@inproceedings{6be16cc2b9004b2388da7401d7a12eb5,
title = "GK-Means SOM Algorithm Used to Plan the Paths for Multiple Agents Exploring Multiple Target Points",
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.",
keywords = "Greedy K-means, Multi-agent, Path planning, Self-organizing map",
author = "Hexing Yang and Qingjie Zhao and Lei Wang and Wangwang Liu and Ling Chong",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 1st International Conference on Cognitive Computation and Systems, ICCCS 2022 ; Conference date: 17-12-2022 Through 18-12-2022",
year = "2023",
doi = "10.1007/978-981-99-2789-0_12",
language = "English",
isbn = "9789819927883",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "139--147",
editor = "Fuchun Sun and Jianmin Li and Huaping Liu and Zhongyi Chu",
booktitle = "Cognitive Computation and Systems - First International Conference, ICCCS 2022, Revised Selected Papers",
address = "Germany",
}