STOCHASTIC GLOBAL OPTIMIZATION METHODS PART I: CLUSTERING METHODS

A. H. G. Rinnooy Kan and G. T. Timmer

No 272329, Econometric Institute Archives from Erasmus University Rotterdam

Abstract: 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.

Keywords: Agricultural and Food Policy; Research Methods/Statistical Methods (search for similar items in EconPapers)
Pages: 49
Date: 1985
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:ags:eureia:272329

DOI: 10.22004/ag.econ.272329

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