Quantum-Inspired Hybrid Bald Eagle-Ukari Algorithm with Reinforcement Learning for Performance Optimization of Conical Solar Distillers with Sand-Filled Copper Fins: A Novel Bio-Inspired Approach
- DOI
- 10.3390/ai7040145
- Published
- 04
- Container
- AI
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/ai7040145,
title = {Quantum-Inspired Hybrid Bald Eagle-Ukari Algorithm with Reinforcement Learning for Performance Optimization of Conical Solar Distillers with Sand-Filled Copper Fins: A Novel Bio-Inspired Approach},
author = {Mohamed Loey and Mostafa Elbaz and Hanaa Salem Marie and Heba M. Khalil},
year = {2026},
journal = {AI},
doi = {10.3390/ai7040145},
url = {https://doi.org/10.3390/ai7040145}
}RIS
TY - JOUR TI - Quantum-Inspired Hybrid Bald Eagle-Ukari Algorithm with Reinforcement Learning for Performance Optimization of Conical Solar Distillers with Sand-Filled Copper Fins: A Novel Bio-Inspired Approach AU - Mohamed Loey AU - Mostafa Elbaz AU - Hanaa Salem Marie AU - Heba M. Khalil PY - 2026 JO - AI DO - 10.3390/ai7040145 UR - https://doi.org/10.3390/ai7040145 ER -
APA
Loey, M., Elbaz, M., Marie, H. S., & Khalil, H. M. (2026). Quantum-Inspired Hybrid Bald Eagle-Ukari Algorithm with Reinforcement Learning for Performance Optimization of Conical Solar Distillers with Sand-Filled Copper Fins: A Novel Bio-Inspired Approach. AI. https://doi.org/10.3390/ai7040145
Source records
- doaj · retrieved 2026-09-26T00:27:41.402Z