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The Multi Level Single Linkage Method For Unconstrained And Constrained Global Optimization

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  • Rinnooy Kan, A. H. G.
  • Timmer, G. T.

Abstract

The more successful methods for unconstrained global optimization of an arbitrary multimodal objective function are of a stochastic nature and involve a combination of sampling and local search techniques. In this class, the recently developed Multi Level Single Linkage method combines attractive theoretical properties with excellent computational properties. We describe this method below, and discuss its computational behaviour and its extension to constrained global optimization.

Suggested Citation

  • Rinnooy Kan, A. H. G. & Timmer, G. T., 1985. "The Multi Level Single Linkage Method For Unconstrained And Constrained Global Optimization," Econometric Institute Archives 272327, Erasmus University Rotterdam.
    • Handle: RePEc:ags:eureia:272327
    DOI: 10.22004/ag.econ.272327
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    References listed on IDEAS

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    1. Rinnooy Kan, A. H. G. & Timmer, G. T., 1985. "Stochastic Global Optimization Methods Part Ii: Multi Level Methods," Econometric Institute Archives 272330, Erasmus University Rotterdam.
    2. Rinnooy Kan, A. H. G. & Timmer, G. T., 1985. "Stochastic Global Optimization Methods Part I: Clustering Methods," Econometric Institute Archives 272329, Erasmus University Rotterdam.
    3. Boender, C. G. E. & Rinnooy Kan, A. H. G., 1983. "Bayesian Stopping Rules For A Class Of Stochastic Global Optimization Methods," Econometric Institute Archives 272278, Erasmus University Rotterdam.
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    1. Boender, C. G. E. & Rinnooy Kan, A. H. G., 1985. "Bayesian Stopping Rules For Multistart Global Optimization Methods," Econometric Institute Archives 272326, Erasmus University Rotterdam.
    2. Rinnooy Kan, A. H. G. & Timmer, G. T., 1985. "Stochastic Global Optimization Methods Part I: Clustering Methods," Econometric Institute Archives 272329, Erasmus University Rotterdam.

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