Intelligent exploration for genetic algorithms: using self-organizing maps in evolutionary computation

@inproceedings{Amor2005IntelligentEF,
  title={Intelligent exploration for genetic algorithms: using self-organizing maps in evolutionary computation},
  author={Heni Ben Amor and Achim Rettinger},
  booktitle={GECCO},
  year={2005}
}
Exploration vs. exploitation is a well known issue in Evolutionary Algorithms. Accordingly, an unbalanced search can lead to premature convergence. GASOM, a novel Genetic Algorithm, addresses this problem by intelligent exploration techniques. The approach uses Self-Organizing Maps to mine data from the evolution process. The information obtained is successfully utilized to enhance the search strategy and confront genetic drift. This way, local optima are avoided and exploratory power is… CONTINUE READING
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