New approach using ant colony optimization with ant set partition for fuzzy control design applied to the ball and beam system

Author:

Castillo Oscar,Lizárraga Evelia,Soria Jose,Melin Patricia,Valdez Fevrier

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference36 articles.

1. Ant colony optimization: introduction and recent trends;Blum;Phys. Life Rev.,2005

2. J. Brownlee, Cleaver Algorithms, Nature-Inspired Programming Recipes, Creative Commons, 2011.

3. Fuzzy controller design for ball and beam system with an improved ant colony optimization;Chang;World Acad. Sci. Eng. Technol.,2009

4. A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms;Derrac;Swarm Evolut. Comput.,2011

5. Advances in Intelligent Systems: Fuzzy Systems and Evolutionary Computation;Djordjevich,2002

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