An experimental analysis of a population based approach for global optimization |
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Authors: | Andrea Grosso Marco Locatelli Fabio Schoen |
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Affiliation: | (1) Dip. Informatica, Università di Torino, Torino, Italy;(2) Dip. Sistemi e Informatica, Università di Firenze, Firenze, Italy |
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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 ). The experimental analysis aims at understanding more deeply how the approach works and why it is successful on challenging problems. |
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Keywords: | Global optimization Population based approaches Dissimilarity measures |
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