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...
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| Other Authors: | , , , , , , |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://depot.sorbonne.ae/handle/20.500.12458/1421 |
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