Emergent behaviors of a fuzzy sensory-motor controller evolved by genetic algorithm

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 31, Issue 6, 2001, Pages 919-929

  Lee, Seung Ik ^b   Cho, Sung Bae ^a,b  

^a Yonsei University ^*

^b Yonsei University   (South Korea)

Author keywords

Emergent behavior; Fuzzy controller; Genetic algorithm (GA); Khepera; Mobile robot

Indexed keywords

COMPUTER SIMULATION; FUZZY SETS; GENETIC ALGORITHMS; MATHEMATICAL MODELS; MOBILE ROBOTS; OPTIMIZATION; SENSORS;

FUZZY LOGIC CONTROLLERS (FLC);

FUZZY CONTROL;

EID: 0035677019     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/3477.969495     Document Type: Article

References (23)

1. A robust layered control system for a mobile robot
2. Fuzzy sets
3. The application of fuzzy control system to industrial process
4. Acquisition of swimming motion by RBF fuzzy neuro with unsupervised learning
5. A sensor-based navigation for a mobile robot using fuzzy logic and reinforcement learning
6. Tuning of a neuro-fuzzy controller by genetic algorithm
7. A GA paradigm for learning fuzzy rules
8. Mobile robot learning by evolution of fuzzy controller
9. Fuzzy behavior-based control for a miniature mobile robot
10. Virus evolutionary genetic algorithm with species
11. Fuzzy logic in control systems: Fuzzy logic controller, Part 2
12. Explaining emergence: Toward an ontology of levels
13. Emergence, hierarchies, and hyperstructures
14. Is anything new?
15. An experiment in linguistic synthesis with a fuzzy logic controller
16. Outline of a new approach to the analysis of complex systems and decision processes
17. A defuzzification strategy for a fuzzy logic controller employing prohibitive information in command formulation
18. Structure identification of fuzzy model
19. A simple adaptive defuzzification method