An experimental analysis of a population based approach for global optimization

Authors:
Andrea Grosso;Marco Locatelli;Fabio Schoen
Affiliations:
Dip. Informatica, Università di Torino, Torino, Italy;Dip. Informatica, Università di Torino, Torino, Italy;Dip. Sistemi e Informatica, Università di Firenze, Firenze, Italy
Venue:
Computational Optimization and Applications
Year:
2007

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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 http://www.optimization-online.org/DB_HTML/2005/02/1056.html ). The experimental analysis aims at understanding more deeply how the approach works and why it is successful on challenging problems.