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. © 2011 Springer-Verlag.
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CITATION STYLE
Thomas, G., Lozovyy, P., & Simon, D. (2011). Fuzzy robot controller tuning with biogeography-based optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6704 LNAI, pp. 319–327). https://doi.org/10.1007/978-3-642-21827-9_33
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