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Titlebook: Soft Computing in Industrial Applications; Recent and Emerging Ashraf Saad,Keshav Dahal,Rajkumar Roy Conference proceedings 2007 Springer-

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Comparison of PSO-Based Optimized Feature Computation for Automated Configuration of Multi-sensor Sy a significant part of the overall system architecture still has to be manually elaborated in a tedious and time consuming process by an experienced designer. Clearly, an automatic method for auto-configuration of sensor systems would be salient. In this paper, we contribute to the optimization of t
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Differential Evolution for the Registration of Remotely Sensed Imagesinding the most suitable affine transformation in terms of maximization of the mutual information between the first image and the transformation of the second one, without any need for setting control points. A comparison is effected against a publicly available tool, showing the effectiveness of our method.
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Stability Analysis of the Simplest Takagi-Sugeno Fuzzy Control System Using Popov Criterionmplest T-S fuzzy control system. Since this sufficient condition is presented in the frequency do-main, it is of great significance in designing the simplest T-S fuzzy controller in the frequency domain.
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Hybrid Dynamic Systems in an Industry Design Application the underlying hybrid dynamic system computational representation are presented and it is shown how these elements combine to form different classes of behaviors that need to be handled for simulation.
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Identification of an Experimental Process by B-Spline Neural Network Using Improved Differential Evoobustness. In this paper, we propose a modified DE using chaotic sequence based on logistic map to train a BSNN. The numerical results presented here indicate that the chaotic DE is effective in building a good BSNN model for nonlinear identification of an experimental nonlinear yo-yo motion control system.
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