Multi-Agent Variational Approach for Robotics: A Bio-Inspired Perspective

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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Bibliographic Details
Main Author: Mir, Imran (author)
Other Authors: Gul, Faiza (author), Mir, Suleman (author), Abualigah, Laith (author), Abu Zitar, Raed (author), Hussien, Abdelazim G. (author), Awwad, Emad M. (author), Sharaf, Mohamed (author)
Published: 2023
Subjects:
multi-agent
numerical optimization
space exploration
meta-heuristic
bio-inspired
augmented framework
Aquila Optimizer
Online Access:https://depot.sorbonne.ae/handle/20.500.12458/1421
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https://depot.sorbonne.ae/handle/20.500.12458/1421

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