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

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 propo...

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Bibliographic Details
Main Authors: Amador, Leticia (Author), Castillo, Oscar (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:SpringerBriefs in Computational Intelligence,
Subjects:
Computational intelligence.
Artificial intelligence.
Mathematical optimization.
Calculus of variations.
Control engineering.
Robotics.
Automation.
Algorithms.
Computational Intelligence.
Artificial Intelligence.
Calculus of Variations and Optimization.
Control, Robotics, Automation.
Online Access:Full-text access
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Table of Contents:
  • Introduction
  • Theory and Background
  • Problems Statement
  • Bee Colony Optimization Algorithm.-Simulation results for the Proposed Methods
  • Statistical Analysis and Comparison of Results
  • Conclusions.

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