Exploring f(Q) gravity through model-independent reconstruction with genetic algorithms
In this paper, we use a machine learning technique, specifically genetic algorithms, to reconstruct the functional form of f(Q) gravity in a model-independent manner. To achieve this, we use Hubble measurements derived from cosmic chronometers and radial baryon acoustic oscillations, including the l...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-04-01
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| Series: | Physics Letters B |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0370269325001340 |
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