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In view of low precision and low auto-adapted ability in traditional desulphurization control model, according to the mechanism of hot metal desulphurization process, the RBF nerve network desulphurization agent quantum model based on rough set and genetic algorithm is introduced. This model uses rough set to clean modeling data, uses genetic algorithm to select RBF network structure, and then introduces...
The main objective of this paper is to study the remanufacturing logistics network design problem from third party logistics supplier (3PLS)' perspectives under the uncertain environment. In order to mitigate the potential risks we described the uncertainty of the remanufacturing logistics activities during the procedure of constructing the reverse logistics networks for 3PLS' customers. Therefore,...
Noises widely exist in interactive genetic algorithms. However, there is no effective method to solve this problem up to now. There are two kinds of noises, one is the noise existing in visual systems and the other is resulted from user's preference mechanisms. Characteristics of the two noises are presented aiming at the application of interactive genetic algorithms in dealing with images. The evolutionary...
An approach to construct interpretable and precise fuzzy models from data is proposed. Interpretability, which is one of the most important features of fuzzy models, is analyzed first. Then a modified fuzzy clustering algorithm, combined with the least square method, is used to identify the initial fuzzy model. Third, the multi-objective genetic algorithm and interpretability-driven simplification...
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