Document Type
Conference Proceeding
Publication Date
6-2011
Publication Title
24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems
Abstract
Biogeography-based optimization (BBO) is an evolutionary algorithm (EA) based upon the models of biogeography, which describe the relationship between habitat suitability and the migration of species across habitats. In this work, we apply BBO to the problem of tuning the fuzzy tracking controller of mobile robots. This is an extension of previous work, in which we used BBO to tune a proportional-derivative (PD) controller for these robots. We show that BBO can successfully tune the shape of membership functions for a fuzzy controller with both simulation and real world experimental results.
Repository Citation
Thomas, George; Lozovyy, Paul; and Simon, Daniel J., "Fuzzy Robot Controller Tuning with Biogeography-Based Optimization" (2011). Electrical and Computer Engineering Faculty Publications. 185.
https://engagedscholarship.csuohio.edu/enece_facpub/185
Original Citation
G. Thomas, P. Lozovyy, and D. Simon. (2011). Fuzzy Robot Controller Tuning with Biogeography-Based Optimization. 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, 319-327.
DOI
10.1007/978-3-642-21827-9_33
