A Peek into the Swarm: Analysis of the Gravitational Search Algorithm and Recommendations for Parameter Selection
- The Gravitational Search Algorithm is a swarm-based optimization metaheuristic that has been successfully applied to many problems. However, to date little analytical work has been done on this topic. This paper performs a mathematical analysis of the formulae underlying the Gravitational Search Algorithm. From this analysis, it derives key properties of the algorithm's expected behavior and recommendations for parameter selection. It then confirms through empirical examination that these recommendations are sound.
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| Author: | Florian Knauf, Ralf BrunsGND |
|---|---|
| URN: | urn:nbn:de:bsz:960-opus4-15078 |
| DOI: | https://doi.org/10.25968/opus-1507 |
| DOI original: | https://doi.org/10.1145/3321707.3321774 |
| ISBN: | 978-1-4503-6111-8 |
| Parent Title (English): | GECCO'19: Proceedings of the 2019 Genetic and Evolutionary Computation Conference, Prague, Czech Republic — July 13 - 17, 2019 |
| Publisher: | The Assiciation for Computing Machinery (ACM) |
| Place of publication: | New York |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Completion: | 2019 |
| Release Date: | 2019/11/07 |
| Tag: | Swarm Intelligence |
| GND Keyword: | Schwarmintelligenz |
| First Page: | 30 |
| Last Page: | 38 |
| Note: | The source code for the experiments in this paper can be found at https://github.com/fknauf/gsa-a-peek-into-the-swarm . |
| Link to catalogue: | 1689757477 |
| Institutes: | Fakultät IV - Wirtschaft und Informatik |
| DDC classes: | 004 Informatik |
| Licence (German): |  Urheberrechtlich geschützt |
