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Titlebook: KI 2005: Advances in Artificial Intelligence; 28th Annual German C Ulrich Furbach Conference proceedings 2005 Springer-Verlag Berlin Heidel

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Noise Robustness by Using Inverse Mutationss superior performance in comparison to contemporary evolution strategies. But the theoretical analysis also indicates a noticeable performance loss in the presence of noise (i.e., noisy fitness evaluations). This paper aims at understanding the reasons for this observable performance loss. It also
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Development of Flexible and Adaptable Fault Detection and Diagnosis Algorithm for Induction Motors Btion models with current signals. Energy values were calculated from transformed signals by wavelet and distribution of the energy values for each detail was used in comparing similarity. The appropriate details could be selected by the fuzzy similarity measure. Through the similarity measure, featu
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Design of Optimal Power Distribution Networks Using Multiobjective Genetic Algorithmective is to find out the best power distribution network reliability while simultaneously minimizing the system expansion costs. To save an important CPU time, the constraints are to be decomposing into active constraints and passives ones. The active constraints are the parameters which enter dire
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/k/image/541634.jpg
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