Abstract
In recent years, agent clusters have become a research hotspot in the field of multi-agent technology, and can be widely used in post-disaster survivor search and rescue, environmental pollution source tracking and monitoring, park logistics and dispatching and other fields. As an important supporting technology for cluster collaboration, cluster path optimization technology restricts the performance of cluster. This paper summarizes three typical cluster optimization structures, including redundant optimization structure, distributed optimization structure, and hierarchical optimization structure, by analyzing the characteristics of clusters without center, distribution, and self-organization. The work of this paper provides a useful reference for the research of cluster path optimization technology in this field.
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Li, J., Yin, D., Yu, H. (2023). A Survey of Distributed Architectures and Path Optimization Methods Applied to Clusters of Agents. In: Fu, W., Gu, M., Niu, Y. (eds) Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022). ICAUS 2022. Lecture Notes in Electrical Engineering, vol 1010. Springer, Singapore. https://doi.org/10.1007/978-981-99-0479-2_296
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DOI: https://doi.org/10.1007/978-981-99-0479-2_296
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