Titlebook: Soft Computing Models in Industrial and Environmental Applications; 7th International Co Václav Snášel,Ajith Abraham,Emilio S. Corchado Con

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Optimization of the Batch Reactor by Means of Chaos Driven Differential Evolution,otic dissipative standard map is used as the chaotic number generator to drive the mutation and crossover process in DE. The results obtained are compared with original reactor geometry and process parameters adjustment.

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Multi-Objective Differential Evolution on the GPU with C-CUDA,ry solution after running for a considerable amount of time. One possible improvement is a parallel approach to reduce the response time. This work proposes to study a parallel multi-objective algorithm, the multi-objective version of Differential Evolution (DE). The generation of trial individuals

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Differential Evolution and Perceptron Decision Trees for Fault Detection in Power Transformers,n of a transformer based on its chromatography data. It is a useful problem formulation as its solution makes it possible to repair the transformer with less expenditure given that a correct classification of the equipment status is available. In this paper, we propose a Differential Evolution algor

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Multiobjective Pareto Ordinal Classification for Predictive Microbiology,oblems in predictive microbiology. Ordinal classification problems are those ones where there is order between the classes because of the nature of the problem. Ordinal classification algorithms may take advantage of this situation to improve its classification. To guide the MOEA, two non-cooperativ

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Evaluation of Novel Soft Computing Methods for the Prediction of the Dental Milling Time-Error Para for the prediction of the error parameter between real dental milling time and forecast given by the dental milling machine. In this study a real data set obtained by a dynamic machining center with five axes simultaneously is analyzed to empirically test the novel system in order to optimize the t

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