摘要
基于多机器人协作的动态优化联盟机制及蚁群算法的并行工作策略和自组织原理,将蚁群算法应用于多机器任务协作。仿真试验表明该方法的可行性,能够有效地提高多机器协调系统完成任务的效率。
Based on the dynamic optima coalitions mechanism of multi-robots cooperation and coordination, and the parallel running method and self-organization of the Ant Colony Algorithm （ACA） , ACA was applied in multi-robot task cooperation and coordination. The simulation result shows this way is feasible and can complete tasks of multi-robots effectively.
出处
《机床与液压》
北大核心
2008年第8期42-43,50,共3页
Machine Tool & Hydraulics
基金
研究生创新资金项目(YC07C006)
关键词
多机器人协作
蚁群算法
Multi-robot cooperation and coordination
Ant colony algorithm
