Evolution of Fuzzy Controllers and Applications

@inproceedings{Pratihar2007EvolutionOF,
  title={Evolution of Fuzzy Controllers and Applications},
  author={Dilip Kumar Pratihar and Nirmal Baran Hui},
  booktitle={Advances in Evolutionary Computing for System Design},
  year={2007}
}
The present chapter deals with the issues related to the evolution of optimal fuzzy logic controllers (FLC) by proper tuning of its knowledge base (KB), using different tools, such as least-square techniques, genetic algorithms, backpropagation (steepest descent) algorithm, ant-colony optimization, reinforcement learning, Tabu search, Taguchi method and simulated annealing. The selection of a particular tool for the evolution of the FLC, generally depends on the application. Some of the… CONTINUE READING
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