Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm

Nonfiction, Science & Nature, Mathematics, Calculus, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm by Leticia Amador, Oscar Castillo, Springer International Publishing
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Author: Leticia Amador, Oscar Castillo ISBN: 9783319542959
Publisher: Springer International Publishing Publication: April 27, 2017
Imprint: Springer Language: English
Author: Leticia Amador, Oscar Castillo
ISBN: 9783319542959
Publisher: Springer International Publishing
Publication: April 27, 2017
Imprint: Springer
Language: English

This book focuses on the fields of fuzzy logic, bio-inspired algorithm; especially bee colony optimization algorithm and also considering the fuzzy control area. The main idea is that this areas together can to solve various control problems and to find better results. In this book we test the proposed method using two benchmark problems; the problem for filling a water tank and the problem for controlling the trajectory in an autonomous mobile robot. When Interval Type-2 Fuzzy Logic System is implemented to model the behavior of systems, the results show a better stabilization, because the analysis of uncertainty is better. For this reason we consider in this book the proposed method using fuzzy systems, fuzzy controllers, and bee colony optimization algorithm improve the behavior of the complex control problems.

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This book focuses on the fields of fuzzy logic, bio-inspired algorithm; especially bee colony optimization algorithm and also considering the fuzzy control area. The main idea is that this areas together can to solve various control problems and to find better results. In this book we test the proposed method using two benchmark problems; the problem for filling a water tank and the problem for controlling the trajectory in an autonomous mobile robot. When Interval Type-2 Fuzzy Logic System is implemented to model the behavior of systems, the results show a better stabilization, because the analysis of uncertainty is better. For this reason we consider in this book the proposed method using fuzzy systems, fuzzy controllers, and bee colony optimization algorithm improve the behavior of the complex control problems.

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