Tuning fuzzy logic controllers by genetic algorithms

International Journal of Approximate Reasoning

Volumn 12, Issue 3-4, 1995, Pages 299-315

  Herrera, F ^a   Lozano, M ^a   Verdegay, J L ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

fuzzy logic control systems; genetic algorithms; tuning

Indexed keywords

EID: 0001603936     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/0888-613X(94)00033-Y     Document Type: Article

References (23)

1. Fuzzy logic in control systems: Fuzzy logic controller, Part 1
2. Fuzzy logic in control systems: Fuzzy logic controller, Part 2
3. A self-tuning method of fuzzy control by descent method
4. Adaptive fuzzy control
5. Gradient descent method for optimizing various fuzzy rule bases
6. A practical computer-aided tuning technique for fuzzy control
7. Genetic algorithms for fuzzy controllers
8. Optimization of fuzzy logic controller inference rules using a genetic algorithm
9. Automatic design of fuzzy systems using genetic algorithms and its application to lateral vehicle guidance
10. Genetic algorithms in controller design and tuning
11. Improvement methods of fuzzy controls
12. Defuzzification of fuzzy intervals
13. Applications of fuzzy algorithm for control of a simple dynamic plant
14. Comparison of fuzzy reasoning methods
15. Fuzzy controls under various approximate reasoning methods
16. An experimental comparison of binary and floating point representations in genetic algorithms
17. Reducing bias and inefficiency in the selection algorithm
18. Stabilization of an inverted pendulum by a high-speed fuzzy logic controller hardware system
19. Design and implementation of a fuzzy controller for a high performance induction motor drive
20. Fuzzy identification of systems and its applications to modeling and control