Towards Autonomous Bio-Inspired Optimization: Deep Reinforcement Learning for Adaptive Metaheuristic Orchestration.
- DOI
- 10.3390/biomimetics11090682
- Published
- 2026 Sep 21
- Container
- Biomimetics (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/biomimetics11090682,
title = {Towards Autonomous Bio-Inspired Optimization: Deep Reinforcement Learning for Adaptive Metaheuristic Orchestration.},
author = {Carrasco C and Crawford B and Valle C and Zulantay R and Giachetti G and Soto R},
year = {2026},
journal = {Biomimetics (Basel, Switzerland)},
doi = {10.3390/biomimetics11090682},
url = {https://doi.org/10.3390/biomimetics11090682}
}RIS
TY - JOUR TI - Towards Autonomous Bio-Inspired Optimization: Deep Reinforcement Learning for Adaptive Metaheuristic Orchestration. AU - Carrasco C AU - Crawford B AU - Valle C AU - Zulantay R AU - Giachetti G AU - Soto R PY - 2026 JO - Biomimetics (Basel, Switzerland) DO - 10.3390/biomimetics11090682 UR - https://doi.org/10.3390/biomimetics11090682 ER -
APA
C, C., B, C., C, V., R, Z., G, G., & R, S. (2026). Towards Autonomous Bio-Inspired Optimization: Deep Reinforcement Learning for Adaptive Metaheuristic Orchestration.. Biomimetics (Basel, Switzerland). https://doi.org/10.3390/biomimetics11090682
Source records
- pubmed · retrieved 2026-11-10T09:03:00.362Z