Unification of Consensus-Based Multi-Objective Optimization and Multi-Robot Path Planning
Fuente:
arXiv
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866912325101944832 |
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| author | Wozniak, Michael P. |
| author_facet | Wozniak, Michael P. |
| contents | Multi-agent systems seeking consensus may also have other objective functions to optimize, requiring the research of multi-objective optimization in consensus. Several recent publications have explored this domain using various methods such as weighted-sum optimization and penalization methods. This paper reviews the state of the art for consensus-based multi-objective optimization, poses a multi-agent lunar rover exploration problem seeking consensus and maximization of explored area, and achieves optimal edge weights and steering angles by applying SQP algorithms. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_09577 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Unification of Consensus-Based Multi-Objective Optimization and Multi-Robot Path Planning Wozniak, Michael P. Multiagent Systems Multi-agent systems seeking consensus may also have other objective functions to optimize, requiring the research of multi-objective optimization in consensus. Several recent publications have explored this domain using various methods such as weighted-sum optimization and penalization methods. This paper reviews the state of the art for consensus-based multi-objective optimization, poses a multi-agent lunar rover exploration problem seeking consensus and maximization of explored area, and achieves optimal edge weights and steering angles by applying SQP algorithms. |
| title | Unification of Consensus-Based Multi-Objective Optimization and Multi-Robot Path Planning |
| topic | Multiagent Systems |
| url | https://arxiv.org/abs/2504.09577 |