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Convergence analysis of hybrid cellular automata for topology optimization

✍ Scribed by C. L. Penninger; L. T. Watson; A. Tovar; J. E. Renaud


Publisher
Springer-Verlag
Year
2009
Tongue
English
Weight
351 KB
Volume
40
Category
Article
ISSN
1615-1488

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The algorithm for quadratic global optimization performed by a cellular neural network (CNN) with a slowly varying slope of the output characteristic (see References 1 and 2) is analysed. It is shown that the only CNN which ΓΏnds the global minimum of a quadratic function for any values of the input