A GA based combinatorial auction algorithm for multi-robot cooperative hunting

Jianwei Gong*, Jianyong Qi, Guangming Xiong, Huiyan Chen, Wanning Huang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

28 引用 (Scopus)

摘要

In order to improve the hunting efficiency of multi-robot cooperative hunting in complicated environment: multi-target and dynamic continues surrounding, a combinatorial auction model based on genetic algorithm (GACA) was presented in this paper. The model adopted genetic algorithm to solve the winner determination problem in combinatorial auction. We also compared the combinatorial auction model based task allocation method with the traditional single item auction model in solving dynamic and complex task allocation problem in multi-robot cooperation. The simulation experiments were conducted in a self-developed visible multi-robot simulation platform, OpenSim, and the results showed the whole process of hunting was very smooth, and the cost time cost by our algorithm was much shorter than the compared method.

源语言英语
主期刊名Proceedings - 2007 International Conference on Computational Intelligence and Security, CIS 2007
137-141
页数5
DOI
出版状态已出版 - 2007
活动2007 International Conference on Computational Intelligence and Security, CIS'07 - Harbin, Heilongjiang, 中国
期限: 15 12月 200719 12月 2007

出版系列

姓名Proceedings - 2007 International Conference on Computational Intelligence and Security, CIS 2007

会议

会议2007 International Conference on Computational Intelligence and Security, CIS'07
国家/地区中国
Harbin, Heilongjiang
时期15/12/0719/12/07

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