On the Use of Biased-Randomized Transformers as Data-Driven Heuristics for Agile Optimization
This paper proposes the concept of biased-randomized transformers, a novel methodology that combines biased-randomized techniques and transformer-based deep learning for ‘agile’ optimization (i.e., real-time optimization that is carried out iteratively in dynamic systems). On the one hand, biased-ra...
I tiakina i:
| Ngā kaituhi matua: | , , , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
MDPI AG
2026-05-01
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| Rangatū: | Information |
| Ngā marau: | |
| Urunga tuihono: | https://www.mdpi.com/2078-2489/17/5/504 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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