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
Published in:Biomimetics
Main Authors: Imran Mir, Faiza Gul, Suleman Mir, Laith Abualigah, Raed Abu Zitar, Abdelazim G. Hussien, Emad Mahrous Awwad, Mohamed Sharaf
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Subjects:
multi-agent
numerical optimization
space exploration
meta-heuristic
bio-inspired
augmented framework
Online Access:https://www.mdpi.com/2313-7673/8/3/294

Internet

https://www.mdpi.com/2313-7673/8/3/294

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