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Titlebook: Adaptive Computing in Design and Manufacture VI; I. C. Parmee Conference proceedings 2004 Springer-Verlag London 2004 Adaptive Computing.C

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https://doi.org/10.1007/978-0-387-09843-2fore be characterized by their computational cost, flexibility and accuracy. Two example problems are used to highlight the methods and their advantages. The use of measures of variation in responses is carried forward to be included in multi-objective optimization, so that robustness is naturally considered as a design objective.
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Tobias A. Oelschlaeger,Jörg Hackerom the test stage of the manufacturing process. To accomplish this task, a filtering algorithm is also implemented able to discard those wafermaps without pattern. This paper reports satisfactory results showing that the proposed system can recognised defect spatial patterns with a 82% correct e-binmap classification rate.
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ntThe Adaptive Computing in Design and Manufacture conference series has become a well-established, largely application-oriented meeting recognised by several UK Engineering Institutions and the International Society of Genetic and Evolutionary Computing. The main theme of the series relates to the
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https://doi.org/10.1007/978-1-4757-1140-0novation. We model problem formulation and implement the resulting strategy through a pair of cognitive agents. The agents are situated within a larger framework which provides access to a wealth of resources. The approach supports innovation in design by freeing the designer to focus on creative aspects.
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