Multi-Agent Variational Approach for Robotics: A Bio-Inspired Perspective
Multi-Agent Variational Approach for Robotics: A Bio-Inspired Perspective
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
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 Optimizer to enhance the algorithm's efficiency. The arc...
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Full title
Multi-Agent Variational Approach for Robotics: A Bio-Inspired Perspective
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TN_cdi_doaj_primary_oai_doaj_org_article_18ded80d24404893a4ce463569f5cc2d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_18ded80d24404893a4ce463569f5cc2d
Other Identifiers
ISSN
2313-7673
E-ISSN
2313-7673
DOI
10.3390/biomimetics8030294
