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Stochastic global optimization methods. I: Clustering methods. (English) Zbl 0634.90066
Summary: In this stochastic approach to global optimization, clustering techniques are applied to identify local minima of a real valued objective function that are potentially global. Three different methods of this type are described; their accuracy and efficiency are analyzed in detail.

90C30 Nonlinear programming
65K05 Numerical mathematical programming methods
Full Text: DOI
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