W13291228 created "2016-06-24" @default.
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- W13291228 date "2014-01-01" @default.
- W13291228 modified "2023-10-16" @default.
- W13291228 title "Microcontroller Implementation of a Multi Objective Genetic Algorithm for Real-Time Intelligent Control" @default.
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- W13291228 doi "https://doi.org/10.1007/978-3-319-01854-6_8" @default.
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