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A new memetic approach for the classification rules extraction problem

Author

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  • Sadjia Benkhider
  • Habiba Drias

Abstract

This paper presents a memetic algorithm applied to the classification rules extraction problem. In our new approach, our aim is to obtain a better results accuracy relatively to that obtained by a standard genetic algorithm (GA). A memetic algorithm is based on a GA which is improved by hybridising a local search approach. We made a hybrid method to compute a model of classification. In the literature, there are many hybridisation forms: in this paper, we have chosen to make our local search algorithm also based on a genetic approach so our hybridisation is purely evolutionary.

Suggested Citation

  • Sadjia Benkhider & Habiba Drias, 2013. "A new memetic approach for the classification rules extraction problem," International Journal of Data Mining, Modelling and Management, Inderscience Enterprises Ltd, vol. 5(4), pages 318-332.
  • Handle: RePEc:ids:ijdmmm:v:5:y:2013:i:4:p:318-332
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