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An experimental analysis of a population based approach for global optimization
Authors:Andrea Grosso  Marco Locatelli  Fabio Schoen
Affiliation:(1) Dip. Informatica, Università di Torino, Torino, Italy;(2) Dip. Sistemi e Informatica, Università di Firenze, Firenze, Italy
Abstract:In this paper we perform a computational analysis of a population based approach for global optimization, Population Basin Hopping (PBH), which was proven to be very efficient on very challenging global optimization problems by the authors (see ). The experimental analysis aims at understanding more deeply how the approach works and why it is successful on challenging problems.
Keywords:Global optimization  Population based approaches  Dissimilarity measures
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