On a population sizing model for evolution strategies optimizing the highly multimodal rastrigin function
- A model is presented that allows for the calculation of the success probability by which a vanilla Evolution Strategy converges to the global optimizer of the Rastrigin test function. As a result a population size scaling formula will be derived that allows for an estimation of the population size needed to ensure a high convergence security depending on the search space dimensionality.
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| Author: | Lisa Schönenberger, Hans-Georg Beyer |
|---|---|
| DOI: | https://doi.org/10.1145/3583131.3590451 |
| ISBN: | 979-8-4007-0119-1 |
| Parent Title (English): | GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference. July 15–19, 2023, Lisbon, Portugal. |
| Publisher: | ACM |
| Place of publication: | New York, NY, USA |
| Document Type: | Article |
| Language: | English |
| Year of publication: | 2023 |
| Release Date: | 2023/10/31 |
| Tag: | Evolution Strategies; global convergence; global optimization; multi-modal objective function; population sizing |
| Number of pages: | 8 |
| First Page: | 848 |
| Last Page: | 855 |
| Organisationseinheit: | Forschung / Forschungszentrum Business Informatics |
| Open Access?: | ja |
| Publicationlist: | Beyer, Hans-Georg |
| Schönenberger, Lisa | |
| Licence (German): |  Creative Commons - CC BY - International - Attribution- Namensnennung 4.0 |
