Multi-Agent Variational Approach for Robotics: A Bio-Inspired Perspective
This study proposes an adaptable, bio-inspired optimization algorithm for Multi-Agent Space Exploration. The recommended approach combines a parameterized Aquila Optimizer, a bio-inspired technology, with deterministic Multi-Agent Exploration. Stochastic factors are integrated into the Aquila Optimi...
محفوظ في:
| المؤلف الرئيسي: | Mir, Imran (author) |
|---|---|
| مؤلفون آخرون: | Gul, Faiza (author), Mir, Suleman (author), Abualigah, Laith (author), Abu Zitar, Raed (author), Hussien, Abdelazim G. (author), Awwad, Emad M. (author), Sharaf, Mohamed (author) |
| منشور في: |
2023
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://depot.sorbonne.ae/handle/20.500.12458/1421 |
| الوسوم: |
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