دورية أكاديمية
Maximizing adaptive power in neuroevolution.
| العنوان: | Maximizing adaptive power in neuroevolution. |
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| المؤلفون: | Paolo Pagliuca, Nicola Milano, Stefano Nolfi |
| المصدر: | PLoS ONE, Vol 13, Iss 7, p e0198788 (2018) |
| بيانات النشر: | Public Library of Science (PLoS), 2018. |
| سنة النشر: | 2018 |
| المجموعة: | LCC:Medicine LCC:Science |
| مصطلحات موضوعية: | Medicine, Science |
| الوصف: | In this paper we compare systematically the most promising neuroevolutionary methods and two new original methods on the double-pole balancing problem with respect to: the ability to discover solutions that are robust to variations of the environment, the speed with which such solutions are found, and the ability to scale-up to more complex versions of the problem. The results indicate that the two original methods introduced in this paper and the Exponential Natural Evolutionary Strategy method largely outperform the other methods with respect to all considered criteria. The results collected in different experimental conditions also reveal the importance of regulating the selective pressure and the importance of exposing evolving agents to variable environmental conditions. The data collected and the results of the comparisons are used to identify the most effective methods and the most promising research directions. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1932-6203 |
| Relation: | http://europepmc.org/articles/PMC6051599?pdf=render; https://doaj.org/toc/1932-6203 |
| DOI: | 10.1371/journal.pone.0198788 |
| URL الوصول: | https://doaj.org/article/7a3d168ff3224b6e84e4ee6225c6dda1 |
| رقم الأكسشن: | edsdoj.7a3d168ff3224b6e84e4ee6225c6dda1 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 19326203 |
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| DOI: | 10.1371/journal.pone.0198788 |