Simulation Study on Searching for Food by Cooperation of Multi-Robots with Swarm Intelligence

摘要：

In response to the disadvantages of the classical ant colony algorithm in path planning problem, an improved ant colony algorithm was proposed which combined classical algorithm with map-traveling strategy, to solve the problem that how multi-robots cooperated to search for food under the unknown environment. The thinking of method was explained, and the searching process was simulated and shown through animation. The simulation results show that the improved method is effective.

关键词： Swarm Intelligence Multi-robots Path Planning Ant Colony Algorithm Simulation

作者: Lan Wang Qian Zhang Nianfeng Wan

作者单位: School of Electric and Information Engineering ZhongYuan University of Technology Zhengzhou, Henan P Department of Automation University of Tianjin Tianjin, 300072, China PR

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）