Title :
Mobile Robots Odor Localization with a Genetic Algorithm
Author :
Shi, Zhi- Biao ; Sun, Jiang-bo
Author_Institution :
Northeast Dianli Univ., Jilin, China
Abstract :
This article proposes a new implementation scheme of multi-robot odor localization based on genetic algorithm (GA). Firstly, a simple multi-hump plume model with a maximum only is set up. Secondly, the implementation procedure of mobile robot odor localization (MROL) based on GA in the stimulated environment is presented. The simulation results validate the proposed search scheme.
Keywords :
electronic noses; genetic algorithms; mobile robots; multi-robot systems; genetic algorithm; mobile robot odor localization; multihump plume model; multirobot odor localization; Genetic algorithms; Genetics; Mobile robots; Robot sensing systems; Sociology; Statistics; genetic algorithm; mobile robot odor localization; plume mode;
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2012 Fourth International Conference on
Conference_Location :
Mathura
Print_ISBN :
978-1-4673-2981-1
DOI :
10.1109/CICN.2012.213
