Robots Active Olfaction base on improved Genetic Algorithm

摘要：

Robots active olfaction based on Genetic algorithm , in order to make the robot car plume in a specific environment, can be faster and more accurate to find the odor source, through the genetic algorithm crossover and mutation operator improved, the formation of a new improved genetic algorithm. In the five assumptions, will improve the genetic algorithm is applied to the robot active olfaction study, simulation results show that the genetic algorithm with traditional comparison, the robot car can be faster and more accurate in finding the odor plume source.

关键词： improved genetic algorithm robots active olfaction plume model

作者: Zhi- Biao Shi Jiang-bo Sun

作者单位: Northeast Dianli UniversityJilin Province, China Northeast Dianli University Jilin Province, China

会议类型: 国际会议

会议名称: 2011 International Conference on Information System and Computational Intelligence(2011 IEEE信息系统与计算智能国际会议 ICISCI 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 195-198

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）