Optimization of fuzzy logic controllers with rule base size reduction using genetic algorithms

  title={Optimization of fuzzy logic controllers with rule base size reduction using genetic algorithms},
  author={Pintu Chandra Shill and M. A. H. Akhand and Md. Asaduzzaman and Kazuyuki Murase},
  journal={2013 IEEE Symposium on Computational Intelligence in Control and Automation (CICA)},
In this paper, we present the automatic design methods with rule base size reduction for fuzzy logic controllers (FLCs). The adaptive schema is divided into two phases: the first phase is concerned with the adaptive learning method for optimizing the MFs parameters based on the binary coded genetic algorithms. The second phase is about the learning and reducing: automatically generate the fuzzy rules and at the same time apply the genetic reduction technique to determine the minimum number of… CONTINUE READING


Publications citing this paper.
Showing 1-7 of 7 extracted citations

GA optimized fuzzy controlled DPLL using discrete energy separation algorithm

2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI) • 2016
View 1 Excerpt

Optimization of Fuzzy Neural Network Using Multiobjective NSGA-II

2016 International Conference on Computer and Communication Engineering (ICCCE) • 2016
View 2 Excerpts

Towards sparse rule base generation for fuzzy rule interpolation

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) • 2016
View 1 Excerpt

Multi objective non-dominated sorting genetic algorithm (NSGA-II) for optimizing fuzzy rule base system

2015 2nd International Conference on Electrical Information and Communication Technologies (EICT) • 2015
View 2 Excerpts


Publications referenced by this paper.
Showing 1-10 of 24 references

Design of a Self-Tuning Hierarchical Fuzzy Logic Controller for Nonlinear Swing Up and Stabilizing Control of Inverted Pendulum

P. C. Shill, M. F. Amin, M.A.H. Akhand, K. Murase
Proc. IEEE Int. Conf. on Fuzzy Systems, 2012, pp.1035- 1042. • 2012
View 1 Excerpt

Reduced rule base self-tuning fuzzy PI controller for TCSC,

S. Hameed, B. Das, V. Pant
Int. J. Electrical Power & Energy Systems, • 2010

Model generation by domain refinement and rule reduction

IEEE Trans. Systems, Man, and Cybernetics, Part B • 2003
View 1 Excerpt

Similar Papers

Loading similar papers…