STOCHASTIC GLOBAL OPTIMIZATION METHODS PART II: MULTI LEVEL METHODS

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

No 272330, Econometric Institute Archives from Erasmus University Rotterdam

Abstract: In Part II of this paper, two stochastic methods for global optimization are described that, with probability 1, find all relevant local minima of the objective function with the smallest possible number of local searches. The computational performance of these methods is examined both analytically and empirically.

Keywords: Agricultural and Food Policy; Research Methods/Statistical Methods (search for similar items in EconPapers)
Pages: 35
Date: 1985
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:ags:eureia:272330

DOI: 10.22004/ag.econ.272330

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