Achieving memetic adaptability by means of fuzzy decision trees

@article{Acampora2010AchievingMA,
  title={Achieving memetic adaptability by means of fuzzy decision trees},
  author={Giovanni Acampora and Jos{\'e} Manuel Cadenas and Vincenzo Loia and Enrique Mu{\~n}oz Ballester},
  journal={International Conference on Fuzzy Systems},
  year={2010},
  pages={1-8}
}
Evolutionary Algorithms are a collection of optimization techniques that take their inspiration from natural selection and survival of the fittest in the biological world and they have been exploited to try to resolve some of the more complex NP-complete problems. Nevertheless, in spite of their capability of exploring and exploiting promising regions of the search space, they present some drawbacks and, in detail, they can take a relatively long time to locate the exact optimum in a region of… CONTINUE READING