Abstract
Multi-agent technology is widely used in many fields such as intelligent manufacturing, logistics and environment exploration. In this paper, we propose a greedy K-means self-organizing map algorithm to balance the tasks and plan the paths for multiple agents exploring multiple target points, where greedy k-means adopts greedy strategy to ensure the tasks allocated for agents tending equally, and the self-organizing map networks are used for parallel path planning to speed up the problem solved.
Original language | English |
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Title of host publication | Cognitive Computation and Systems - First International Conference, ICCCS 2022, Revised Selected Papers |
Editors | Fuchun Sun, Jianmin Li, Huaping Liu, Zhongyi Chu |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 139-147 |
Number of pages | 9 |
ISBN (Print) | 9789819927883 |
DOIs | |
Publication status | Published - 2023 |
Event | 1st International Conference on Cognitive Computation and Systems, ICCCS 2022 - Beijing, China Duration: 17 Dec 2022 → 18 Dec 2022 |
Publication series
Name | Communications in Computer and Information Science |
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Volume | 1732 CCIS |
ISSN (Print) | 1865-0929 |
ISSN (Electronic) | 1865-0937 |
Conference
Conference | 1st International Conference on Cognitive Computation and Systems, ICCCS 2022 |
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Country/Territory | China |
City | Beijing |
Period | 17/12/22 → 18/12/22 |
Keywords
- Greedy K-means
- Multi-agent
- Path planning
- Self-organizing map
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Yang, H., Zhao, Q., Wang, L., Liu, W., & Chong, L. (2023). GK-Means SOM Algorithm Used to Plan the Paths for Multiple Agents Exploring Multiple Target Points. In F. Sun, J. Li, H. Liu, & Z. Chu (Eds.), Cognitive Computation and Systems - First International Conference, ICCCS 2022, Revised Selected Papers (pp. 139-147). (Communications in Computer and Information Science; Vol. 1732 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-2789-0_12