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Hierarchical Genetic Optimization of the Fuzzy Integrator for Navigation of a Mobile Robot
Conference proceeding   Peer reviewed

Hierarchical Genetic Optimization of the Fuzzy Integrator for Navigation of a Mobile Robot

Abraham Melendez, Oscar Castillo and Raja Rizwan Hussain
SOFT COMPUTING APPLICATIONS IN OPTIMIZATION, CONTROL, AND RECOGNITION, Vol.294, pp.77-96
Studies in Fuzziness and Soft Computing
01/01/2013

Abstract

Computer Science Computer Science, Artificial Intelligence Computer Science, Interdisciplinary Applications Science & Technology Technology
This paper describes the optimization of an Integrator control block within the proposed navigation control system for a mobile robot. The control blocks that the integrator will combine are two Fuzzy Inference Systems (FIS) in charge of tracking and reaction respectively. The integrator block is call Weighted Fussy Inference System (WFIS), and assigns weights to the responses on each behavior block, to combine them into a single response.

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